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import numpy as np


    

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# experiment: 
# hypothesis: 
# changing color of sign up button from blue to green 
# will increase the number of sign ups


    

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# metric: 
# number_of_clicks/number_of_page_views = click_through_rate (ctr)

# unique_visitors_who_click/unique_vistors_to_page = click_through_probability


    

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# updated hypothesis: 
# changing color of sign up button from blue to green 
# will increase the click_through_probability of the button


    

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unique_visitors = 1000
unique_clicks = 100

click_through_probability = np.true_divide(unique_clicks,unique_visitors)


    

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# binomial distribution