Simulate 10,000 bootstrap resamples of the proportion of positive results from the GoodReads reviews. For each bootstrap resample, calculate the proportion of positive reviews and store the resampled proportions in an array called resamples_positive_prop. Then, plot a histogram of the resampled proportions.

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resamples_positive_prop = make_array()

for i in np.arange(10000):

resample2 = ...

resample2_positive_prop = ...

resamples_positive_prop = ...

# Do NOT change these lines.Table().with_column( "Average Proportion of Positive Reviews in Resamples", resamples_positive_prop).hist("Average Proportion of Positive Reviews in Resamples", bins = np.arange(0.65, 0.95, 0.01))