stoppur-zwischenzeiten

Start

Stopp

Zwischenzeit

Stoppuhr

NQplot

<-mittel

D = (1.118904739389291, -2.022502032950708)
klassenbreite = 0.044 (slider from 0.001 to 0.1, step 0.001)
Listezwischenzeiten: {0.848, 1.827, 2.722, 3.658, 4.557, 5.351, 6.218, 7.118, 8.048, 9.036, 9.932, 10.827, 11.666, 12.512, 13.407, 14.257, 15.202, 16.164, 16.955, 17.849, 18.65, 19.45, 20.333, 21.181, 22.017, 22.912, 23.76, 24.422, 25.484, 26.29, 27.096, 27.992, 28.839, 29.639, 30.444, 31.296, 32.239, 33.041, 33.935, 34.83, 35.741, 36.62, 37.647, 38.636, 39.579, 40.371, 41.221, 42.093, 42.988, 43.884, 44.777, 45.578, 46.425, 47.328, 48.199, 49.001, 49.943, 50.932, 51.818, 52.712, 53.608, 54.457, 55.35, 56.274, 57.217, 58.125, 58.926, 59.822, 60.622, 61.563, 62.543, 63.438, 64.285, 65.227, 66.075, 66.913, 67.761, 68.657, 69.458, 70.354, 71.107, 71.956, 72.798, 73.6, 74.494, 75.342, 76.191, 77.009, 77.855, 78.655, 79.442, 80.242, 81.043, 81.928, 82.728, 83.576, 84.423, 85.224, 86.024, 86.813, 87.566, 88.414, 89.12, 89.92, 90.674, 91.523, 92.277, 93.093, 93.786, 94.594, 95.303, 96.101, 96.939, 97.74, 98.446, 99.199, 100, 100.744, 101.498, 102.241, 103.09, 103.985, 104.783, 105.709, 106.525, 107.379, 108.18, 109.121, 109.968, 110.816, 111.662, 112.547, 113.395, 114.243, 115.138, 115.954, 116.839, 117.687, 118.582, 119.429, 120.276, 121.266, 121.993, 122.841, 123.642, 124.489, 125.384, 126.279, 127.117, 127.886, 128.781, 129.581, 130.429, 131.275, 132.066, 132.866, 133.656, 134.503, 135.304, 136.199, 137.036, 137.789, 138.543, 139.295, 140.143, 140.975, 141.776, 142.614, 143.461, 144.449, 145.282, 146.176, 147.061, 147.908, 148.724, 149.54, 150.34, 151.314, 152.01, 152.81, 153.705, 154.506, 155.259, 156.107, 156.86, 157.635, 158.436, 159.283, 160.036, 160.821, 161.746, 162.693, 163.447, 164.294, 165.189, 165.99, 166.839, 167.566, 168.429, 169.37, 170.313, 171.177, 171.967, 172.815, 173.663, 174.417, 175.455, 176.381, 177.217, 178.053, 179.061, 179.893, 180.698, 181.513, 182.368, 183.294, 184.156, 185.004, 185.758, 186.607, 187.542, 188.368, 189.285, 190.061, 190.91, 191.789, 192.674, 193.522, 194.388, 195.299, 196.304, 197.252, 198.147, 198.995, 199.904, 200.779, 201.697, 202.504, 203.321, 204.157, 205.038, 205.791, 206.64, 207.519, 208.226, 209.12, 210.017, 210.964, 211.961, 212.637, 213.485, 214.284, 215.085, 215.855, 216.627, 217.408, 218.258, 219.106, 219.861, 220.78, 221.522, 222.323, 223.172, 223.96, 224.73, 225.629, 226.355, 227.151, 228.097, 228.884, 229.784, 230.577, 231.526, 232.398, 233.199, 234.111, 234.898, 235.622, 236.508, 237.253, 238.101, 238.854, 239.686, 240.629, 241.431, 242.237, 243.053, 243.854, 244.719, 245.489, 246.258, 247.06, 247.916, 248.82, 249.628, 250.535, 251.474, 252.34, 253.1, 253.93}
