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Why do we use adjusted forms of t-tests during the post hoc tests we conduct after an ANOVA

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Introduction to statistics for psychology

1- Explain what a statistically significant result means

2- Why do we use adjusted forms of t-tests during the post hoc tests we conduct after an ANOVA

3- How does the standardized coefficient (Beta) in a linear regression differ from the correlation coefficient?

4- To test whether a new type of therapy can reduce depression we are going to split people up into two groups. We will have the members of one group participate take part in the therapy program for 5 weeks while we will use the 2nd group as a control group and will not have them undertake any therapy, we will then measure the depression scores of both groups. Which of the following tests should we use:

a. One Sample t-test

b. Dependent samples t-test

c. Correlation

d. Independent samples t-test

5- We want to test whether a model made up of people's social anxiety levels, amount of sleep, and IQ scores would be good at predicting people's level of self-confidence. Which of the following tests should we use:

a. Correlation

b. Linear Regression

c. ANOVA

6- If the correlation between motivation and physical health (both measured on scales from 1-10) was 0.9 (R-squared= 0.81) and the correlation between motivation and number of friends on social media was 0.3 (R-squared= 0.09) then the strength of the relationship between physical health and motivation is:

a. Three times as strong as the relationship between motivation and no. of friends on social media

b. Nine times as strong as the relationship between motivation and no. of friends on social media

7- We hypothesized that solo singers, choir singers, soloist musicians, and

ensemble musicians each experience different levels of stress before performing on stage. We signed up a few musicians from each of the 4 groups mentioned and measured their stress levels before their live performances. Which of the following should we use to test out our hypothesis:

a. One-sample t-test b. Linear Regression c. ANOVA

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