Statistics- regression, ANOVA tests

Mid-Term

Please type your answers in a Word Document and upload your document on BB by

11:59pm EST on Monday, Nov. 16.

1. Imagine that you are designing a survey instrument (i.e., questionnaire) for a research project you are involved in. As part of the questionnaire, you are collecting participants’

demographics information including: age, income, education, race, and marital status.

The following scales are used for these questions. Please describe the best measure for

central tendency for each of the questions and explain why. Please also indicate how do

you plan to report this data/results in your report.

• Please select the category that best describes your age. 18-24

25-29

30-34

35-39

40-44

45-49

50-54

55-59

60+

• Please select the category that best describes your annual household income. Less than $20000

$20000 - $29999

$30000 - $49999

$50000 - $59999

$60000 -$69999

$70000 or more

• Please select the category that best describes your education level Less than high school

Graduated high school

Some college

Graduated college

Graduate degree

• Please select the category that best describes your racial background African-American

Asian

Hispanics

White/Caucasian

Other

• Please select the category that best describes your marital status.

Single

Married

Divorced

Widowed

2. Below is an output of a regression analysis performed using SPSS. a. Please provide the regression equation based on the output. b. Please write an interpretation of the result. c. Please give the prediction of a student’s SAT math score given that the student’s SAT

EBRW score is 650 based on the regression model.

3. Do you respond faster to a visual signal or an aduditory signal? The reaction times (RT) of seven students were measured for both signals.

Perform a t-test using Excel (or another program if you have access to and prefer).

Please describe your steps and show the output from your test. Write a conclusion based

on your test.

4.

5. Are mentoring programs for youth effective? Dubois et al. (2011) answered yes after reviewing 73 studies that asked this question. The data that follow produce an effect size

index aht mirrors one of the reivwers found. Three groups participated: youth not in a

mentor program, youth matched by schedule with a mentor, and youth matched to a

mentor with common interests. The dependent variable was the difference in school

grade point average after the mentoring program. Perform an ANOVA test and any

needed post-hoc tests (using Excel or any other statistical software you prefer or have

access to). Write an interpretation of your analysis, keeping in mind DuBois’ conclusion.