Answer the following questions from our Sample Database using the list of statistics below. Which test will tell you what you want to know? Pick the letter that goes with each question in the boxes. You may use each answer more than once, but you won't use all of them. Some questions have more than one correct answer (but you only have to give one answer).

	Can customers' credit scores be predicted by their short-term debt, age, and savings?
	Customers were asked if they prefer to receive an electronic or paper statement both in years one and two. Did the responses change?
	Do the males and females have similar amounts in savings?
	Did males and females have different numbers of credit inquiries in years one and two?
	The three groups answered the survey question differently (based on the one-way ANOVA), but which group(s) was different from which?
	Did the customers have different responses on survey question one in years one and two (Likert scale)?
	Did the four age groups answer question 5 on the survey differently in year one (Likert scale)?
	Are the males and females different on their Q15 response (myself/someone else)?
	Are the age groups different on their amount in savings when controlling for years employed full-time?

A.	One-way ANOVA
B.	Independent samplesttest or one-way ANOVA
C.	ANCOVA
D.	Chi square
E.	Paired samplesttest
F.	Mixed-model ANOVA
G.	Tukey
H.	McNemar's test
I.	Multiple regression