{"text_format":"3","workbook":"xls","n_sheets":12,"sheets":["B1","B2","Ü1","Ü2","Ü3","LÜ3","Ü4","LÜ4","Ü5","LÜ5","Vergleic__unifMeth_1_2_wen_Dat","Vergleic_Unif_Meth1_2_viele_Dat"],"not_rendered":{"charts":7,"external_links":1},"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"B1","index":0,"n_rows":12,"n_cols":1,"rows_kept":12,"flags":["formulas_cached_only"]}
["Beispiel 1"]
[]
[0.3]
[0.5]
[0.7]
[0.8]
[1.1]
[1.2]
[1.5]
[1.7]
[2]
[2.2]

{"sheet":"B2","index":1,"n_rows":14,"n_cols":1,"rows_kept":14,"flags":["formulas_cached_only"]}
["Beispiel 2"]
[]
[]
[0.3]
[0.5]
[0.8]
[1.5]
[2]
[2.5]
[3.5]
[4]
[6]
[8]
[11]

{"sheet":"Ü1","index":2,"n_rows":14,"n_cols":1,"rows_kept":14,"flags":["formulas_cached_only"]}
["Übung 1"]
[]
[3.483624465]
[4.28712291]
[3.555873009]
[1.807750757]
[2.654784157]
[11.90916005]
[2.665970716]
[1.479815386]
[0.08793726]
[2.227560483]
[5.569712412]
[0.204311269]

{"sheet":"Ü2","index":3,"n_rows":10,"n_cols":1,"rows_kept":10,"flags":["formulas_cached_only"]}
["Übung 2"]
[]
[2.15]
[2.411]
[2.58]
[2.81]
[3.05]
[3.198]
[3.388]
[3.601]

{"sheet":"Ü3","index":4,"n_rows":27,"n_cols":1,"rows_kept":27,"flags":["formulas_cached_only"]}
["Übung 3"]
["Bei einem Produkt werde folgende Zeit gemessen (in Jahren), bis es vom Kunden zurück zur Reparatur kommt."]
[4.8]
[5.1]
[8.2]
[1.2]
[9.2]
[2.7]
[3.5]
[11.7]
[3.6]
[2.8]
[20.9]
[11.7]
[2.5]
[1]
[7.9]
[0.8]
[5]
[3.3]
[2.9]
[]
["Zeichnen Sie den Punkteplot der empirischen Verteilungsfunktion"]
["Passen Sie eine theoretische Verteilungsfunktion an die Daten an (= schätzen)."]
["Berechnen Sie die geschätzte Wahrscheinlichkeit, dass eine Maschine im ersten Jahr ausfällt."]
["Berechnen Sie die geschätzte Wahrscheinlichkeit, dass eine Maschine im 3. Jahr ausfällt."]
["Wie lange muss die Garantiedauer sein, damit in ihr nur 5% der verkauften Produkte zurückkommen?"]

{"sheet":"LÜ3","index":5,"n_rows":137,"n_cols":8,"rows_kept":137,"flags":["formulas_cached_only"]}
["Lösung Übung 3"]
["Die Daten werden geordnet:","relative Häufigkeiten (Anzahl der xj <*xi) = i/19",{"$nulls":3},"Anzahl Daten = 19"]
[0.8,0.05263157894736842]
[1,0.10526315789473684]
[1.2,0.157894736842105]
[2.5,0.210526315789473]
[2.7,0.263157894736842]
[2.8,0.31578947368421]
[2.9,0.368421052631579]
[3.3,0.421052631578947]
[3.5,0.473684210526315]
[3.6,0.526315789473684]
[4.8,0.578947368421052]
[5,0.631578947368421]
[5.1,0.684210526315789]
[7.9,0.736842105263158]
[8.2,0.789473684210526]
[9.2,0.842105263157894]
[11.7,0.894736842105263]
[11.7,0.947368421052631]
[20.9,1]
[]
["Wir zeichnen den Punktepolot"]
{"$rows_empty":19}
["Die Punkte scheinen zum Modell einer Exponentialverteilung zu passen."]
[]
["Wir berechnen den Mittelwert der Daten:",null,null,5.726315789473685]
["setzen diesen mit dem Erwartungswert gleich und berechnen Lamda:"]
["Lamda =",0.17463235294117643,{"$nulls":5},0.174632352941176]
["Wir zeichnen die erhaltende Kurve über die Punkte der empirischen Verteilungsfunktion, "]
["um die Anpassung zu überprüfen:"]
[]
["Auf Grund des Modelles erwartete relative, kumulierte Häufigkeiten"]
[0.1303860333968609]
[0.1602342985868095]
[0.18905806443674683]
[0.35375777381950596]
[0.3759391210434071]
[0.38674263629003397]
[0.39735912500508397]
[0.4380187343047377]
[0.45730794364871574]
[0.4667028313955925]
[0.5675269618615392]
[0.5823709851012793]
[0.5896008269036299]
[0.7483196850381701]
[0.7611657050585896]
[0.7994351507870017]
[0.8703865253510369]
[0.8703865253510369]
[0.974004093001058]
[]
[]
[]
["Man erhält eine glattere Kurve für das Modell, wenn man nicht die (laut dem Modell) für die Daten erwarteten Werte der Verteilungsfunktion verwendet, "]
["sondern mehr Punkte auf der X-Achse in regelmässigem Abstand wählt. "]
["z.B. "]
[]
[]
[0,0]
[0.5,0.0836126902814561]
[1,0.1602342985868095]
[1.5,0.23044936808806032]
[2,0.29479356673001217]
[2.5,0.35375777381950596]
[3,0.40779182492393434]
[3.5,0.45730794364871574]
[4,0.5026838864746221]
[4.5,0.5442658246467971]
[5,0.5823709851012793]
[5.5,0.6172900705765557]
[6,0.649289477373076]
[6.5,0.6786133276799285]
[7,0.7054853319732146]
[7.5,0.730110495694284]
[8,0.7526766832280135]
[8.5,0.7733560511126522]
[9,0.7923063614151361]
[9.5,0.809672185291561]
[10,0.8255860059147241]
[10.5,0.8401692291829279]
[11,0.8535331099207022]
[11.5,0.8657796006373906]
[12,0.8770021293187498]
[12.5,0.8872863121852999]
[13,0.896710606855031]
[13.5,0.9053469108934209]
[14,0.9132611103170724]
[14.5,0.9205135822354884]
[15,0.9271596554656149]
[15.5,0.933250032633163]
[16,0.9388311769809037]
[16.5,0.9439456668348806]
[17,0.9486325204327493]
[17.5,0.9529274935923447]
[18,0.9568633524913799]
[18.5,0.9604701236392985]
[19,0.9637753229483101]
[19.5,0.9668041656511788]
[20,0.9695797586672213]
[]
[]
["Das Modell scheint zu den Daten zu passen. Wir berechnen die Wahrscheinlichkeiten:"]
["Ausfallwahrscheinlichkeit im ersten Jahr",null,null,0.1602342985868095]
["Ausfallwahrscheinlichkeit im dritten Jahr: ",null,null,0.11299825819392217]
[]
[]
["Wir müssen die Gleichung 0.05 = 1-exp(-Lamda*x))"]
["nach x auflösen:"]
["Wir nehmen 1 auf die andere Seite und multiplizieren mit -1:"]
["1-0.05=0.95=exp(-Lamda*x)"]
["Wir logarithmieren beide Seiten:"]
["ln(0.95)=-Lamda*ln(expx)=-Lamda*x"]
["Wir lösen nach x auf:"]
["x=ln0.95/-Lamda=",null,0.2937216015455528]
["Die Garantiedauer darf 0.2937216 Jahre betragen. "]
[3.5246592000000003,"Monate."]
["Es wäre vermutlich angebraucht, die Qualität des Produktes zu verbessern. "]

{"sheet":"Ü4","index":6,"n_rows":37,"n_cols":2,"rows_kept":37,"flags":["formulas_cached_only"]}
["Übung 4"]
["Wir hätten folgende Daten erhoben und möchten eine theoretische Verteilungsfunktion anpassen (schätzen)."]
[]
[3.6,0.037037037037037035]
[5.6,0.07407407407407407]
[2.1,0.111111111111111]
[7.7,0.148148148148148]
[9.6,0.185185185185185]
[9.8,0.222222222222222]
[4.5,0.259259259259259]
[3.6,0.296296296296296]
[8.3,0.333333333333333]
[2.4,0.37037037037037]
[10,0.407407407407407]
[8.1,0.444444444444444]
[9.2,0.481481481481481]
[4,0.518518518518518]
[3.5,0.555555555555555]
[4.3,0.592592592592593]
[9.5,0.62962962962963]
[7.9,0.666666666666667]
[5.5,0.703703703703704]
[4.7,0.740740740740741]
[1.4,0.777777777777778]
[2.8,0.814814814814815]
[5,0.851851851851852]
[6.4,0.888888888888889]
[3.9,0.925925925925926]
[2.8,0.962962962962963]
[6.2,1]
[]
["Suchen Sie ein passende Modell für die Daten"]
["Berechnen Sie die folgenden Wahrscheinlichkeiten: "]
["P(1< X < 2)"]
["P(1.5 < X < 3.5)"]
["P(X < 10)"]
["P(X > 5)"]

{"sheet":"LÜ4","index":7,"n_rows":44,"n_cols":9,"rows_kept":44,"flags":["formulas_cached_only"]}
["Lösung Übung 4"]
[]
["Wir ordnen die Daten:",null,null,"Punkteplot:"]
[1.4,0.037037037037037035]
[2.1,0.07407407407407407]
[2.4,0.111111111111111]
[2.8,0.148148148148148]
[2.8,0.185185185185185]
[3.5,0.222222222222222]
[3.6,0.259259259259259]
[3.6,0.296296296296296]
[3.9,0.333333333333333]
[4,0.37037037037037]
[4.3,0.407407407407407]
[4.5,0.444444444444444]
[4.7,0.481481481481481]
[5,0.518518518518518]
[5.5,0.555555555555555]
[5.6,0.592592592592593]
[6.2,0.62962962962963]
[6.4,0.666666666666667]
[7.7,0.703703703703704]
[7.9,0.740740740740741]
[8.1,0.777777777777778]
[8.3,0.814814814814815]
[9.2,0.851851851851852]
[9.5,0.888888888888889]
[9.6,0.925925925925926]
[9.8,0.962962962962963]
[10,1]
[]
["Eine uniforme Verteilung könnte (knapp) zu den Daten passen."]