Listewartezeiten = If(Length[Listezwischenzeiten] ≥ 2, Sequence[Listezwischenzeiten(i + 1) - Listezwischenzeiten(i), i, 1, Length[Listezwischenzeiten] - 1], {})
Lt: (Listezwischenzeiten * 1000)
Zeit_0: {245, 45, 46, 22, 10, 2, 2022, "Februar", "Donnerstag", 5}
t = 76 (slider from 0 to 100, step 1)
Zeit_t: {908, 0, 51, 22, 10, 2, 2022, "Februar", "Donnerstag", 5}
ms_0: Element[Zeit_0, 1] + (Element[Zeit_0, 2] * 1000) + (Element[Zeit_0, 3] * 60000) + ((Element[Zeit_0, 4] * 3600) * 1000)
ms_t: Element[Zeit_t, 1] + (Element[Zeit_t, 2] * 1000) + (Element[Zeit_t, 3] * 60000) + ((Element[Zeit_t, 4] * 3600) * 1000)
msΔ: ms_t - ms_0
Stunden = Div(msΔ, 3600000)
Minuten = Div(Mod[msΔ, 3600000], 60000)
Sekunden = Div(Mod[Mod[msΔ, 3600000], 60000], 1000)
Millisekunden = Mod(Mod[Mod[msΔ, 3600000], 60000], 1000)
msms = Last("00" + Millisekunden, 3)
mm = Last("00" + Minuten, 2)
ss = Last("00" + Sekunden, 2)
hh = Last("00" + Stunden, 2)
Liste1: {hh, mm, ss, msms}
Liste2: {"Stunden", "Minuten", "Sekunden", "Millisekunden"}
Zähler = 301
Liste2b = Join({{"Zwischenzeiten"}, Liste2})
j = 1 (slider from -5 to 5, step 1)
Stoppuhr: true
Uhr: "{" + (LaTeX[TableText[{Liste2, Liste1}, "_|c"]]) + "}"
Lms = Sequence(Mod[Mod[Mod[Lt(i), 86400000], 60000], 1000], i, 1, Length[Lt])
Lmin = Sequence(Div[Mod[Lt(i), 86400000], 60000], i, 1, Length[Lt])
Ls = Sequence(Div[Mod[Mod[Lt(i), 86400000], 60000], 1000], i, 1, Length[Lt])
Lh = Sequence(Div[Lt(i), 86400000], i, 1, Length[Lt])
Tabzz = Sequence({i, Lh(i), Lmin(i), Ls(i), Lms(i)}, i, Max[Zähler - 5, 1], Zähler - 1)
l1 = Append(Liste2b, Tabzz)
ZZ = Sequence(If[i ≟ 0, Liste2b, Tabzz(i)], i, 0, Length[Tabzz])
Zwischenzeiten = TableText(ZZ, "_|c")
leereListe = Sequence("", i, 1, 300)
klas = Classes(Listewartezeiten, 0, klassenbreite)
Wartezeitenverteilung = Histogram(klas, Listewartezeiten, true, 1 / Length[Listewartezeiten])
μ = mean(Listewartezeiten)
λ: 1 / μ
f(x) = If[x > 0, (λ * exp((-((λ * x)))))]
eqplot = Sequence(CountIf[x ≥ Listewartezeiten(i), Listewartezeiten], i, 1, Length[Listewartezeiten])
eqplot2: eqplot / Length[Listewartezeiten]
eqplot3: (Listewartezeiten, ln(eqplot2))
eq(x) = If[0 ≤ x < Max[Listewartezeiten], (-((λ * x)))]
a = false
A = Point(xAxis)
B = Point(yAxis)
l2: ((x(A) * Listezwischenzeiten / Max[Listezwischenzeiten]), y(B))
Start: (0, y(D))
Zeitpunkte = Segment((x(Start), y(D)), (x(D), y(D)))
l3: (x(Start) + ((x(D) - x(Start)) * Listezwischenzeiten / Max[Listezwischenzeiten]), y(D))
Text3 = LaTeX(μ, true, true)
Text4 = LaTeX(λ, true, true)
sechstel: Max[Listezwischenzeiten] / 6
