Question

2) A Statistics student designs a survey for her project. Here are her survey questions: (You do not need to answer the survey questions.) How do you get to SCC? (car, bike, bus, walk, other) What is your gender? (male, female) What is your employment status? (unemployed, employed part-time, employed full- time) How many units are you taking this semester? What was your high school GPA? What is your college GPA? How many hours of sleep do you get in a typical night How old are you? (under 20, 20 up to 25, 25 up to 30, 30+ Do you have children? (yes, no) How many hours do you exercise in a typical week? a) From the list of survey questions identify an explanatory variable and a response variable that could be used for an ANOVA test. explanatory variable: gender response vanable. age b) State your research question and the hypotheses you would test in the context of the variables you chose.

Answer 1

(a) Nicely selected but this cannot work

Here is an alternative:

Explanatory = gender, age

Response = Exercise (Last one)

(b) The research question is: There is a main effect of gender, age on how many times a person exercises.

The hypothesis being tested is:

H₀: There is no main effect of gender

H_a: There is a main effect of gender

The hypothesis being tested is:

H₀: There is no main effect of age

H_a: There is a main effect of age

The hypothesis being tested is:

H₀: There is no interaction effect

H_a: There is an interaction effect

There will be 3 hypothesis and this is a two-factorial design.