Data Science, Product Analytics, Ab Testing, Simulation, Deep Dives.
plt.legend() plt.xlim(ax.get_xlim()[0] - 5, ax.get_xlim()[1] + 5) plt.show() return bootstrap_df We can look at the distribution. The confidence interval is above 0, so we can say there's an effect with 95% confidence. You can spot that distribution is bimodal, and each mode corresponds to one of