b = Percentile(Listezwischenzeiten, 1 / 6)
h1 = CountIf(x < sechstel, Listezwischenzeiten)
wuerfeln = Sequence(CountIf[((i - 1) * sechstel) < x ≤ (i * sechstel), Listezwischenzeiten], i, 1, 6)
radeln = Sequence((i, Element[Listezwischenzeiten, i]), i, 1, Zähler)
delta: x(D) - x(Start)
radeln1 = Sequence((x(Start) + i / delta, (1 / y(D) * Element[Listezwischenzeiten, i])), i, 1, Zähler)
Text2: "" + (Zähler - 1) + ""
σ = stdev(Listewartezeiten)
Text5 = LaTeX(σ, true, true)
Text6: "Häufigkeiten: " + wuerfeln + ""
l4 = NormalQuantilePlot(Listewartezeiten)
g = Normal(μ, σ, x, false)
A1: 0.848
A2: 1.827
B1: 0.846
B2: 0.979
A3: 2.722
B3: 0.895
A4: 3.658
B4: 0.936
A5: 4.557
B5: 0.899
A6: 5.351
B6: 0.794
A7: 6.218
B7: 0.867
A8: 7.118
B8: 0.9
A9: 8.048
B9: 0.93
A10: 9.036
B10: 0.988
A11: 9.932
B11: 0.896
A12: 10.827
B12: 0.895
A13: 11.666
B13: 0.839
A14: 12.512
B14: 0.846
A15: 13.407
B15: 0.895
A16: 14.257
B16: 0.85
A17: 15.202
B17: 0.945
A18: 16.164
B18: 0.962
A19: 16.955
B19: 0.791
A20: 17.849
B20: 0.894
A21: 18.65
B21: 0.801
A22: 19.45
B22: 0.8
A23: 20.333
B23: 0.883
A24: 21.181
B24: 0.848
A25: 22.017
B25: 0.836
A26: 22.912
B26: 0.895
A27: 23.76
B27: 0.848
A28: 24.422
B28: 0.662
A29: 25.484
B29: 1.062
A30: 26.29
B30: 0.806
A31: 27.096
B31: 0.806
A32: 27.992
B32: 0.896
A33: 28.839
B33: 0.847
A34: 29.639
B34: 0.8
A35: 30.444
B35: 0.805
A36: 31.296
B36: 0.852
A37: 32.239
B37: 0.943
A38: 33.041
B38: 0.802
A39: 33.935
B39: 0.894
A40: 34.83
B40: 0.895
A41: 35.741
B41: 0.911
A42: 36.62
B42: 0.879
A43: 37.647
B43: 1.027
A44: 38.636
B44: 0.989
A45: 39.579
B45: 0.943
A46: 40.371
B46: 0.792
A47: 41.221
B47: 0.85
A48: 42.093
B48: 0.872
A49: 42.988
B49: 0.895
A50: 43.884
B50: 0.896
A51: 44.777
B51: 0.893
A52: 45.578
B52: 0.801
A53: 46.425
B53: 0.847
A54: 47.328
B54: 0.903
A55: 48.199
B55: 0.871
A56: 49.001
B56: 0.802
A57: 49.943
B57: 0.942
A58: 50.932
B58: 0.989
A59: 51.818
B59: 0.886
A60: 52.712
B60: 0.894
A61: 53.608
B61: 0.896
A62: 54.457
B62: 0.849
A63: 55.35
B63: 0.893
A64: 56.274
B64: 0.924
A65: 57.217
B65: 0.943
A66: 58.125
B66: 0.908
A67: 58.926
B67: 0.801
A68: 59.822
B68: 0.896
A69: 60.622
B69: 0.8
A70: 61.563
B70: 0.941
A71: 62.543
B71: 0.98
A72: 63.438
B72: 0.895
A73: 64.285
B73: 0.847
A74: 65.227
B74: 0.942
A75: 66.075
B75: 0.848
A76: 66.913
B76: 0.838
A77: 67.761
B77: 0.848
A78: 68.657
B78: 0.896
A79: 69.458
B79: 0.801
A80: 70.354
B80: 0.896
A81: 71.107
B81: 0.753
A82: 71.956
B82: 0.849
A83: 72.798
B83: 0.842
A84: 73.6
B84: 0.802
A85: 74.494
B85: 0.894
A86: 75.342
B86: 0.848
A87: 76.191
B87: 0.849
A88: 77.009
B88: 0.818
A89: 77.855
B89: 0.846
A90: 78.655
B90: 0.8
A91: 79.442
B91: 0.787
A92: 80.242
B92: 0.8
A93: 81.043
B93: 0.801
A94: 81.928
