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3 years ago

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A marketing manager for a makeup company randomly selected 60 rewards members and splits them into two groups. One group receive

s an email showing new products and the other group received an email showing products that were on sale. They recorded whether the recipient clicked through to the website or not. Their goal is to determine which type of email brings more customers to their website.
Required:
a. What is the sample?
b. What would be an appropriate population to draw inference to based on this sample?
c. What is the predictor variable? Is it quantitative or categorical?
d. What is the response variable? Is it quantitative or categorical?

1 answer:

antoniya [11.8K]3 years ago

6 0

Answer:

a)

The sample is 60 rewards members for the makeup company

b)

Appropriate population is the entire members of the makeup company

c)

(Email showing new products or emails showing products that were on sale) are the predictor variables and its categorical

d)

the recipient clicked through to the website or not; is the response variable and its also categorical

Step-by-step explanation:

Given the data in the question;

a) What is the sample?

The sample is 60 rewards members for the makeup company

b) What would be an appropriate population to draw inference to based on this sample?

Appropriate population is the entire members of the makeup company.

c) What is the predictor variable? Is it quantitative or categorical?

The predictor variable is type of emails i.e (email showing new products or emails showing products that were on sale).

This categorical.

d) What is the response variable? Is it quantitative or categorical?

The response variable is; the recipient clicked through to the website or not.

This is also categorical.

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