["Wir berechnen eine Gerade durch den ersten und den letzten Punkt."]
[]
["1=10a+b"]
["0.037037037037037=1.4a+b"]
["[a=0.11197,b=-0.11972]"]
["Damit gilt die Gleichung: F(x) = 0.11197x-0.11972",{"$nulls":3},"für 1. 0692< x <= 10; ",null,"F(x) = 0 für x <= 1.0692",null,"F(x) = 1 für x > 10"]
[]
["Damit erhalten wir die folgenden Wahrscheinlichkeiten:"]
["P(1< X < 2)","\"=\"",0.10422000000000001]
["P(1.5 < X < 3.5)",null,0.22394]
["P(X < 10)",null,1]
["P(X > 5)",null,0.5598700000000001]

{"sheet":"Ü5","index":8,"n_rows":38,"n_cols":1,"rows_kept":38,"flags":["formulas_cached_only"]}
["Übung 5"]
["Schätzen Sie für die folgenden Daten ein Wahrscheinlichkeitsmodell (= W-Modell) und berechnen Sie die folgenden geschätzten Wahrscheinlichkeiten"]
["P(1.2< X < 2.1)"]
["P(1.6 < X < 2.5)"]
["P(X < 8)"]
["P(X > 15)"]
[]
[]
[17.7]
[16.7]
[16.5]
[15.9]
[20]
[8.1]
[18.3]
[17]
[5.9]
[18.3]
[17.1]
[5.2]
[10.2]
[17.3]
[19.9]
[18.8]
[19.2]
[19.8]
[12]
[18.7]
[18.2]
[15.8]
[12.5]
[19]
[18.2]
[15.3]
[13.3]
[19.8]
[11.9]
[18.8]

{"sheet":"LÜ5","index":9,"n_rows":106,"n_cols":3,"rows_kept":106,"flags":["formulas_cached_only"]}
["Lösung Übung 5"]
["Bestimmen Sie für die folgenden Daten ein Wahrscheinlichkeitsmodell (= W-Modell) und berechnen Sie die folgenden Wahrscheinlichkeiten"]
[]
[]
[]
[]
[]
["Geordnete Daten"]
[5.2,0.03333333333333333]
[5.9,0.06666666666666667]
[8.1,0.1]
[10.2,0.133333333333333]
[11.9,0.166666666666666]
[12,0.2]
[12.5,0.233333333333333]
[13.3,0.266666666666666]
[15.3,0.3]
[15.8,0.333333333333333]
[15.9,0.366666666666666]
[16.5,0.4]
[16.7,0.433333333333333]
[17,0.466666666666666]
[17.1,0.5]
[17.3,0.533333333333333]
[17.7,0.566666666666666]
[18.2,0.6]
[18.2,0.633333333333333]
[18.3,0.666666666666666]
[18.3,0.7]
[18.7,0.733333333333333]
[18.8,0.766666666666666]
[18.8,0.8]
[19,0.833333333333333]
[19.2,0.866666666666666]
[19.8,0.9]
[19.8,0.933333333333333]
[19.9,0.966666666666666]
[20,1]
[]
["Die Daten passen nicht zu einem der bisher behandelte Modelle. Am besten wählen wir ein Polynom 2. Grades."]
["Mögliches Modell: y = ax^2"]
[]
["Das Polynom verläuft durch (20,1)"]
["Damit gilt: ","1=20^2a"]
["Somit ist a = 1/20^2=",null,0.0025]
[]
["Wir kontrollieren die Anpassung zeichnerisch:"]
[]
[0,0]
[1,0.0025]
[2,0.01]
[3,0.0225]
[4,0.04]
[5,0.0625]
[6,0.09]
[7,0.1225]
[8,0.16]
[9,0.2025]
[10,0.25]
[11,0.3025]
[12,0.36]
[13,0.4225]
[14,0.49]
[15,0.5625]
[16,0.64]
[17,0.7225]
[18,0.81]
[19,0.9025]
[20,1]
[]
["Das Modell passt nicht zu den Daten. Wir versuchen es mit folgendem Modell:"]
["F(x)=ax^4","Mit dem Punkt (20,1) ergibt sich:"]
["1=a20^4"]
["a=1/20^4",6.25e-06]
[]
[0,0]
[1,6.25e-06]
[2,0.0001]
[3,0.00050625]
[4,0.0016]
[5,0.00390625]
[6,0.0081]
[7,0.01500625]
[8,0.0256]
[9,0.04100625]
[10,0.0625]
[11,0.09150625000000001]
[12,0.1296]
[13,0.17850625]
[14,0.2401]
[15,0.31640625]
[16,0.4096]
[17,0.52200625]
[18,0.6561]
[19,0.81450625]
[20,1]
[]
[]
["Nun passen die Daten nicht schlecht zum Modell. "]
["Das Modell wäre damit",null,"F(x) = 0.00000625*x^2   für 0 < x <= 20;    F(x) = 0 für x <= 0; F(x) = 1 für x > 10"]
["Wir berechnen die Wahrscheinlichkeiten:"]
[]
["P(1.2< X < 2.1)",null,0.00010859062500000001]
["P(1.6 < X < 2.5)",null,0.00020318062499999999]
["P(X < 8)",null,0.0256]
["P(X > 15)",null,0.68359375]

{"sheet":"Vergleic__unifMeth_1_2_wen_Dat","index":10,"n_rows":22,"n_cols":13,"rows_kept":22,"flags":["formulas_cached_only"]}
["Beispiel für uniformverteilte Daten und die zwei Schätzmethoden (kleinstes Datum und grösstes Datum oder Nullpunkt der Geraden durch die den ersten und den letzten Punkt"]
["der empirischen Verteilungsfunktion bei wegnig Daten."]
["Beispiel dafür, dass die Methode 2 bei weniger Daten besser ist:",{"$nulls":4},"(durch Bestätigen des Eintrags eines beliebigen Buchstabens in einer leeren Zelle werden jeweils neue Zufallszahlen generiert)."]
[{"$nulls":5},"Man sieht, dass die zweite Methode bei so wenigen Daten fast immer besser ist."]
["uniform verteilte Daten U(2,7)"]
[5.624819502202369,null,null,"Methode 1",2.5729723883478877,"untere Grenze"]
[3.1898177749383665,{"$nulls":3},6.958172739930084,"obere Grenz"]
[4.860264808723041]
[5.495175540249987,null,null,"Methode 2","Anzahl Daten",null,12]
[3.902916502880795,{"$nulls":3},"Steigung",null,0.20903643919848042]
[2.5729723883478877,{"$nulls":3},"Ordinatenabschnitt:",null,-0.4545116528829187]
[3.77686854974373,{"$nulls":3},"Nullstelle:",null,0.45991436715117134]
[2.8389076052519355]
[3.7269360247720544,{"$nulls":3},0.45991436715117134,"untere Grenze"]
[5.696328734679541,{"$nulls":3},6.958172739930084,"obere Grenz"]
[6.933771218923346]
[6.958172739930084]
[{"$nulls":9},"Differenz"]
[{"$nulls":9},"Schätzung - Modell",null,"Steigung","Ordinatenabschnitt"]
[{"$nulls":4},"Wahrscheinlichkeit",null,"P(3<X<=5)","Modell",0.3999999999999999,null,"F(x)=",0.2,-0.40000000000000013]
[{"$nulls":7},"Methode 1",0.45607950370577544,0.05607950370577541,"F(x)=",0.22803975185288775,-0.5867399849631842]
[{"$nulls":7},"Methode 2",0.41807287839696095,0.018072878396960923,"F(x)=",0.20903643919848042,-0.4545116528829187]

{"sheet":"Vergleic_Unif_Meth1_2_viele_Dat","index":11,"n_rows":2202,"n_cols":10,"rows_kept":2202,"flags":["formulas_cached_only"]}
["Beispiel für uniformverteilte Daten und die zwei Schätzmethoden (kleinstes Datum und grösstes Datum oder Nullpunkt der Geraden durch die den ersten und den letzten Punkt"]
["der empirischen Verteilungsfunktion bei vielen Daten",{"$nulls":3},"Mit Bestätigung des Eintrags eines beliebigen Buchstabens in eine leere Zelle werden die Zufallszahlen neu generiert."]
