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Binomial Coefficient ( [ N ] , [ k ] ) in Python The above cell imports scipy. special, which is a subpackage of scipy

Binomial Coefficient ([N],[k]) in Python
The above cell imports scipy. special, which is a subpackage of scipy and contains method comb(N,k), This method can be used to compute
binomial coefficient ([N],[k])=N*(N-1)cdotscdots*(N-k+1)k!=N!k!(N-k)!, i.e. the number of ways of choosing a subset of k objects from a set of N objects.
For example, if you need number of ways of choosing 3 out of 7 balls from a box, that number can be found by calling
scipy.special. comb(7,3)
Feel free to use scipy.special. comb() in this assignment.
In addition, if you want to compute factorial nn*(n-1)*(n-2)*dots*2*1, you can use
scipy.special. factorial(n)
Question 1
A die is rolled 10 times. Let x be the number of times six appears in these 10 rolls.
Part a)
What is the probability that xin{4,5}, i.e. that six appears 4 or 5 times? Do NOT round your answer.
Write your answer as
ans = some expression>
For example, if you think the answer is 136 you should create variable ans as
ans =136
IMPORTANT: Just typing 1/36, or answer =136 is not acceptable. Also, do NOT put dot at the end (this is a python code, not a sentence in
English). Your answer will be graded automatically, and the test code expects you to create a Python variable called ans, and the code will test the value
of ans.
In [1]:
# your code here
raise NotImplementedError
In [2]: """'Check whether the answer is numeric and from the interval [0,1]- since it's a probability"""
assert isinstance(ans, float)
assert ans
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