B94: 0.885
A95: 82.728
B95: 0.8
A96: 83.576
B96: 0.848
A97: 84.423
B97: 0.847
A98: 85.224
B98: 0.801
A99: 86.024
B99: 0.8
A100: 86.813
B100: 0.789
A101: 87.566
B101: 0.753
A102: 88.414
B102: 0.848
A103: 89.12
B103: 0.706
A104: 89.92
B104: 0.8
A105: 90.674
B105: 0.754
A106: 91.523
B106: 0.849
A107: 92.277
B107: 0.754
A108: 93.093
B108: 0.816
A109: 93.786
B109: 0.693
A110: 94.594
B110: 0.808
A111: 95.303
B111: 0.709
A112: 96.101
B112: 0.798
A113: 96.939
B113: 0.838
A114: 97.74
B114: 0.801
A115: 98.446
B115: 0.706
A116: 99.199
B116: 0.753
A117: 100
B117: 0.801
A118: 100.744
B118: 0.744
A119: 101.498
B119: 0.754
A120: 102.241
B120: 0.743
A121: 103.09
B121: 0.849
A122: 103.985
B122: 0.895
A123: 104.783
B123: 0.798
A124: 105.709
B124: 0.926
A125: 106.525
B125: 0.816
A126: 107.379
B126: 0.854
A127: 108.18
B127: 0.801
A128: 109.121
B128: 0.941
A129: 109.968
B129: 0.847
A130: 110.816
B130: 0.848
A131: 111.662
B131: 0.846
A132: 112.547
B132: 0.885
A133: 113.395
B133: 0.848
A134: 114.243
B134: 0.848
A135: 115.138
B135: 0.895
A136: 115.954
B136: 0.816
A137: 116.839
B137: 0.885
A138: 117.687
B138: 0.848
A139: 118.582
B139: 0.895
A140: 119.429
B140: 0.847
A141: 120.276
B141: 0.847
A142: 121.266
B142: 0.99
A143: 121.993
B143: 0.727
A144: 122.841
B144: 0.848
A145: 123.642
B145: 0.801
A146: 124.489
B146: 0.847
A147: 125.384
B147: 0.895
A148: 126.279
B148: 0.895
A149: 127.117
B149: 0.838
A150: 127.886
B150: 0.769
A151: 128.781
B151: 0.895
A152: 129.581
B152: 0.8
A153: 130.429
B153: 0.848
A154: 131.275
B154: 0.846
A155: 132.066
B155: 0.791
A156: 132.866
B156: 0.8
A157: 133.656
B157: 0.79
A158: 134.503
B158: 0.847
A159: 135.304
B159: 0.801
A160: 136.199
B160: 0.895
A161: 137.036
B161: 0.837
A162: 137.789
B162: 0.753
A163: 138.543
B163: 0.754
A164: 139.295
B164: 0.752
A165: 140.143
B165: 0.848
A166: 140.975
B166: 0.832
A167: 141.776
B167: 0.801
A168: 142.614
B168: 0.838
A169: 143.461
B169: 0.847
A170: 144.449
B170: 0.988
A171: 145.282
B171: 0.833
A172: 146.176
B172: 0.894
A173: 147.061
B173: 0.885
A174: 147.908
B174: 0.847
A175: 148.724
B175: 0.816
A176: 149.54
B176: 0.816
A177: 150.34
B177: 0.8
A178: 151.314
B178: 0.974
A179: 152.01
B179: 0.696
A180: 152.81
B180: 0.8
A181: 153.705
B181: 0.895
A182: 154.506
B182: 0.801
A183: 155.259
B183: 0.753
A184: 156.107
B184: 0.848
A185: 156.86
B185: 0.753
A186: 157.635
B186: 0.775
A187: 158.436
B187: 0.801
A188: 159.283
B188: 0.847
A189: 160.036
B189: 0.753
A190: 160.821
B190: 0.785
A191: 161.746
B191: 0.925
A192: 162.693
B192: 0.947
A193: 163.447
B193: 0.754
A194: 164.294
B194: 0.847
A195: 165.189
B195: 0.895
A196: 165.99
B196: 0.801
A197: 166.839
B197: 0.849
A198: 167.566
B198: 0.727
A199: 168.429
