SpaceLenore /
matmod-python-exercises
| Total Complexity | 6 |
| Total Lines | 39 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | #!/usr/bin/env python3 |
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| 2 | """ |
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| 3 | Matmod exercise 02 |
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| 4 | |||
| 5 | ported to python by https://github.com/SpaceLenore |
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| 6 | """ |
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| 7 | |||
| 8 | import math |
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| 9 | |||
| 10 | def truncate(f, n): |
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| 11 | return math.floor(f * 10 ** n) / 10 ** n |
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| 12 | |||
| 13 | def factorial(n): |
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| 14 | """ Calculate the factorial of the integer n """ |
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| 15 | val = 1 |
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| 16 | for value in range(1, n + 1): |
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| 17 | val = val * value |
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| 18 | return val |
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| 19 | |||
| 20 | def bin(trials, population, probability): |
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| 21 | """ Calculate the probability binomial distribution Pr(X = x) """ |
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| 22 | # x = trials |
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| 23 | # n = population |
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| 24 | # p = probability |
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| 25 | bern = ((1 - probability)**(population-trials))*probability**trials |
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| 26 | bincof = factorial(population) / (factorial(trials) * factorial(population - trials)) |
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| 27 | binpro = bern * bincof |
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| 28 | return round(binpro, 3) |
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| 29 | |||
| 30 | def cumulative_bin(trials, population, probability): |
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| 31 | """ Calculate the probability binomial distribution Pr(X <= x) """ |
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| 32 | # x = trials |
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| 33 | # n = population |
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| 34 | # p = probability |
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| 35 | sumtotal = 0; |
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| 36 | for xval in range(trials + 1): |
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| 37 | sumtotal += bin(xval, population, probability) |
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| 38 | return round(sumtotal, 3) |
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| 39 |
