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  3. Statistical Thinking in Python (Part 2)

Exercise

Pairs bootstrap of literacy/fertility data

Using the function you just wrote, perform pairs bootstrap to plot a histogram describing the estimate of the slope from the illiteracy/fertility data. Also report the 95% confidence interval of the slope. The data is available to you in the NumPy arrays illiteracy and fertility.

As a reminder, draw_bs_pairs_linreg() has a function signature of draw_bs_pairs_linreg(x, y, size=1), and it returns two values: bs_slope_reps and bs_intercept_reps.

Instructions

100 XP
  • Use your draw_bs_pairs_linreg() function to take 1000 bootstrap replicates of the slope and intercept. The x-axis data is illiteracy and y-axis data is fertility.
  • Compute and print the 95% bootstrap confidence interval for the slope.
  • Plot and show a histogram of the slope replicates. Be sure to label your axes. This has been done for you, so click submit to see your histogram!