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To examine how the O'Brien - Fleming ( OF ) controls the type I error rate, the campaign organizers decided to: perform the A /

To examine how the O'Brien-Fleming (OF) controls the type I error rate, the campaign organizers decided to:
perform the A/A testing experiment 100 times
count how many times they would wrongly reject 0
with their strategy, and
compare it with the expected number of rejections given the significance level =0.05
Use the code below to run 100 experiments and then estimate the type I error rate for the OF method.
Your answer will be a tibble with three columns: n_rejections_OF, n_rejections_unadj, and expected_n_rejections.
These columns should contain: the number of wrong rejections among the 100 experiments for the OF and the classical methods (unadjusted), respectively, compared to the expected number of wrong rejections given the design.
Fill out those parts indicated with ..., uncomment the corresponding code in the cell below, and run it.

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