Suppose you decide to use the number of wins as your test statistic. Question 4. Write a function called simulate that generates exactly one simulated value of your test statistic under the null hypothesis. It should take no arguments and simulate 20 games under the assumption that the result of each game is sampled from a fair coin (one that lands heads or lands tails with 50% chance). Your function should return the number of wins in those 20 games. Hint: You may nd the textbook section under-themodel)_ on the sample_proportions function to be useful. In [21]: fair_coin = [.5, .5] def simulatel): return sample_proportions(28, fair_coin)[0]*28 # call your function to make sure it works simulate() Out[21]: 11.0 In [22]: ok.grade(\"q2_4"}; ~~~H~~~~~~~H ~~~~ ~~~~ ~~~~~~~~H ~~~H~~~H~~~~ ~~~~ ~~~~ ~~~~~~~H~~~P ~~~~ ~~~~ Test summary Passed: 1 Failed: B [ooooooooook] 160.6% passed for i in np.arange(repetitions): test_statistics_under_nu11 = np.append(test_statistics_under_nu11 . simulate()} testistatisticsiunderinull