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Binomial probability 2/2
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Look at the code example of the binomial probability
12345# Import relevant library from scipy.stats import binom # Here, we simulate an experiment of tossing 5 coins three times experiment = binom.rvs(p = 0.5, size = 5, n = 3) print(experiment)
Explanation of the code above:
- We need to import
binom objectfromscipy.stats. binom.rvs(p = 0.5, size = 5, n = 3)means that the probability of getting head is 50 %,p = 0.5; the size of sample in experiment is 5,size = 5; the number of trial is 3,n = 3.- In the output we can see an array with five results for each coin with the number of successful trials for each coin.
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Your task here is almost the same as in the previous chapter, play with one coin!
Imagine that here you have a coin with a general probability of 50%. Follow this algorithm:
-
Import the
binomobject fromscipy.stats. -
Conduct the experiment with
binomobject usingrvs()function:- Set
pparameter equal to0.5. - Set
sizeparameter equal to1. - Set
nparameter equal to5.
- Set
Please note, you can comment on the line where np.random.seed() was defined and "play with the coin" to receive various outputs.
Solution
Note
Explanation of the output : We were tossing one coin five times, and it only led to success in three cases.
Merci pour vos commentaires !
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