visited_test_stats_under_null = make_array()
repeat = 20000
for i in np.arrange(repetitions):
 new_sum_of_area_code = simulate_visited_area_codes()
 visited_test_stats_under_null = np.append(visited_test_stats_under_null, new_sum_of_area_code)
visited_test_stats_under_null( )
What is a null hypothesis?
Two possibilities being the same is the null hypothesis in inferential statistics. That the observed difference is solely the result of chance is the null hypothesis. Calculating the probability that the null hypothesis is correct using statistical tests is possible.
The null hypothesis can be tested in order to determine whether or not two measured phenomena are related. This makes the null hypothesis useful. It can tell a user if the outcomes are the result of chance or deliberate manipulation of a phenomenon.
To learn more about null hypothesis, use the link given
https://brainly.com/question/13770153
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