B199: 0.863
A200: 169.37
B200: 0.941
A201: 170.313
B201: 0.943
A202: 171.177
B202: 0.864
A203: 171.967
B203: 0.79
A204: 172.815
B204: 0.848
A205: 173.663
B205: 0.848
A206: 174.417
B206: 0.754
A207: 175.455
B207: 1.038
A208: 176.381
B208: 0.926
A209: 177.217
B209: 0.836
A210: 178.053
B210: 0.836
A211: 179.061
B211: 1.008
A212: 179.893
B212: 0.832
A213: 180.698
B213: 0.805
A214: 181.513
B214: 0.815
A215: 182.368
B215: 0.855
A216: 183.294
B216: 0.926
A217: 184.156
B217: 0.862
A218: 185.004
B218: 0.848
A219: 185.758
B219: 0.754
A220: 186.607
B220: 0.849
A221: 187.542
B221: 0.935
A222: 188.368
B222: 0.826
A223: 189.285
B223: 0.917
A224: 190.061
B224: 0.776
A225: 190.91
B225: 0.849
A226: 191.789
B226: 0.879
A227: 192.674
B227: 0.885
A228: 193.522
B228: 0.848
A229: 194.388
B229: 0.866
A230: 195.299
B230: 0.911
A231: 196.304
B231: 1.005
A232: 197.252
B232: 0.948
A233: 198.147
B233: 0.895
A234: 198.995
B234: 0.848
A235: 199.904
B235: 0.909
A236: 200.779
B236: 0.875
A237: 201.697
B237: 0.918
A238: 202.504
B238: 0.807
A239: 203.321
B239: 0.817
A240: 204.157
B240: 0.836
A241: 205.038
B241: 0.881
A242: 205.791
B242: 0.753
A243: 206.64
B243: 0.849
A244: 207.519
B244: 0.879
A245: 208.226
B245: 0.707
A246: 209.12
B246: 0.894
A247: 210.017
B247: 0.897
A248: 210.964
B248: 0.947
A249: 211.961
B249: 0.997
A250: 212.637
B250: 0.676
A251: 213.485
B251: 0.848
A252: 214.284
B252: 0.799
A253: 215.085
B253: 0.801
A254: 215.855
B254: 0.77
A255: 216.627
B255: 0.772
A256: 217.408
B256: 0.781
A257: 218.258
B257: 0.85
A258: 219.106
B258: 0.848
A259: 219.861
B259: 0.755
A260: 220.78
B260: 0.919
A261: 221.522
B261: 0.742
A262: 222.323
B262: 0.801
A263: 223.172
B263: 0.849
A264: 223.96
B264: 0.788
A265: 224.73
B265: 0.77
A266: 225.629
B266: 0.899
A267: 226.355
B267: 0.726
A268: 227.151
B268: 0.796
A269: 228.097
B269: 0.946
A270: 228.884
B270: 0.787
A271: 229.784
B271: 0.9
A272: 230.577
B272: 0.793
A273: 231.526
B273: 0.949
A274: 232.398
B274: 0.872
A275: 233.199
B275: 0.801
A276: 234.111
B276: 0.912
A277: 234.898
B277: 0.787
A278: 235.622
B278: 0.724
A279: 236.508
B279: 0.886
A280: 237.253
B280: 0.745
A281: 238.101
B281: 0.848
A282: 238.854
B282: 0.753
A283: 239.686
B283: 0.832
A284: 240.629
B284: 0.943
A285: 241.431
B285: 0.802
A286: 242.237
B286: 0.806
A287: 243.053
B287: 0.816
A288: 243.854
B288: 0.801
A289: 244.719
B289: 0.865
A290: 245.489
B290: 0.77
A291: 246.258
B291: 0.769
A292: 247.06
B292: 0.802
A293: 247.916
B293: 0.856
A294: 248.82
B294: 0.904
A295: 249.628
B295: 0.808
A296: 250.535
B296: 0.907
A297: 251.474
B297: 0.939
A298: 252.34
B298: 0.866
A299: 253.1
B299: 0.76
A300: 253.93
B300: 0.83
c = BoxPlot(-1, 0.2, Listewartezeiten, true)