[]
["Daten",{"$nulls":3},"Verfahren 1: "]
[6.047422382190234,"[2, 7]",null,null,"Schätzen mit grösstem und kleinstem Datum:"]
[2.243973481229674,{"$nulls":3},{"v":2.0023313238706217,"d":"2.00233132387062"},"geschätzte untere Grenze des Intervalls [a, b]"]
[5.953139672186827,{"$nulls":3},{"v":6.9964409214611045,"d":"6.99644092146110"},"geschätzte obere Grenze des Intervalls [a, b]"]
[3.24453537930847]
[4.990887364101445,{"$nulls":3},"Verfahren 2:",null,"Anzahl Daten:"]
[6.593719225661782,{"$nulls":5},2198]
[3.7137073309359607,{"$nulls":3},"Gerade durch Punkte (x1,1/2198) und (xn,1)"]
[5.719651233441774,{"$nulls":3},"Steigung:",0.20014479486564876]
[2.150305667816411,{"$nulls":3},"Ordinatenabschnitt:",null,"1=xn*Steigung+Ordinatenabschnitt"]
[5.241552172944305,{"$nulls":5},"O-Abschnitt  =",-0.4003012330154634]
[5.6098233449436705,{"$nulls":3},"Schnittpunkt mit x-Achse",null,"0=Steigung*x-Ordinatenabschnitt"]
[4.203273543559131,{"$nulls":5},"Nullstelle =",2.0000581743041264]
[3.937108464413178,{"$nulls":3},2.0000581743041264,"geschätzte untere Grenze des Intervalls [a, b]"]
[4.8043157457793,{"$nulls":3},{"v":6.9964409214611045,"d":"6.99644092146110"},"geschätzte obere Grenze des Intervalls [a, b]"]
[2.7049825953064093]
[2.329095155194232]
[6.073175968888234]
[3.4502391174524565,{"$nulls":3},"Die beiden Verfahren unterscheiden sich kaum mehr."]
[2.922702381026334]
[2.7377483949192856,{"$nulls":3},"Die Daten wurden gemäss Modell U(2; 7) "]
[2.757044692310122,{"$nulls":3},"erstellt. ",{"$nulls":4},"Differenz zur korrekten Länge von 7-2 = 5"]
[2.3785545557764305,{"$nulls":3},"Das erste Verfahren unterschätzt die Intervalllänge immer leicht. ",{"$nulls":3},4.994109597590483,-0.005890402409517215]
[4.145059407043803,{"$nulls":3},"Das zweite Verfahren kann die Länge auch leicht überschätzten.",{"$nulls":3},{"v":4.996382747156979,"d":"4.99638274715698"},{"v":-0.00361725284302139,"d":"-0.00361725284302"}]
[5.2352443523305805,{"$nulls":3},"Das zweite Verfahren schneidet fast immer leicht besser ab."]
[2.50620604213296,{"$nulls":3},"Im Durchschnitt wird es deshalb näher beim wirklichen Werte liegen."]
[2.0643535696996462]
[6.529860564652774]
[4.543872438879265]
[4.487352657704147]
[3.1532199067312146]
[2.855320076499006]
[6.173561162943716]
[6.242129051564464]
[3.954810071921131]
[6.457546726429287]
[5.057014755096459]
[6.986603023213617]
[6.660612345648422]
[3.3087774291875225]
[6.737971802090138]
[5.991186024473046]
[4.613368164984271]
[4.339691000680868]
[6.208232580104215]
[2.9798609864311345]
[4.577635748050279]
[2.2636735831754655]
[4.653483737767306]
[3.4634549316594105]
[4.3664752374119065]
[4.300560804964771]
[2.411393224255165]
[4.538232007772089]
[4.184741728188864]
[6.228264301209174]
[2.200227173144743]
[2.0836278893448372]
[4.78877710610849]
[3.3711733564471915]
[4.89260467402774]
[5.622605012523164]
[3.135227702010476]
[5.6717224129380055]
[6.676312453307675]
[6.521617403447959]
[4.718231960172744]
[3.58392660033988]
[5.742898191386915]
[4.54267362110832]
[4.870209354060737]
[2.091862019886762]
[2.0800510582952736]
[4.736137417223697]
[4.15804862439307]
[6.560562603543124]
[6.829028162259442]
[5.616854752840137]
[2.333074171710307]
[2.125007637106]
[4.083797734012249]
[6.1112963316654945]
[2.584765321516192]
[2.319832334384682]
[3.3556290933416806]
[2.0292064305453654]
[3.2651769291751713]
[6.439412194652061]
[5.661938833306619]
[3.5333164442270664]
[3.5797738312481697]
[5.501582716062206]
[6.9862128978759195]
[4.490950966418369]
[6.462382225157791]
[2.034695929039381]
[5.526263337095503]
[5.424488622495195]
[4.550245531917098]
[6.90900413286645]
[2.281454001574158]
[3.5907747912834203]
[4.716309496280726]
[3.3021992700699387]
[3.9488767133974023]
[4.767826279443806]
[5.907610798294465]
[6.934218660267041]
[4.880899516488819]
[4.889311893854369]
[4.062176775524959]
[3.0008561188405]
[6.805995498420507]
[6.6828773887178095]
[6.4347483332151185]
[2.339195426289388]
[3.9922286491435988]
[6.600701190979578]
[3.4762511058229197]
[2.3452406141336373]
[3.7002187340896757]
[3.1245862847642996]
[5.781906515490901]
[5.526954015553365]
[4.20508795476708]
[5.379266145520234]
[5.966512041172924]
[4.047602187817775]
[5.017699482924188]
[4.157592264353974]
[2.9171431948550786]
[3.5072615345700537]
[5.347954044251221]
[3.0536506711761557]
[3.2559159128062527]
[6.913894001666602]
[4.239283577766695]
[2.98101652833886]
[4.719520043561868]
[2.713989152504685]
[5.583954915502202]
[5.243900120421634]
[5.108267308605256]
[6.532950388905029]
[3.7189467916837837]
[6.835464410792017]
[5.191459378444644]
[6.69604833519568]
[5.6495258399521475]
[6.1526388662311255]
[4.271341402202656]
[2.605975253242321]
[4.184110622262977]
[5.265224025178125]
[5.25813003804358]
[6.604610917115185]
[3.713205267423819]
[2.9539560910148595]
[5.284186809991279]
[6.22992037973443]
[5.411632329086061]
[3.534446936999021]
[5.794595589694275]
[6.157648785349128]
[6.182886042276159]
[2.9520220399247457]
[3.228118274940667]
[3.602726302842915]
[2.9064688870519837]
[2.1106759224867986]
[6.3226291201114995]
[2.7619194520650305]
[6.3335274681754266]
[2.9089940717937632]
[3.237240367959218]
[6.113175142073997]
[4.396084457684372]
[4.393581411925497]
[5.341464226270919]
[6.24586284450099]
[2.9451131350524156]
[4.082633575021583]
[3.4841014467331073]
[2.30504446072709]
[5.074628686156777]
[3.051914249182968]
[5.0239507220504915]
[5.654203422048899]
[4.450555890748415]
[4.893928450607325]
[6.070127561907158]
[5.681460457224477]
[6.438030069197794]
[2.4553313860704007]
[5.5259463607527115]
[6.64518721067769]
[6.093403748817222]
[5.327309957008655]
[3.3386039841056263]
[2.673726663370593]
[3.925553255951382]
[5.273365803438272]
[6.136779818270867]
[5.258093481725729]
[6.262950437771344]
[2.3742468231929497]
[6.925976287650451]
[2.0185580268231806]
[4.771904351963826]
[3.5648361254247103]
[6.370936096696853]
[3.120399168915087]
[5.911343172586436]
[4.726980297539129]
[4.154703111958146]
[4.087579186625939]
[2.5839689722428654]
[2.3842728483525057]
[6.06903144257926]
[4.132513980443662]
[4.159064845619836]
[3.780509571411737]
[5.41963650941514]
[4.609137830781318]
[6.655026178816197]
[6.435684852095062]
[4.637341779524472]
[2.9377747253247164]
[2.1264011757023846]
[6.697539862297738]
[6.324584036964606]
[2.5617305837537523]
[2.8418790532367133]
[4.895766481586376]
[4.980954498716591]
[4.746927966634152]
[6.525951973503704]
[2.297596529186986]
[3.7568415254421805]
[2.6078056367060665]
[4.440958928589223]
[4.825086185042233]
[5.093862187451393]
[4.665643533468639]
[4.5656058690647985]
[5.660981889059888]
[2.17957504677442]
[5.528733971162152]
[4.737709582077386]
[5.719040375834016]
[4.898179431050039]
[3.505586965368364]
[4.508720016052731]
[5.088288828934915]
[2.035517452719329]
[3.2782462086657365]
[5.572954724115011]
[2.2273535465364738]
[2.9365942004984746]
[5.550903540430908]
[6.6025379849879124]
[3.1605047764480285]
[5.082479535840859]
[6.384210144203876]
[6.944699907717079]
[6.110108173471383]
[4.255191245416659]
[4.412543787200738]
[4.690484021056009]
[4.474423812120145]
[5.080250635113135]
[3.978920218901525]
[5.546367349031003]
[5.5168665937297545]
[5.89672444885717]
[3.5326606734246684]
[2.5829889760805056]
[5.149772400046334]
[2.090445892719275]
[6.164363957243685]
[3.059252004407487]
[5.158543038371347]
[2.2628823831545053]
[2.2669430420951073]
[2.458279236069724]
[4.240420928278016]
[4.040760412890941]
[5.425617721205688]
[3.1595845992767]
[5.9977638645563385]
[6.931216624735988]
[2.83657897164768]
[3.546361692916513]
[5.983472240433011]
[2.623989386681938]
[3.9748914854789277]
[3.096963031002993]
[6.642574974530858]
[2.5563215311509317]
[3.909728458112101]
[4.405843483845288]
