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Match the following:

A.	Matched-pairs t test
B.	Inference for regression
C.	Two-sample independent t test about means
D.	Two-sample z test about proportions
E.	1 sample Z test about a mean
F.	Chi Square test
G.	ANOVA
H.	1 sample Z test about a proportion
I.	1 sample T test about a mean

We take random samples of Black, White, Asian, and Hispanicworkers to determine if mean earnings differ among thesegroups.
  We examine a randomsample of Oakland apartments to see if overall there is arelationship between rent charged and size (measured in squarefeet).
We take a simple random sample ofPittsburgh households to see if single parent households are in themajority.
We want to test if the averagestudy time for freshmen is different than the average study timefor seniors.
We test if the average exercisetime for a random sample of children from the city is less than thenational average amount of 30 minutes per day.  We knowthe population standard deviation is 11 minutes per day.
We take a random sample of malesand a random sample of females and ask each person whether or notthey enjoy Pumpkin Spice Lattes. We are interested in testingwhether or not the rates of enjoyment are equal.
  We take a small randomsample of Oakland apartments to determine if the average monthlyelectric bill is significantly greater than $100.  We usethe sample standard deviation since the true population standarddeviation of electric bills in Oakland is unknown.
We measure a sample of 30freshmen’s excitement (0 – 100 scale, higher means more excited)about Pitt as a school.  We measure those same students’excitement at the conclusion of their first year and are investedin the change in excitement.