Casey Car Sales will be opening the doors in a new location in 4 weeks. The owner has hired local talent with good connections in the community. The manager, Julia, requests data from the other Casey Car Sales locations prior to purchasing inventory. The first data Julia asks for is the types of cars carried on the lot. Of the four levels of measurement, which is the type of cars.
 

After a review of the types of cars, Julia requests the sales dollars per week for the past 52 weeks. Which type of data are sales dollars?

 
Julia discovers a car that sold for only $5,000 when the average sales are $29,000. She also discovers a car that sold for $55,000. You explain these are outliers from cars traded in for purchase of new cars. Julia asks if she should include these in her analysis.

Julia receives a contact list for filing warranties on the different types of vehicles. The contact list has a missing email address. Which type of error does this create?

Although Julia is experienced in the car sales industry, how can her use of analytics be helpful?

How will analytics benefit decisions?

A week before opening the doors Julia divides the sales team into two groups. She has one group email potential customers to invite them to the Grand Opening. She has the other team  call the customers to invite them to the Grand Opening? She wants to measure the response to the invites for each groups to see which was more effective. 

Julia is performing an experiment which has three elements. Experimental units, Treatment, and response. Which is the unit?