[6.60811720239707]
[5.4449030327144]
[6.88518078536903]
[3.347064292766768]
[4.828025509519112]
[4.964094441577442]
[6.447227117010235]
[4.329771601412908]
[6.714493969333332]
[2.713728578060479]
[4.215087212442208]
[2.534405960187083]
[6.094702825223463]
[2.804278008440182]
[2.8660947650969053]
[6.665296750320415]
[4.8592803661331]
[3.799273819409146]
[2.743588512830267]
[4.772691425650761]
[3.9471002640598996]
[3.624220093652429]
[2.788857909504648]
[2.2389906577653345]
[4.1151235081915285]
[2.8588958303705074]
[3.4172007334400782]
[6.338833834307266]
[3.670301803872911]
[4.048339248396678]
[3.9222978521931307]
[3.933964374059302]
[2.6668137516592614]
[2.4000711214684065]
[2.7200133909336754]
[3.8648178685258032]
[4.65295747937647]
[2.3539579176230534]
[6.866131478896022]
[5.967287333809276]
[6.504150897270345]
[3.3695262829900985]
[4.402225584841035]
[4.698717253927758]
[2.3502747245088464]
[4.304909548642248]
[6.8423804573603935]
[3.5195059254190157]
[2.4621211671683496]
[3.8272929282871893]
[2.14627824197585]
[4.647887149554995]
[5.759144837176726]
[4.235983332125686]
[2.02403880590089]
[3.3513357951053417]
[2.1688234870900036]
[2.6016014701079966]
[2.583834793012905]
[2.7708877816637303]
[3.0842379467579826]
[2.263921196822209]
[6.649026950573529]
[3.9388219864841045]
[2.212072426499864]
[6.122004982969171]
[6.985685659271567]
[6.795649342876052]
[6.62777128118503]
[5.007694666762003]
[4.157286773960821]
[2.601342343175321]
[3.045460071125128]
[6.60555300470154]
[6.201266855379059]
[4.33943906772091]
[4.006463296577153]
[3.449874450023718]
[3.411655698700625]
[3.9279087344299506]
[4.392253997411813]
[2.286015902446259]
[2.71294424842266]
[4.953275746044426]
[2.4741958966142894]
[6.882668139221826]
[6.58709159703281]
[4.583586155858793]
[5.285920754485293]
[3.448925428693855]
[4.6082844462644985]
[2.1731227030717353]
[3.7941802445873627]
[4.811859353806348]
[4.113624143472339]
[2.563830137692656]
[5.006952872753983]
[2.149854366869296]
[4.636693169869389]
[5.370215167069244]
[3.478612623534046]
[4.788270338311447]
[5.149712869411847]
[3.504863188891229]
[2.1993001002583297]
[3.9409212913415486]
[3.2606333846148905]
[2.3339963466305482]
[6.510840920851884]
[4.50098990712372]
[3.399603969221688]
[6.132853155386135]
[6.800622177825632]
[4.431279191117378]
[3.94413205243128]
[3.565193716563808]
[3.266157509575563]
[6.4168605073849045]
[5.8877796656940316]
[2.886378041055357]
[5.166484412804477]
[2.8825847001151406]
[5.7643264938295555]
[5.032489092617867]
[2.6136326273140074]
[2.9625461013114913]
[5.311379425337038]
[5.73260391680352]
[4.6452929875168385]
[3.26263939139823]
[2.746102198935017]
[2.5092190672970864]
[3.2746501595296684]
[3.5176628416120304]
[3.7472319268194694]
[6.806964003976193]
[2.7512194084189088]
[6.000911220007992]
[2.245278845406516]
[6.967971862851371]
[6.0434145324746575]
[3.260883045469947]
[6.811149077588361]
[6.406195860804294]
[5.311571221484903]
[2.7111347633604077]
[6.769520830474229]
[5.9983721626578905]
[3.8858126351805744]
[4.306333248295399]
[4.626314473777141]
[2.678179781741358]
[6.063315932899638]
[6.2848647294468]
[4.8897282103689905]
[6.444656823035804]
[5.98183435138877]
[6.9740047181653075]
[3.8023024975088644]
[2.886671980881981]
[5.204088169788182]
[2.4927696421584784]
[4.60631649552449]
[2.0603047435275066]
[5.214476708891623]
[2.3753663356393258]
[5.889110762903492]
[6.3013263231651635]
[3.9879861986747165]
[5.175252616848058]
[2.272399025674383]
[5.294563711928668]
[6.282216650768725]
[4.824994310142868]
[4.208438938120804]
[4.700364480757321]
[4.08071234635003]
[6.985472016561942]
[4.523138122843196]
[2.0461441828405422]
[2.428625646755871]
[5.924901186234136]
[6.0364592562220905]
[5.432189066093975]
[4.799012374318805]
[3.940326438239614]
[5.210996323487461]
[6.793866241236204]
[4.591033432240911]
[2.8353207285375004]
[4.698338858420426]
[4.0146890314025105]
[3.3558238810105383]
[3.241800376894024]
[4.9772104926774325]
[2.7464018105138996]
[4.02586685405089]
[6.015354189019079]
[5.808421826531047]
[4.872844295156375]
[2.2478055837934146]
[2.423618275534915]
[3.475251228050834]
[3.142076692114763]
[4.394596925170475]
[6.202029161456741]
[4.928653069085223]
[6.431290278722013]
[3.2993556616485695]
[2.1018872285275267]
[5.5406989194070935]
[4.396133888201671]
[6.520444423485415]
[5.122960620659437]
[4.846127316786937]
[4.036897596739947]
[6.884649513369278]
[3.295537883195357]
[4.239304288074911]
[6.412780759835416]
[4.017868495684336]
[4.606471642445047]
[4.875929068604121]
[2.07717812800808]
[3.8823977255519155]
[5.945625363853803]
[5.483768954318414]
[3.335324695050554]
[3.1407180122084144]
[4.90362030108433]
[6.68585842699934]
[3.787622308195779]
[6.725676984294588]
[6.7407732000217715]
[4.691562886874243]
[2.667530485554349]
[4.456375131255564]
[3.7712475354638695]
[5.243930705079698]
[6.105959125246408]
[4.212945148669775]
[4.046398485199422]
[5.091234222273971]
[3.380666784363446]
[6.260899007664619]
[6.098831264581217]
[3.3540825811070487]
[2.938163488627576]
[2.101360808459694]
[3.671737687817152]
[3.7711669185031846]
[2.974076911723574]
[2.7272568708774045]
[4.693832577371554]
[2.219438138636491]
[3.6725275720289323]
[2.5705106086696112]
[5.1255002842652075]
[4.762210759386772]
[6.825061248143442]
[5.175003899148038]
[3.0537059756439286]
[3.097809064465292]
[4.668425228310786]
[3.6813918493517277]
[3.174994058420327]
[6.124748395771235]
[6.7337087280112815]
[3.863160124619396]
[3.225573330308847]
[4.062880501726865]
[5.624444592216719]
[6.238479430255642]
[5.263321147955793]
[3.3113269724924663]
[5.440378279356695]
[5.088116041273672]
[2.5829013826860336]
[2.2470721571324894]
[4.314944681840071]
[2.5263664283505314]
[6.857196044622509]
[5.116770544988135]
[3.9284346930014666]
[3.6299435564724902]
[5.987849796457597]
[2.0800367779070355]
[3.602603285684905]
[6.125866323011238]
[6.237965717318792]
[5.750797293417837]
[4.8846503636584915]
[5.200521666520863]
[3.089847063712424]
[4.454021935368875]
[6.3061684393610165]
[2.157744698945656]
[4.035264578229]
[4.317045979886874]
[6.20975516978946]
[2.307246039281795]
[5.281410478443879]
[5.558378138951452]
[3.049710173485993]
[2.451785935374651]
[3.971680516910643]
[5.593375539690324]
[4.776112576151565]
[3.442600563014474]
[3.63858950361421]
[6.871429539259832]
[3.592483402642626]
[2.0764032648569284]
[3.543194897862964]
[4.029752488630532]
[2.930872358592003]
[2.7620467215811315]
[6.3720425427210605]
[3.7284473488609353]
[6.203173549307361]
[5.13095963712208]
[3.620791759864792]
[6.2557253469122704]
[3.4493376664375046]
[4.668769688321202]
[5.324701342562845]
[3.7518602685690263]
[5.8084254692947805]
[3.2946648420467373]
[4.824374780877838]
[5.28292008636087]
[2.896577687775661]
[2.4715304072983066]
[2.8536345552934357]
[5.749531094245253]
[5.329288389173592]
[5.124460439182913]
[3.4302626529815523]
[4.188214204522863]
[5.490059089524966]
[3.2893221857336066]
[5.872978184453246]
[2.577119649402439]
[5.375957979013288]
[5.791618043498877]
[4.733975357495249]
[5.246486095485915]
[4.466935528349119]
[2.56667172789226]
[4.496450723387086]
[4.0054412189563315]
[5.707363904091585]
[4.147495600919639]
[2.1270569164505893]
[2.2870709015558885]
[4.6266592435557765]
[2.5375335979999534]
[4.012940252378125]
[4.540753138197061]
[3.6114798008140485]
[5.265115979380759]
[2.127282255733656]
[3.408360695159601]
[3.436757029645233]
[5.87030340619309]
[2.258935339233834]
[2.6667300575518893]
[3.4778069904296935]
[6.966105990305498]
[2.480163077565337]
[6.5342112247752855]
[6.657589764890779]
[3.05128236748861]
[5.266276590040531]
[2.9565083985800227]
[5.349240307239171]
[4.858827026097052]
[4.607055907427204]
[3.5381425916174694]
[2.3813509692427237]
