Match each scenario with the appropriate statistical test. Each statistical test may only be used ONCE.
Choose:
Related/Paired Sample T-test, One-Way ANOVA, Chi-Square (test of independence), One-Sample T-Test, Factorial (two-way) ANOVA, Independent Sample T-Test, Correlation
1. Researchers want to compare high school senior's scores on the SAT before and after taking an SAT preparation class.
2. Researchers want to understand more about how different relationship statuses (IV) relate to the total income tax paid in 2022 (DV). The relationship status variable has 3 groups: ​single, coupled, and married​.
3. A researcher wants to know about the frequency of different surgeries amongst different genders. They develop a 3X4 design, examining three gender groups: Female, Male, and Gender Non-Conforming, and four types of surgeries: knee replacement, hip replacement, ​Lasik eye surgery, and Appendectomy.
4. A research team wants to examine the association between the average number of discipline reports filed in a school year and teacher satisfaction levels.
5. An undergraduate research assistant wants to examine whether undergraduate psychology majors have higher average GPAs in comparison to all the rest of TXST undergraduates.
6. Sleep researchers want to examine if there is a difference in how quickly people fall asleep with or without taking a Benadryl. ​
7. A botanist wants to understand how sunlight exposure and watering frequency affect plant growth. She plants 100 seeds and lets them grow for three months under different conditions for sunlight exposure and watering frequency. After three months, she records the height of each plant.