For Questions 1-5, I have created the results sections for several hypothetical research studies. Read each results section and determine whether a paired t-test, independent t-test, ANOVA, chi-square, or correlation was used. Question 6 requires you to predict a student’s college GPA based on regression analysis results using high school GPA and SAT scores.
1. There was no difference in the high school GPAs of education majors (M=3.58, SD=.65), engineering majors (M=3.62, SD=76), and art majors (M=3.42, SD=56) at the University of Connecticut, F(2, 234)=1.23, p>.05.
2. There is a relationship between the high school GPAs of education majors (M=3.58, SD=.65) and engineering majors (M=3.62, SD=.76) at the University of Connecticut, r(234)=0.87, p<.05.
3. There was no difference in the high school GPAs of education majors (M=3.58, SD=.65) and engineering majors (M=3.62, SD=76) at the University of Connecticut, t(234)=0.23, p>.05.
4. The reading level of a sample of kindergarten students (n=34) was higher at the end of their first year of kindergartner (M=15.23, SD=1.1) than at the beginning of that year of kindergarten (M=12.32, SD=1.2), t(31)=4.23, p<.05.
5. Education majors did not have a preference of the colors red (n=23), blue (n=25), or yellow (n=21), X2 (2)=1.22, p>.05.
6. Given the following regression equation, what is the predicted college GPA for a student with a 480 verbal SAT, a 610 quantitative SAT, and a high school GPA of 3.2?
Predicted College GPA = 0.4 + 0.4 (High School GPA) + .00085 (Verbal SAT) + 0.00165 (Quantitative SAT)
Report your answer to two decimal places (e.g., College GPA = 2.45).