1. Use the variable "Annual.miles.drive" to construct the confidence intervals for the estimate of the population mean (i.e., mean of annual miles driven), by gender, i.e. by male and female drivers, at 94% levels. Interpret your confidence intervals.

Data for female
Sample Mean	9343.696329
Sample Standard Deviation	3903.358099
Sample Size	274
Confidence Level	94%

Confidence Interval for Female
Interval Lower Limit	8900.2
Internal Upper Limit	9787.2

The interpretation of these two tables above is that we are 94% confident that the population mean miles driven by females is between 8900.2 and 9787.2 miles.

Data for Male
Sample Mean	9301.885749
Sample Standard Deviation	4170.560769
Sample Size	326
Confidence Level	94%

Confidence Interval for Male
Interval Lower Limit	8867.4
Internal Upper Limit	9736.3

The interpretation of these two tables above is that we are 94% confident that the population mean miles driven by males is between 8867.2 and 9763.3 miles.

1. Did you make any assumptions when constructing your confidence intervals? If yes, which assumptions; if not, why?

1. If insurance companies charge premiums based on the annual miles driven, based on your finding, is it warranted for insurance companies to charge male drivers higher premiums based on this data set? Explain