Matchthe most appropriate statistical test for the following: chi square test, 1 sample z test about a proportion, 1 sample z test about a mean, 1 sample t test about a mean, inference for regression, two-sample independent t test about mean,two-sample independent z test about proportion, matched pairs test, ANOVA

1.We take random samples of Black, White, Asian, and Hispanic workers to determine if mean earnings differ among these groups.

2.We examine a random sample of Oakland apartments to see if overall there is a relationship between rent charged and size (measured in square feet).

3.We take a simple random sample of Pittsburgh households to see if single parent households are in the majority.

4.We want to test if the average study time for freshmen is different than the average study time for seniors.

5.We test if the average exercise time for a random sample of children from the city is less than the national average amount of 30 minutes per day.We know the population standard deviation is 11 minutes per day.

6.We take a random sample of males and a random sample of females and ask each person whether or not they enjoy Pumpkin Spice Lattes.We are interested in testing whether or not the rates of enjoyment are equal.

7.We take a small random sample of Oakland apartments to determine if the average monthly electric bill is significantly greater than $100.We use the sample standard deviation since the true population standard deviation of electric bills in Oakland is unknown.

8.We measure a sample of 30 freshmen'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 invested in the change in excitement.