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son4ous
19 days ago
9

Suppose you decide to use the number of times you see any of the area codes of the places Yanay has been to in 50 spam calls as

your test statistic. Question 7. Write a function called simulate_visited_area_codes that generates exactly one simulated value of your test statistic under the null hypothesis. It should take no arguments and simulate 50 area codes under the assumption that the result of each area is sampled from the range 200-999 inclusive with equal probability. Your function should return the number of times you saw any of the area codes of the places Yanay has been to in those 50 spam calls. Hint: You may find the textbook section on the sample_proportions function to be useful. For model_proportions, under the null hypothesis, what's the chance of drawing one of the area codes Yanay has recently been to
Computers and Technology
1 answer:
Harlamova29_29 [1K]19 days ago
8 0
In Python: import random def simulate_visited_area_codes(): area_codes = [] for i in range(51): num = random.randint(200,1000) area_codes.append(num) visited_codes = [289, 657, 786, 540] count = 0 for i in range(51): for j in range(len(visited_codes)): if area_codes[i] == visited_codes[j]: count+=1 return count print("Visited Areas: " + str(simulate_visited_area_codes())) Explanation: Your question appears to lack many details, and therefore I will make some assumptions. These are: The 50 area codes are stored in the area_codes list, which is populated with randomly generated values. The visited area codes are saved in visited_codes list, initially set as [289, 657, 786, 540]. The subsequent program aims to count and explain the necessary steps.
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