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Exercise

Estimation of mean improvement

You will now estimate how big this current effect is. Compute the mean fractional improvement for being in a high-numbered lane versus a low-numbered lane, along with a 95% confidence interval of the mean.

Instructions

100 XP
  • Compute the mean fractional difference using np.mean(). The variable f from the last exercise is already in your namespace.
  • Draw 10,000 bootstrap replicates of the mean fractional difference using dcst.draw_bs_reps(). Store the result in a numpy array named bs_reps.
  • Compute the 95% confidence interval using np.percentile().
  • Hit 'Submit Answer' to print the mean fractional improvement and 95% confidence interval to the screen.