[5.666680067004538]
[6.04568501069125]
[4.562415199010949]
[5.774696332958988]
[5.517178963640891]
[3.685521826226624]
[6.061931259468413]
[4.331169974760262]
[4.365276113872167]
[3.7538165424773]
[5.622458610418676]
[6.664305427152321]
[3.0582533271463923]
[4.924659855899348]
[5.091056569381152]
[5.202320947078823]
[2.0368862988038865]
[5.281010083284067]
[6.0606198465011385]
[2.3820031497644716]
[5.947543434318103]
[6.905079341802527]
[5.998842460468797]
[3.6459822519023906]
[3.6013715205298733]
[5.855309914223893]
[3.3316842598096343]
[6.263701132205778]
[2.0142097756630175]
[6.000880590978905]
[2.025103164056968]
[3.1758457543145715]
[2.389871653596984]
[6.249951096052197]
[6.909327904727726]
[5.737133729674395]
[4.031123510162704]
[5.260056623749527]
[5.576484406472211]
[3.8012497449596787]
[3.8347772889372944]
[3.351325269583568]
[4.316036234720617]
[3.725049179951841]
[6.644667337372936]
[4.140044707663634]
[6.973494305896016]
[4.1142481523755325]
[5.6213695722366195]
[6.236409761107941]
[4.278217207298468]
[4.306858983977884]
[4.076888068826865]
[5.635701068450166]
[2.458099949685036]
[5.280123007964011]
[6.4784798321536226]
[4.194237178708613]
[6.49060430644897]
[3.9819544345502207]
[5.175052924832764]
[5.0553512457805905]
[5.340235515841989]
[2.992272659250344]
[5.52750528488385]
[5.693855010662931]
[6.58460852279613]
[6.704982734828096]
[3.5966801188631226]
[4.188828023825528]
[2.819153548685887]
[4.366493306508133]
[5.7978087993673455]
[4.317203852349129]
[2.015127279313769]
[3.317478371927543]
[3.709130686753428]
[2.912461749536001]
[3.9290587797943726]
[3.0556065998070348]
[4.928434935027676]
[6.425844155561142]
[6.1406146176630925]
[3.144971728650925]
[5.665340694679077]
[6.128196713040119]
[6.90515989556301]
[4.880335972211108]
[5.404485520014056]
[2.5613156557173]
[2.8750115070786024]
[4.08233774982091]
[3.5813035958627615]
[5.947342138404592]
[6.340509822637809]
[6.3205950347533895]
[4.937286216587593]
[4.074875996768219]
[6.16180581470708]
[4.324983728035601]
[4.015096427036097]
[4.208516161028307]
[5.2111459347821265]
[2.453060747266227]
[6.4602569875306095]
[5.67588893203865]
[2.204673106724205]
[4.050527222726032]
[5.082827659223524]
[4.124066491623454]
[3.696358831632576]
[4.833761604439294]
[4.062668864762843]
[3.814207974507892]
[3.558973715472667]
[6.445499837840483]
[6.061996229966554]
[3.295387940792356]
[5.565561707345521]
[4.517025174698021]
[4.291016986307168]
[2.339628387692436]
[3.645539018831693]
[2.6465403881940492]
[3.40011134766242]
[2.297653764011654]
[4.584356462972408]
[5.534341685936949]
[3.5844335310372464]
[4.179752206395584]
[6.494062040657099]
[6.319175976194278]
[6.6335090284135685]
[3.010138958903506]
[5.702227282844805]
[4.387289024470313]
[2.739799308788207]
[5.063796025970713]
[3.7663799680868717]
[6.772284713206555]
[3.6592841758261487]
[4.988222517551301]
[5.795890346036269]
[2.473225453000314]
[5.87641317887822]
[2.597876941753268]
[4.222566369556449]
[5.976054053396604]
[6.624393796081508]
[2.063101010798146]
[2.071583230351502]
[6.7512318522827615]
[3.2636657252067662]
[6.497233951146258]
[3.2293500064944265]
[6.296305192860235]
[2.7481867752151934]
[3.5937222080691704]
[4.788090404323148]
[4.431485280133364]
[2.240629408901609]
[4.0736505447072275]
[3.6174812311792905]
[2.7713125392097258]
[3.775854443002991]
[5.836990923921383]
[6.785146972825307]
[2.1315668613883174]
[4.705175001241401]
[3.585205651235711]
[6.826565957828985]
[2.5969140074257293]
[6.738300212715362]
[2.3991369013232946]
[5.520762762254442]
[6.448995673985788]
[4.893586165187507]
[2.924229188017568]
[4.455377308468913]
[5.0242340257111735]
[5.710938029737276]
[5.088274049822075]
[5.418327405732251]
[4.799349292016144]
[2.5376078696427804]
[4.628715813372424]
[6.681646728717178]
[2.367501855359751]
[6.506634227895545]
[5.736615520073145]
[4.1285780719757526]
[3.8865696650622104]
[3.64281426422141]
[3.3804799158461334]
[2.44638377645003]
[5.7917851992424705]
[3.67764760118535]
[3.2205511312105877]
[3.556815136120389]
[3.0238881213655215]
[3.0145583806179657]
[6.740955408195181]
[4.476562281372265]
[2.3105149563728213]
[2.8103976100784465]
[5.5943683586675474]
[4.3209112991312795]
[6.933042748459762]
[3.414340458053757]
[3.441419222085201]
[5.942616086423401]
[2.66954227086756]
[6.7264191738725145]
[5.234207828246651]
[2.4068465075328813]
[2.371818931202688]
[6.360547132654365]
[5.948665189171189]
[4.42558884675818]
[5.436671299764113]
[6.052889620127067]
[6.360334161234148]
[2.205445199184979]
[6.571215728435086]
[2.7345459639212955]
[6.80151467658647]
[4.939046075046053]
[2.730250467416713]
[6.282787454578184]
[2.21608247814293]
[6.3472788329573255]
[2.324474650003959]
[2.2155716305051136]
[4.021651442508413]
[2.428390754928987]
[3.617035523327168]
[2.35996103700552]
[6.9625522176197965]
[2.4029046116821706]
[5.385413429591426]
[2.4659598179394853]
[4.360382904888798]
[5.439071090200379]
[6.851243418392792]
[6.579561595366398]
[5.096450412692489]
[5.629367952005138]
[5.3187854865610245]
[4.841664162815505]
[3.4807665030799693]
[5.313025266244541]
[3.6152437131457145]
[3.986300525551873]
[5.402958668973364]
[3.6208542210480648]
[3.410132363956098]
[5.26905838831224]
[5.571172849338646]
[2.30196241781066]
[4.62215984193905]
[2.803059575591134]
[2.0031044873789825]
[5.1380167394538105]
[2.6065290994582506]
[3.5832794793310283]
[3.1879471968380213]
[6.274518285910444]
[4.449756159412029]
[2.3370298328459453]
[2.3795347795628237]
[6.1567540000756384]
[5.673758575716699]
[3.405021308736871]
[5.6844190197028315]
[3.065165197270445]
[6.304492153979199]
[6.7210961465848795]
[2.230564201423892]
[6.295989141622279]
[5.3550576370697165]
[2.7432573251662156]
[5.418892930791264]
[4.592830553061143]
[2.1701003362138302]
[6.294903628677805]
[3.7729019897076013]
[5.877023043081218]
[5.34854693714154]
[3.874060535121166]
[5.261584600204975]
[4.293663615605936]
[5.69502252028189]
[5.36840499829079]
[3.2201260722404856]
[5.764121449419732]
[6.718014454042063]
[2.5457885422525366]
[3.43522672267681]
[4.240206743177021]
[6.767846635996873]
[2.794997298187879]
[4.674371400303865]
[3.4739217237852236]
[4.606940292457345]
[3.143680914577611]
[2.6313627270453956]
[6.8773059922001964]
[3.1524098749362692]
[6.6090193502780705]
[2.344394859897025]
[4.172990397649973]
[4.417270650976534]
[4.609579070424847]
[3.1708622236880255]
[5.001044563036792]
[4.997813535093984]
[3.7365846633691406]
[3.409709840805791]
[4.8672835743326015]
[3.8787474511063773]
[2.628862117012905]
[6.9122503791717484]
[3.384274560481777]
[6.45185703646696]
[6.112800791281546]
[2.4915905773224187]
[6.378749874587838]
[6.385923579841685]
[4.174420286117572]
[4.612572904881715]
[6.616260207906262]
[6.09975070921906]
[3.9809725234722424]
[3.786618473289187]
[3.6868413776435025]
[2.668859166016835]
[2.4270259288578675]
[6.989224799379743]
[2.920034987923856]
[5.917558204130571]
[5.154470232566489]
[5.315853798762021]
[2.641037689206154]
[4.533480842343016]
[2.4293258779736107]
[5.3288460315821355]
[5.085250853474957]
[6.805877688600967]
[4.703473032047768]
[4.70214023645045]
[4.120629135735326]
[5.720713318995996]
[2.704504982172023]
[5.2651146430065925]
[5.969177524542597]
[4.283712613741176]
[5.531741494957238]
[6.374708750640875]
[2.4980875343225377]
[5.840521707931605]
[6.395663726957975]
[2.540945749687503]
[2.4463339400542092]
[6.486368832943848]
[2.1825244447532812]
[4.7536368514395715]
[5.641000841016556]
[3.982907463330042]
[2.3554314298392933]
[3.210568734112825]
[4.898964207274335]
[6.183896436890826]
[5.442270029994463]
[6.983169961673103]
[2.4718385149782574]
[3.2177482459496303]
[6.599623853003995]
[2.6774362020799156]
[4.742949329884533]
[4.730614035916174]
