I have to complete a bivariate analysis worksheet, and I'm having trouble deciding which scenario goes with which type of research.

Here are the six scenarios:

1.A college admissions department wants to determine if there is a relationship between students family income (annual income amount) and students SAT scores.

2.A child care center wants to determine if there is a relationship between how long a child naps (length of nap time in minutes) and incidents of aggression (how many aggressive outbursts a child experiences).

3.A researcher wants to determine if there is a relationship between media outlet (social media, newspapers, and radio) and interest in media by population group (youth, young adults, and older adults).

4. A nurse practitioner wants to determine if there is a relationship between a patient's allergic reaction to a vaccine and the site where she applies the vaccine (arm vs. leg).

5.A homeless shelter program wants to know if quality of life before the homelessness episode is related to whether or not homeless individuals will complete the intervention program (complete/non-complete). A quality of life measure is completed by homeless individuals prior to starting the intervention. The researchers hypothesize that those who complete the program had higher quality of life prior to becoming homeless.

6.A teen violence prevention program is providing mentorship to youth who report interpersonal violence in a relationship. Before starting the mentorship program youth are asked to complete a violence measure (used to compute a score). The mentorship program runs for 3 months. At the end of the three months the youth complete the same violence measure once more.

Our options include independent means t-test, dependent means t-test, ANOVA, Chi Square and correlation analysis. Any help would be much appreciated! Thanks.