Please help me answer these questions for these scenario:

Scenario 1:

A researcher believes that the longer students sleep the night before a test, the better they will do on the test. She measures two variables to answer her research question:the percentage correct on each student's test and how many hours they slept the night before. Is there a relationship between hours of sleep and test scores?

1. Whether the test is measuring a relationship between two variables, or comparing measures of central tendency for one variable.if comparing measures of central tendency, is it a between or within subjects design?
2. What scale is the data measured on (nominal, ordinal, interval, or ratio)?
3. What is the appropriate test for analyzing the data? (Chi-square goodness of fit, Chi-square test of independence, Pearsonr, Spearman's rho, Independent groups t-test, Dependent groups t-test, Mann-Whitney U test, or Wilcoxon test)

Scenario 2:

A product designer is comparing the effectiveness of two different advertising campaigns on purchasing behavior. The designer posts 2 kinds of ads on Facebook, half of which feature a picture of a baby next to the product, half of which picture an attractive model next to the product. They then measure the number of dollars earned from purchases made after clicking on each ad type.

1. Whether the test is measuring a relationship between two variables, or comparing measures of central tendency for one variable.if comparing measures of central tendency, is it a between or within subjects design?
2. What scale is the data measured on (nominal, ordinal, interval, or ratio)?
3. What is the appropriate test for analyzing the data? (Chi-square goodness of fit, Chi-square test of independence, Pearsonr, Spearman's rho, Independent groups t-test, Dependent groups t-test, Mann-Whitney U test, or Wilcoxon test)