[5.981166180816391]
[2.395449612787249]
[5.461903421849871]
[3.023968337703356]
[3.25426138198675]
[3.164986027530272]
[3.1986001142260676]
[3.4084296072217155]
[6.453133069644448]
[6.712737449336467]
[2.5441021142221496]
[2.635505335897756]
[6.681755383699971]
[4.764959508008147]
[2.818559416456817]
[6.9469135854302095]
[2.3766212062975844]
[3.9820844704360345]
[5.4587014579645246]
[4.869638311680618]
[5.272606068126723]
[6.881010051209539]
[3.7218712484084513]
[4.7072460423521]
[3.3012091169506097]
[3.874331106482121]
[3.840844862908189]
[3.2850887460206124]
[4.851590354783106]
[6.750589487490837]
[2.9821667511710244]
[4.733875438016052]
[4.284469218250322]
[3.792328314100789]
[5.465219775678369]
[3.3980878204756153]
[5.676769135369792]
[4.023631927157205]
[3.845301962181049]
[2.649533384969149]
[3.3674516515212476]
[3.1191109404368667]
[3.239591379904647]
[3.9843674035750003]
[4.505121254598975]
[5.222101925043519]
[2.6671566418317996]
[6.249174431326757]
[3.3266254421167827]
[4.082279030185829]
[2.945367876576661]
[3.046060506103468]
[2.5874609802330486]
[3.127023004692963]
[2.2237499688225535]
[5.407381585582799]
[6.053226619858138]
[4.820593210852122]
[2.0023313238706217]
[2.732705081362029]
[5.515174914325881]
[5.066344159604327]
[2.8214885075693674]
[5.606194267595597]
[6.783223832265455]
[4.005366753182791]
[3.9146638113775283]
[6.408857749552797]
[5.992414018571488]
[4.904889221043138]
[3.340242574766938]
[6.390863285920059]
[5.3673994278028]
[2.573002098490395]
[3.7572544852344447]
[3.2020441577774177]
[6.76632989386169]
[3.668768543468751]
[3.09450877707257]
[2.3214193334481426]
[5.652771182018121]
[3.418746579524153]
[2.1960573927681786]
[2.566111774584457]
[5.725481046947234]
[6.184171115134418]
[3.4562641650796455]
[5.704451109197445]
[5.757413235580955]
[5.5860533952248295]
[4.328271884936447]
[6.299875249619685]
[2.0412877727736016]
[6.076335909760533]
[6.0684798973694125]
[2.3925527241778273]
[6.949394486588932]
[5.766741264598777]
[4.201666641687982]
[2.021552744687456]
[2.4778521685141786]
[4.639085683162403]
[5.126679824112859]
[5.05479340309738]
[5.482224760459842]
[2.486227661406949]
[5.519275011846975]
[3.2713229676478024]
[6.878031724420806]
[6.370395996233539]
[3.4935336902139578]
[6.761444406997943]
[2.7093698346871378]
[6.531870612609819]
[4.914509888322611]
[5.502977298865135]
[2.185585247497881]
[5.260703253348314]
[3.2681821814952947]
[4.5979694346737014]
[3.7324673186617146]
[5.531279078726123]
[2.024032960803037]
[4.4603406851091325]
[2.275778922560131]
[6.453326242746835]
[2.6036322860960546]
[3.6436726190540747]
[2.44539357036164]
[5.419249081402709]
[3.1012815030197185]
[3.1677036754214494]
[6.696090759871231]
[5.4974233070795115]
[3.801704386386257]
[5.828418270620816]
[2.426585085045676]
[2.718734193874858]
[2.7443824325619843]
[3.9260367346645557]
[4.725114595010076]
[3.0878659670935313]
[5.278892956650102]
[4.724933153224201]
[4.570207461259424]
[3.709830226560884]
[3.104791672843573]
[5.061440344460208]
[4.5278494077652285]
[3.8229417288100427]
[3.766488071762983]
[2.6141460543836623]
[3.0086891713687502]
[3.8080945785886646]
[6.624597611146164]
[5.772928450680998]
[6.457783375610765]
[2.7481263321657994]
[6.140960948388611]
[3.658527549737877]
[3.101072983080493]
[6.8184786144564375]
[2.5583879488226073]
[4.312810772219075]
[5.5711470796189815]
[6.512099202240742]
[4.791639330600859]
[2.3305369106942377]
[4.09735483295465]
[4.479541656603572]
[5.9867458516962415]
[6.411775896515971]
[3.4097881529631016]
[2.521976131049789]
[4.784351307301231]
[3.5255779906687374]
[4.526671753874226]
[3.7677130406734483]
[2.777359198342321]
[6.9171146699603225]
[5.720860481853512]
[3.9990947948732924]
[5.270807941934898]
[4.732196869043625]
[3.5710785532519593]
[5.882491472375564]
[3.8128685463870067]
[6.354330800832289]
[4.205716663250259]
[4.729232850952478]
[3.51733972382348]
[4.91508372742496]
[4.82345507082021]
[2.27255504956023]
[6.780683030895271]
[6.315401226505342]
[6.806919029109549]
[4.575112695148965]
[4.806148365752646]
[3.6513273431953794]
[4.959341427891262]
[2.8003333450951473]
[4.312967134060338]
[3.8567162314438796]
[4.858065181727184]
[4.7601333275954785]
[4.841696291042741]
[2.308611146803672]
[2.0663436973521128]
[4.4435289562177935]
[3.3913816651107274]
[4.630448209121443]
[2.5121313330935156]
[2.590505820485498]
[3.3837401542415044]
[5.16013619123516]
[4.571256376566491]
[2.578207696204143]
[2.716065627265123]
[6.172171239753983]
[6.6224314793659085]
[2.747787166541487]
[5.4084410855197556]
[5.115021102633416]
[4.69105966423048]
[5.092150156213343]
[2.797455286317536]
[2.1501799886153865]
[5.4827330512766315]
[5.323502005978623]
[4.736685675488759]
[5.24095868396864]
[4.95042894250335]
[2.883651030076866]
[4.816246291309586]
[6.554986544776072]
[6.617138862844089]
[4.465146977387377]
[6.115332417403406]
[5.537978929439148]
[2.4067437215073157]
[3.0976631895850186]
[3.6566699008235015]
[5.11883341364145]
[2.8809635164948437]
[3.8185906634422544]
[6.3639072931288405]
[5.274665524488188]
[3.539902409624881]
[6.562684543923549]
[2.8395135276780152]
[3.8059227805567266]
[6.150119692662649]
[6.977440042782271]
[4.178476000141103]
[2.64876961050967]
[3.9158291699219845]
[5.765199630151887]
[3.46484063814079]
[2.202186214712536]
[2.889741081695121]
[3.1366139878705086]
[5.8976439225867425]
[4.395266338169906]
[4.44751567293395]
[3.9151089497509477]
[3.1760519770242444]
[2.4408984840787884]
[2.9489133509358982]
[4.7093706310333445]
[4.069783194622788]
[5.718055622246064]
[2.0444383381663807]
[2.6661899595740426]
[6.5536476516699205]
[6.139010836088788]
[4.16009334661367]
[4.7464261124258496]
[2.1313251513360965]
[3.0982957342485307]
[6.9069647512103405]
[2.659623011650675]
[2.590158646813856]
[3.7210836764716966]
[2.0240533995284595]
[5.079929161759753]
[5.584414884004493]
[5.795184597386488]
[2.099733613146208]
[6.72913287908421]
[2.2963280771892567]
[3.200200628770874]
[4.1693832520982275]
[5.621322631462599]
[5.908292711606235]
[3.157783210428207]
[2.0978104361174665]
[2.897237297970581]
[2.366081987306276]
[5.057555606682413]
[3.8168854545168283]
[4.543663725990687]
[6.427263750125613]
[3.013081445976125]
[6.128463393972574]
[6.564214409887055]
[2.3561211424210824]
[2.054065763605124]
[2.2201703752555533]
[4.6259648390287165]
[5.572396183965724]
[6.707858547020932]
[3.6068374139740946]
[4.413415380491868]
[3.254424461066172]
[6.8841735020267585]
[3.0858007163238654]
[4.910615660239374]
[5.471307413278462]
[4.755935089968183]
[4.889620308619387]
[4.8777919496591835]
[6.762834157479879]
[2.525758665658554]
[4.224300259344022]
[3.1736621689700626]
[2.2517651891821466]
[5.413068833434964]
[2.659838709274036]
[3.4337381893927454]
[5.09984168235854]
[2.4214885181283394]
[3.9432984046147443]
[4.828752103853351]
[6.1798226639910405]
[3.156959104993338]
[4.846231937463143]
[4.677215853157539]
[2.7598600959612547]
[5.9455525406454415]
[2.0239321223039664]
[3.0705573997949336]
[6.428607832443418]
[6.944046957828202]
[2.807090296590955]
[4.3539487965220935]
[2.1603399859021315]
[6.325298982476781]
[2.8671199466522457]
[3.5496166106439118]
[6.41797864926923]
[6.125180199904821]
[4.199664230462307]
[5.012046738695602]
[5.295185710715913]
[2.2867385956771544]
[4.276929822046746]
[6.634587086217658]
[4.675752410693288]
[5.582350977028825]
[6.172456618835514]
[5.282131881859282]
[5.6600546385645085]
[6.131811167244354]
[6.877462471979772]
[3.452783951719203]
[5.295022168803726]
[6.715946519635923]
[3.9524563521784093]
[3.3530726318045034]
[2.988715631784189]
[6.431253206528606]
[5.794354137634654]
[2.6612131231883263]
[3.5940168006033977]
[5.806621479302045]
[3.6237417678097943]
[3.8339735428561554]
