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Parameter estimates of beak depths

Estimate the difference of the mean beak depth of the G. scandens samples from 1975 and 2012 and report a 95% confidence interval.

Since in this exercise you will use the draw_bs_reps() function you wrote in chapter 2, it may be helpful to refer back to it.

Diese Übung ist Teil des Kurses

Statistical Thinking in Python (Part 2)

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Anleitung zur Übung

  • Compute the difference of the sample means.
  • Take 10,000 bootstrap replicates of the mean for the 1975 beak depths using your draw_bs_reps() function. Also get 10,000 bootstrap replicates of the mean for the 2012 beak depths.
  • Subtract the 1975 replicates from the 2012 replicates to get bootstrap replicates of the difference of means.
  • Use the replicates to compute the 95% confidence interval.
  • Hit submit to view the results!

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Compute the difference of the sample means: mean_diff
mean_diff = ____

# Get bootstrap replicates of means
bs_replicates_1975 = ____
bs_replicates_2012 = ____

# Compute samples of difference of means: bs_diff_replicates
bs_diff_replicates = ____

# Compute 95% confidence interval: conf_int
conf_int = ____

# Print the results
print('difference of means =', mean_diff, 'mm')
print('95% confidence interval =', conf_int, 'mm')
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