Instructions: I'm going to go easy on you for this one! We learned a lot about the t-Test for independent samples, and last week you compared estimated speed (in miles) for smashed into group and hit group. This week, I want you to review that assignment and NOW compute the effect size (Cohen's D using the pooled variance). To make sure you have all the data you need to calculate the effect size, here are the means and standard deviationsfor the "hit" and "smashed into" groups from last week.

Group #1: Smashed into mean andSD: Mean = 44.5, Variance = 33.42, SD = 5.78

Group #2: Hit mean andSD:M = 30.7, Variance = 27.17, SD = 5.212

1 - When is it appropriate to use a dependent samplest-Test?

A) Participants are recruited after completing a screening questionnaire

B) Participants are randomly assigned to a group

C)Participants are of different gender

D)Participants provide more than one score or they are matched

2 - Results Section write up:Feedback level collected independently as positive and negative was used as the independent variable and self-intelligence ratings as the dependent variable. Results showed a significant difference between groups,t(38) = 3.45,p< .01. Participants rated their own intelligence higher in the positive feedback condition (M= 4.55,SD= 1.11) than participants in the negative feedback condition (M= 2.22,SD= .09). (fake results from fake date)

Using the write up of the results section from an APA empirical research article. Identify which test was conducted?

A)Independent sample t-test

B)Dependent sample t-test

C) z-test

D) Pearson correlation