[5.398623934592217]
[3.840531942868408]
[3.2383688543104427]
[3.2991204155870295]
[5.964349311237336]
[3.583196818081794]
[4.177559865893395]
[3.8144682048369787]
[2.4035209450758757]
[3.831795593884269]
[5.055230273071401]
[3.677946103179415]
[6.059765149975009]
[6.732795168704776]
[3.373075977914611]
[6.775333459118858]
[5.156439186576208]
[2.292689049064256]
[3.527266570029343]
[5.99307951587304]
[6.150601315396911]
[2.167706762704873]
[2.9016963833452083]
[4.4979617895006]
[3.3314331011336122]
[2.115310601998933]
[3.0015726164314347]
[3.4842152899820746]
[4.138781836129094]
[4.627976816479114]
[6.950763744313679]
[6.7757203828055745]
[2.4559785602269923]
[3.804538166500408]
[6.628901241550892]
[3.6698592881776935]
[6.964720626800546]
[2.969844384703009]
[6.730140709910664]
[5.449597292643144]
[5.524205791279201]
[4.591001846913636]
[2.3374488752562326]
[3.5804190968675877]
[5.374354613921741]
[2.763931694008436]
[6.017571409650271]
[3.076208169713668]
[4.575286186122286]
[3.5471586982638414]
[6.739385150404617]
[2.3456475572557745]
[5.313648433256981]
[2.950589818048207]
[3.481496677007052]
[2.494944989149279]
[2.1451112974289264]
[5.7197693420282105]
[3.8487197688570323]
[4.277711344567818]
[5.1365231563896545]
[6.364463722292992]
[2.3915742437327774]
[2.509410150710396]
[3.698123064028636]
[6.636646404229591]
[5.154289697765044]
[5.636567749978509]
[2.232491179149047]
[5.612445979067696]
[4.406296604264327]
[2.3006309039952813]
[5.585672109878012]
[4.188312283377838]
[5.907055776989143]
[2.87252384638062]
[6.357339639137264]
[5.1042771337459065]
[4.502167577690521]
[2.6886507230514916]
[5.987542226382054]
[5.463071628982593]
[4.461860439747866]
[5.518904416982692]
[6.342710536258804]
[5.695185636664584]
[6.589121580427263]
[2.9501780013576884]
[2.0446294130442726]
[4.63771173236438]
[5.909089348656094]
[6.2464015480882225]
[2.244969410124854]
[6.511263065087064]
[6.469610977661605]
[3.571085395218272]
[4.611950594359266]
[4.618672614708327]
[4.398409841397138]
[5.421952044985424]
[6.351975391301633]
[3.2882064828982687]
[5.139186998333764]
[2.928754729961484]
[3.5997117649740176]
[5.420473806766141]
[3.6701466037885293]
[2.4495073658889077]
[6.419709734885084]
[5.460510421528031]
[3.993370505368875]
[5.138977427577641]
[5.4743698266478695]
[3.2728239442656353]
[3.768728796337043]
[4.610877586919484]
[3.671680775503513]
[6.375183298582666]
[3.5660973113099437]
[5.947203398793208]
[5.110673815311902]
[4.716202903866424]
[5.04124553506427]
[6.382936945424479]
[2.8370664493740625]
[5.3243201089613965]
[4.8268334194229565]
[6.473006558672426]
[4.360268309614195]
[4.392420125942362]
[6.047081309481216]
[4.006842364412788]
[3.5852684165952384]
[6.756212304633198]
[6.698303438591084]
[4.744983948278106]
[4.594743768860645]
[5.53217828083263]
[5.202225185737104]
[6.262060416546899]
[4.190497030031623]
[5.3310723226307175]
[2.541464300838444]
[5.697581392782716]
[5.846606924659375]
[3.7414995743736066]
[4.308965007088444]
[6.862159973026285]
[6.9964409214611045]
[6.5470574280670135]
[6.214777721390049]
[6.920055993950835]
[5.702032395201953]
[3.2685489944507737]
[2.6378192461368224]
[5.1361151302061145]
[5.545180043795588]
[2.581492518955369]
[2.7802410141939022]
[2.7237252643637637]
[5.821187365174387]
[6.592479089264855]
[5.5030318807315535]
[5.764384861875009]
[3.4518687425651597]
[6.044961675277191]
[2.9868076544763222]
[5.778544948649838]
[5.680595303159211]
[5.880901616956116]
[6.48984997993846]
[4.1014336400444655]
[2.6708713461330307]
[5.843428535218005]
[3.714205681932418]
[6.36904818289057]
[4.972610799158009]
[4.426836921895745]
[6.880080150882654]
[3.3275971012069405]
[5.24967180553958]
[4.354511117327039]
[4.5427957589303265]
[4.87032737761199]
[5.511357364109191]
[6.043805309903912]
[3.1718590780225]
[4.093890674884329]
[4.039772847009482]
[2.4250075466009413]
[5.0113195777059305]
[3.4716464362158583]
[6.473433553038757]
[3.3736619549440787]
[2.2951875596726863]
[4.191327467749137]
[3.0348405723978593]
[6.647172158187612]
[4.375656371734211]
[5.814627976110664]
[4.493920324948471]
[3.271621243784595]
[2.168465063277706]
[4.954518716233965]
[3.926968768857527]
[4.515680034417583]
[6.446166515438366]
[6.686559070791921]
[6.019832207913132]
[4.989896270977107]
[2.1259341947084085]
[3.204487508988628]
[4.376873718728536]
[4.033997119589633]
[2.986353904732269]
[2.1392072384628493]
[5.613982369658513]
[3.3066753832063838]
[2.6427896139711766]
[4.9023022584198515]
[2.7320851756103783]
[3.4835554630937757]
[5.112326794792484]
[4.252341320782671]
[2.7609606157584183]
[4.975151889907751]
[4.768648241376837]
[5.80982643172327]
[2.6385407706942754]
[6.352525449116087]
[4.728959108886519]
[6.082607937980827]
[4.583186051233417]
[5.316478611992439]
[2.720246954019892]
[3.1588284411178447]
[5.038146967906027]
[3.030570981367024]
[5.401001129432201]
[3.193184415960693]
[4.767385107391221]
[4.8094591057907525]
[2.419832262732708]
[4.643294520526]
[4.625857157170962]
[5.255780774344064]
[2.8067136012133336]
[6.228288133453905]
[6.024235582949301]
[2.9851728097820915]
[6.3678432002202925]
[6.332035955475047]
[4.25716861583634]
[2.485653579303151]
[6.772302201457021]
[5.352189193603505]
[2.689478855833994]
[5.665201206052807]
[5.394626358649374]
[3.905842219018064]
[2.8042728687544445]
[5.0240786490023375]
[6.562673447367006]
[2.2218260172832647]
[5.870786443830551]
[6.45018723989701]
[3.40196293681554]
[3.464612717201637]
[5.253761538070477]
[5.976644546206001]
[5.230721145822775]
[4.685514664720613]
[3.8986363190606026]
[2.6583187936207695]
[3.948436914326759]
[3.1120917253279]
[5.274534827543425]
[5.707841839420972]
[6.991827673550339]
[5.256505565970255]
[6.052033017639144]
[5.422627994341587]
[5.901882304303136]
[6.055211818214231]
[2.856196496875052]
[6.442804710512436]
[6.867466781794024]
[4.31107584347151]
[2.529620805627298]
[4.355894083674065]
[6.921683845249047]
[4.7024211140081595]
[6.295149650782384]
[6.901743103370478]
[5.120132443969514]
[3.9927323688854774]
[3.7058666703016554]
[4.820970087911986]
[5.189697306945204]
[2.9132042294438865]
[4.44217423848052]
[6.420270868282019]
[4.64787955998686]
[4.064898421431958]
[5.295373230627309]
[2.9973200314433095]
[6.350706991730489]
[2.647898543468007]
[4.914467538417388]
[2.2831925727251634]
[2.117421554425018]
[2.7345534466761725]
[4.296109702455399]
[4.105765951596389]
[2.208397923608301]
[3.109226115816298]
[5.219410173104052]
[6.8684305819422455]
[2.5514967773244845]
[3.415133226637147]
[2.769692875751076]
[4.066567378431577]
[3.9948940841889113]
[2.5960438146774107]
[5.141755077699044]
[6.192357005318462]
[4.837375369646859]
[4.210058177972445]
[3.261124984703847]
[6.7777893915786045]
[6.071186861630164]
[3.6555817152724313]
[5.201414471160457]
[6.352570567411248]
[4.067352697314703]
[4.027302490438532]
[3.7203843968688703]
[3.291411637122646]
[3.581063831033123]
[5.224872498150281]
[2.9975227403225047]
[5.631915499658921]
[4.074259937741099]
[3.106046278092181]
[5.449994728524155]
[6.865167413030285]
[4.760418306898078]
[5.993223444305274]
[6.239399923470453]
[5.227993299595234]
[6.65582167120306]
[2.5697858023724707]
[6.2236180919846324]
[3.3246232742570134]
[2.966928708124928]
[2.0920523260806725]
[5.782145374259365]
[6.26570745425015]
[6.204904868223595]
[2.516742154916625]
[5.192010988840339]
[5.6712383103134245]
[2.064312322858072]
[4.358202324412661]
[4.962750608601143]
[3.0042959650048733]
[5.368199354034536]
[6.2684921663353945]
[5.424108297131721]
[5.49160494152978]
[6.899778259729598]
[5.5346624669876565]
[5.029707232088924]
[2.499415911702153]
[5.281296532163166]
[3.359022048937274]
[2.9670350212281296]
[3.355258223858113]
[3.1937802567978877]
[5.565887619456665]
