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"""For more information about the Binomial Distribution - | ||
https://en.wikipedia.org/wiki/Binomial_distribution""" | ||
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def binomial_distribution(k, n, p) -> float: | ||
""" | ||
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Returns probability of k successes out of n tries, | ||
with p probability for one success | ||
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use: binomial_distribution(k, n, p): | ||
k - successes | ||
n - independent Bernoulli trials | ||
p - probability for one succes | ||
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The function uses the factorial function | ||
in order to calculate the binomial coefficient | ||
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>>> binomial_distribution(3, 5, 0.7) | ||
0.30870000000000003 | ||
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>>> binomial_distribution (2, 4, 0.5) | ||
0.375 | ||
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>>> binomial_distribution (2, 4, -0.5) | ||
Traceback (most recent call last): | ||
... | ||
raise ValueError("p - Probability has to be in range of 1 - 0") | ||
ValueError: p - Probability has to be in range of 1 - 0 | ||
""" | ||
if k > n: | ||
raise ValueError("""k must be lower or equal to n""") | ||
if n < 0 or k < 0 or type(k) != int or type(n) != int: | ||
raise ValueError("the function is defined for non-negative integers k and n") | ||
if p > 1 or p < 0: | ||
raise ValueError("p - Probability has to be in range of 1 - 0") | ||
probability = (p**k)*(1-p)**(n-k) | ||
# Calculate the binomial coefficient: | ||
# Calculate n! / k!(n-k)! | ||
coefficient = factorial(n)/(factorial(k)*factorial(n-k)) | ||
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return probability * coefficient | ||
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# Implementation of the factorial function, | ||
# used to calculate the binomial coefficient: | ||
def factorial(n) -> int: | ||
""" | ||
Factorial - The product of all positive integers less than or equal to n | ||
""" | ||
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if type(n) != int: | ||
raise ValueError("factorial(n) accepts only integer values") | ||
if n < 0: | ||
raise ValueError("factorial(n) works only for non-negative numbers") | ||
if n == 0: | ||
return 1 | ||
result = 1 | ||
for i in range(1, n+1): | ||
result *= i | ||
return result | ||
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if __name__ == "__main__": | ||
print ("Probability of 2 successes out of 4 trails") | ||
print ("with probability of 0.75 is : ") | ||
print (str(binomial_distribution(2, 4, 0.75))) |
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