Follow the usual Fork, Go onto Colab, and bring it down there to work on it. We will go over it on Saturday.
Any questions, put them in this thread
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It’s a warning. 2 packages used have some minor incompatibility. Please ignore!
I haven’t really understood the 4th question, I tried working on it multiple times…
Sir, I completed the homework but in question 5, i didn’t understand how to implement the zip and dict so I tried another method and got the results sine the data size was limited and the sample size was already known.
SIr where am I going wrong here:
def replicate_throws(number_of_samples, sample_size):
for i in range(number_of_samples):
throws = np.random.choice(['H', 'T'],sample_size)
heads = np.sum(throws == 'H')
return heads/sample_size
I need 20 outcomes. Each outcome is of sample size 10. I am getting only one output
Sir I got it. This is what I have done:
def replicate_throws(number_of_samples, sample_size):
ss = []
for i in range(number_of_samples):
throws = np.random.choice(['H', 'T'],sample_size)
heads = np.sum(throws == 'H')
ss.append(heads/sample_size)
return ss