What would be the appropriate analytic technique? Match the test with the description. See variables below:

A= Independent samples t-test

B = Dependent samples t-test

C= One-way between subjects ANOVA

D = Planned contrast

E=FactorialANOVA

F= Chi Square goodness of fit

G= Chi square test of independence

H= Correlation

I= Simple Regression

J=Multiple Regression

K= ANCOVA

L= Repeated measures

_________1. High school attended and sex explain differences in college GPA.

_________2.Students' GPAs improves between high school and college.

_________3. There is a relationship between GRE math and GRE analytic.

_________4.The effects of GRE preparation on GRE math scores vary as a function of high school attended and gender.

_________5.Students who do not study for the GRE do not perform as well on the GRE verbal as compared to those who either study on their own or take a GRE prep course.

_________6. Student performance on all three sections of the GRE is identical.

_________7.College GPA can be predicted by GRE math, GRE verbal, type of high school attended and high school GPA.

_________8.Do GRE math scores differ between GRE preparation type when high school GPA is accounted for in the analysis?

_________9.Thereis a relationship between type of GRE preparation and school SES.

________10.There is no effect of type of GRE preparation on students' scores on the GRE analytical section.

Note

VARIABLE NAME/HOW MEASURED

Sex1= female; 0 = male

Ethnicity1= Cauc.2= African-Amer. 3=Hispanic 4= Other

Type of High School Attended1= public; 2 = parochial; 3 = private, not religious

School Socioeconomic Status 1= low; 2 = medium; 3 = high

Type of GRE Preparation course1 = None ; 2 = Self -Study; 3= GRE prep course

GRE math score(200-800)

GRE verbal score(200-800)

GRE analytic score(0-12)

High school GPA(0.0 to 4.0)

College GPA(0.0 to 4.0)