Basic confidence intervals

You are a data scientist for a fireworks manufacturer in Des Moines, Iowa. You need to make a case to the city that your company's large fireworks show has not caused any harm to the city's air. To do this, you look at the average levels for pollutants in the week after the fourth of July and how they compare to readings taken after your last show. By showing confidence intervals around the averages, you can make a case that the recent readings were well within the normal range.

This data is loaded as average_ests with a row for each measured pollutant.

Create the lower and upper 95% interval boundaries by subtracting and adding 1.96 standard errors from the mean of estimates.
Pass pollutant as the faceting variable to sns.FacetGrid().
Unlink the x-axes of the plots, so intervals are all well-sized.
Pass the constructed interval boundaries to the mapped plt.hlines() function.

Take Hint (-30 XP)

Exercise

Basic confidence intervals

Instructions