Q $1$

The file Members.csv keeps track of a health club's data. It includes important dates regarding members, e$.$g$.$ when the members toured the club $($ before joining$),$ and when they stopped their membership $-$ denoted by visitDate and endDate.

We want to see if the amount of time between visit date and end date $($in months$)$ is significantly different between men and women. $($Hint: Use a t$-$test to check whether this time length $($term$)$ is statistically different between men and women. Also, you will need to filter where status is $$inactive$).$

Q$2$

For the ORNG.csv daily adjusted closing prices:

a$)$ Read these data into a DataFrame and augment the data with the daily returns of adjusted closing price.

b$)$ Plot a histogram of the daily returns.

c$)$ Calculate the skewness and kurtosis of the ORNG daily returns.

d$)$ Determine using a statistical test if the daily returns follow a normal distribution $($with $95\%$ confidence$).$

e$)$ Based on the standard deviation of the daily returns, identify those dates and returns that were smaller than $-3$ standard deviations or larger than $+3$ standard deviations. python solution for this