Question

Which appropriate test should be used with each? Please Explain your process.

Example of how to form the answer

IV:

DV:

What sample test? Independent sample t-test, ANOVA, One-way ANOVA, Simple regression, CHI-square

A). Which test should be used for this hypothesis: There are more male than female Reddit members.

B). Which test should be used to test this hypothesis: younger people (22-35 yrs) have higher intentions to adopt self-driving cars (measured by 7-point bipolar scales) than older people (55 yrs or above)?

C). Siri wants to find out if using the productivity app (e.g., Forest: Stay Focused and Pocket Points) is effective among college students. Which test should she use to test this hypothesis: The more frequent students use productivity apps, the more time they will spend studying? The frequency is measured by the number of times the app is used on a daily basis.

D). To test a hypothesis, Alexa is analyzing the data to determine which one of the four display ads will influence online users’ intention to click the most. The intention to click is measured by 5-point Likert scales.

Answer 1

A.

IV: Gender (Two levels: Male and female)

DV: Reddit members (Type: Binary response)

Sample test: Chi-square test (Chi-Square test of independence test is appropriate since here we want to test the effect of dependent variable is influenced by the independent variable)

B. IV: Age group (Two levels: Younger group and Older group)

DV: Intentions to adopt self-driving cars (measured by 7-point bipolar scales)

Sample test:  Independent sample t-test (since here we compare intentions to adopt self-driving cars between these two groups)

C. IV: Productivity app

DV: Time spending for study

Sample test: Simple regression

D. IV: Ads; DV: Intention to click

Sample test: One way ANOVA (since there are 4 levels of IVs)