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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.

Diese Übung ist Teil des Kurses

Statistical Thinking in Python (Part 2)

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Anleitung zur Übung

  • 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!

Interaktive Übung

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

# Generate replicates of slope and intercept using pairs bootstrap
bs_slope_reps, bs_intercept_reps = ____

# Compute and print 95% CI for slope
print(np.percentile(____, ____))

# Plot the histogram
_ = plt.hist(bs_slope_reps, bins=50, normed=True)
_ = plt.xlabel('slope')
_ = plt.ylabel('PDF')
plt.show()
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