[5.714155556225592]
[6.0346407095463315]
[5.112532197244658]
[2.2069150225540977]
[4.978674235931883]
[6.686082550014337]
[5.413668791484799]
[5.918736451748153]
[4.381633481381433]
[3.8237255232196263]
[3.432825905422302]
[6.507120961326699]
[5.619088933867879]
[2.36745078481815]
[6.693236745837058]
[2.754835764578063]
[5.157055880533225]
[3.0744278637556843]
[5.347347044757204]
[5.575389386246178]
[5.495059517276244]
[3.7699990163720947]
[6.408719147481818]
[6.377586799774659]
[3.24706779837335]
[4.2706638200612]
[5.78871561281999]
[4.510851425445898]
[4.081085413174499]
[5.391876348474421]
[4.830789092616419]
[5.486445951475778]
[4.047854779960465]
[4.047437507386485]
[5.773399323242261]
[6.052927558068134]
[6.157464868074619]
[4.729226800181249]
[6.778378465052872]
[3.4833759887438265]
[4.004625704716746]
[5.559890163223665]
[3.5356092581393295]
[6.9024096500003616]
[3.645167177704629]
[6.31898394652022]
[5.609796555820528]
[4.64330067509933]
[2.870670674585065]
[3.826617294663371]
[5.519765213928275]
[3.9148505447979365]
[3.579345581710103]
[5.231954422171463]
[4.020069927172495]
[4.9433592386423735]
[6.003974477309419]
[6.252068028742812]
[6.401796095857443]
[4.009518725885389]
[2.973792364028193]
[2.01102036658292]
[3.6893860019369704]
[2.7756340129847272]
[5.68205377028907]
[3.726028454295056]
[2.911910421755227]
[4.961772757120382]
[3.159065222168416]
[4.199926827377826]
[6.788961373130338]
[3.311045662262274]
[6.351020384415028]
[5.9813931793406345]
[3.8108003602406124]
[6.7461145314613145]
[3.6234437949654126]
[5.16606295395296]
[2.7951720545220544]
[2.7279902681910473]
[4.020536737723905]
[5.768648794192521]
[5.797749169394679]
[4.211690572280667]
[6.949197542074005]
[6.275877364844826]
[4.266087427836276]
[2.7614053231224522]
[3.8445765087977555]
[3.4828215386797488]
[6.257891977008044]
[5.041610087009406]
[5.700847726057986]
[3.936153791567225]
[2.0957408875370156]
[2.3092203336188493]
[5.759497529011523]
[2.0977941527350974]
[6.020649847801785]
[4.3971231070865615]
[4.208279517071638]
[2.300512649704933]
[2.7517219670553836]
[3.4854418915741565]
[5.830827955014051]
[2.743430426161025]
[5.484812328017416]
[3.2875813334037716]
[2.1287393028701733]
[2.9243618013483768]
[5.70464779366904]
[2.7120741349741904]
[2.5457190179392803]
[5.8996387109073085]
[2.281749141801184]
[4.598592799373115]
[6.290776187655572]
[5.521987566231508]
[4.069007256956493]
[6.202368432049175]
[2.7560043901306486]
[4.405385250875556]
[3.2844950470445324]
[3.457673346483435]
[6.304105318328233]
[5.072129761774666]
[3.127281785919483]
[6.035494443029737]
[5.1272643040370705]
[2.447161024593527]
[6.441189700750873]
[6.247135565687641]
[3.46802765370897]
[4.658079960074821]
[5.013916890324403]
[3.2640289021992905]
[4.689881859476106]
[2.517228781456172]
[5.884989593524546]
[6.3007015178387995]
[4.720477579833478]
[2.2940533981137836]
[6.485215747267352]
[2.3217980729795187]
[2.6761562327467767]
[3.730031380859267]
[4.498142587345011]
[2.2422120191631816]
[5.692880599596458]
[6.696687204807039]
[5.284064508702212]
[2.45830176575121]
[2.9063393085175973]
[2.794501640060967]
[3.2840481383158284]
[6.712931742088646]
[5.253936436234331]
[4.983335332943407]
[2.4274557422836383]
[6.838531325931618]
[6.950761655565193]
[5.113938139777799]
[4.518663009486817]
[2.8294487359402165]
[3.93095457650407]
[4.083107987124828]
[3.1914667625098914]
[2.8173909675801827]
[6.472284024144988]
[5.893857517126238]
[6.686046920950535]
[3.8846509916440004]
[2.442666381446376]
[4.590349540627734]
[5.371814895365723]
[6.218783969471655]
[2.7146846257559547]
[3.359249804220531]
[3.0928343468930715]
[5.0536308127853635]
[6.356800769303415]
[2.4056683073742624]
[6.990134875101861]
[6.135093599885694]
[6.392547009081159]
[3.3513914929962576]
[3.7219779833142654]
[4.8481425472162565]
[4.691467498645755]
[2.4724453987982047]
[4.2444315196006785]
[5.7850630248306025]
[6.344290994067406]
[3.1955470205202823]
[3.450214596372615]
[3.8333646896781004]
[6.3281811587711445]
[6.940419661770068]
[5.166496731664311]
[4.091125056975666]
[4.171621508343497]
[2.538589916276186]
[2.702977401694892]
[5.029838017819122]
[3.7493221750756174]
[3.687925173736944]
[5.073754173626159]
[3.242244580595806]
[5.3193731425298]
[4.349783497950234]
[5.948372101565653]
[2.09260523317715]
[6.62028613344238]
[5.5800256301593425]
[3.707071945053682]
[4.006390598397292]
[6.6863082872543895]
[4.254443286942096]
[4.478701807695948]
[5.7019096206432405]
[5.593249471302262]
[3.084500422987527]
[6.419063735422646]
[5.308179845781657]
[5.395702876770398]
[2.1749760263077844]
[6.211793270960188]
[6.818238200675243]
[2.8961858408242462]
[2.2069465405993585]
[5.817392528182477]
[2.1893112800444103]
[4.622180143795006]
[2.2098676993781305]
[4.5942793793602545]
[5.5502928601906]
[6.799471148230008]
[3.877930931602076]
[4.983079167963435]
[3.2453952805000688]
[6.329294407107124]
[6.6462027726127495]
[6.210323629101163]
[4.4264552686371985]
[5.254858131408433]
[2.734940609400131]
[3.7909798713989544]
[3.8905455829060456]
[6.530312910562488]
[2.1537191109210045]
[5.032574758567375]
[3.4587434331952687]
[6.095100877420133]
[3.0959916798621365]
[6.562068655030767]
[3.2329510512230164]
[5.667339770971839]
[6.102602304809289]
[3.3455515637296434]
[4.885143332468517]
[6.057119181518158]
[3.404513083172309]
[4.785505085229696]
[5.67457490931872]
[5.562768714551112]
[4.164837944543058]
[5.022149867324471]
[5.945309358403721]
[5.491598158964155]
[3.8387928577867725]
[6.985238819117191]
[5.812115757518062]
[4.497769610128723]
[2.1083827985602106]
[2.415269904158607]
[5.728124662348531]
[2.7232806167169645]
[3.298627768776389]
[2.0511240703191627]
[6.6187081002150645]
[2.2023622618188354]
[6.839244172621087]
[6.629656577434007]
[6.827886585963171]
[3.515725106424217]
[6.414122029168659]
[2.415215821507506]
[5.967332637211945]
[4.624621651603486]
[5.707338836996843]
[5.288076585966828]
[4.150947521402184]
[6.121650848403765]
[5.1043398997896166]
[5.193837733039596]
[6.778911245428019]
[2.118277641824227]
[5.799068113294462]
[6.054983873982402]
[2.4577657072361427]
[6.455406963822627]
[2.8584564866104625]
[4.190893496246338]
[2.6930619072399624]
[6.19801310712909]
[3.129646934745428]
[6.64183467535388]
[6.66974634895211]
[6.889282886409686]
[2.9387540231204463]
[5.0350612461072775]
[5.45152602699934]
[5.7050621120080045]
[4.436093990887531]
[6.452440366302629]
[4.221448354034025]
[6.293001390021706]
[5.123379359647224]
[6.442289883895743]
[2.4236543242080426]
[5.162230396415639]
[5.292615724219276]
[2.9927193936644456]
[2.3584278255130964]
[5.561463241047891]
[4.915353180843423]
[5.167456839410905]
[6.152179665037787]
[2.447493784204165]
[4.7306861452846]
[6.021566647819369]
[3.9606565000670466]
[3.292579612336164]
[2.7621316708648953]
[2.7436198761456763]
[2.9111090073158183]
[6.535564660251616]
[4.337113732640814]
[6.327375081218457]
[2.529204739235914]
[3.445592779822427]
[2.323845811533176]
[5.7623159270541375]
[6.3802485067978765]
[3.0527921941667358]
[4.960910465653062]
[4.015988112683752]
[6.993709568468207]
[4.838984028305061]
[3.4548631958583136]
[6.622068167743877]
[3.6993686408237063]
[6.787992017121891]
[5.6482375172329355]
[4.745526526901025]
[6.004086991329574]
[3.980230073759663]
[3.7768499621372764]
[2.8758967976152214]
[5.627251681123367]
[6.091836625794155]
[4.1210094541659785]
[6.086983367670608]
[4.248505287823031]
[4.400406046214243]
[4.3955739970671965]
[6.182225604838571]
[6.226929219854651]
[4.473730134264267]
[5.15023829052387]
[2.490400650602347]
[5.151352020372654]
[5.08817695129279]
[5.374222163086149]
[3.2995948447506493]
[3.684547660724146]
[2.180964340761776]
[6.3685896243897195]
[2.464716520604232]
[6.740254541405065]