Here is the following data I have;

Tenant Move In Date

Tenant Move Out Date

Rate Increase Amount

Rate Increase Date

Discount Amount (upon Move In)

The occupied square footage of Tenant

This industry is seasonal so there are higher Move Ins during the summer months.

Main questions;

1) What tool(s) should I use to find the mean, median, and mode for Tenants Duration?

2) What tool(s) should I use to test an hypothesis such as; Tenants move out within 3 months upon receiving a Rate Increase?

3) What tool(s) should I use to test if a discount has any correlation to the length of stay? ie. the large discount amount, the longer length of stay

4) What tool(s) should I use to test if the square footage has any correlation to the length of stay? ie. the larger the sqft, the longer length of stay

I am more than happy to attach my data, but I would prefer to find the answers to the above questions and attempt to do it myself first. I appreciate everyone's time looking into this for me. I hope this is a challenge to some of you

side note: I am decent with excel but consider me new to any other statistical tools such as R or Python. Having said that, I am willing to learn new tools if it's required.

Thank you