Please help me answer these questions for these scenario:

Scenario 1:

A researcher investigates whether it is more effective to put questions before or after introducing a new concept in a mathematics text. They devise two sections on different mathematical concepts: one with questions before the descriptions, and the other with questions after. Each student studies one topic with the questions presented before and one topic with the questions presented after. Test performance (number of correct answers) is recorded. The researcher wants to know which method is more effective.

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, Pearson r, Spearman's rho, Independent groups t-test, Dependent groups t-test, Mann-Whitney U test, or Wilcoxon test)

Scenario 2

An educational researcher is interested in whether students who compose papers on a computer or who first write out the paper by hand tend to use a pen or a pencil when they are taking notes in class. The number of students who fall into each of the four categories is recorded (e.g., computer & pencil, computer & pen, writing first & pencil, writing first & pen). Is the type of writing instrument used in class related to the method by which the student composes papers?

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, Pearson r, Spearman's rho, Independent groups t-test, Dependent groups t-test, Mann-Whitney U test, or Wilcoxon test)

Scenario 3

You are interested in the effects of talking on a cell phone while driving a car. Suppose that you asked 12 people to drive two simulated trips (in a driving simulator). During one of these trips they will be carrying on a conversation on a cell phone. During the other trip they will not be talking on the phone. You will measure how quickly participants are able to apply the brakes when certain events (e.g., a dog running in front of the car) occur during their simulated trips to see if talking on the phone slows people's reaction times. Does talking on the phone affect one's driving ability?

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, Pearson r, Spearman's rho, Independent groups t-test, Dependent groups t-test, Mann-Whitney U test, or Wilcoxon test)