Chapter PI, Problem 7RE

(a)

To determine

To identify the W’s of these data.

Explanation of Solution

In the question, it is given that public relation staff at State collected data on people’s opinion of various colleges and universities in their state. They phoned $\text{850}$ local residents. The W’s of these data are as:

Who- people who live near state university.

What- About their age, whether they attend college or favorable opinion of the state.

When- Not stated.

Where- Asked about region around state university.

Why- To report to the university’s directors.

How- Sampled and phoned $\text{850}$ local residents.

(b)

To determine

To identify the variables and classify each as categorical or quantitative and specify units if relevant.

Answer to Problem 7RE

The variables in these data are the age, attended college and favorable opinion.

Explanation of Solution

In the question, it is given that public relation staff at State collected data on people’s opinion of various colleges and universities in their state. They phoned $\text{850}$ local residents. The variables in these data are the age, attended college and favorable opinion. Thus, the age is the quantitative variable as it is in years and numeric form. And the attended college variable is the categorical variable as it is in the options of yes or no which is non-numeric. And the favorable opinion is also categorical variable as it also gives the options in non-numeric form.

(c)

To determine

To explain are you confident about the report’s conclusion.

Answer to Problem 7RE

No, we are not confident about the report’s conclusion.

Explanation of Solution

In the question, it is given that public relation staff at State collected data on people’s opinion of various colleges and universities in their state. They phoned $\text{850}$ local residents. The variables in these data are the age, attended college and favorable opinion. No, we are not confident about the report’s conclusion because the fact that the respondents know they are being interviewed by the university’s staff may influence their answers which will give the bias results of the survey.