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For each of the five data sets described, answer the following three questions and then use Figure 2.2 (on page 48 ) to select an appropriate graphical display. Question 1: How many variables are in the data set? Question 2: Is the data set categorical or numerical? Question 3: Would the purpose of a graphical display be to summarize the data distribution, to compare groups, or to investigate the relationship between two numerical variables? Data Set 1: To learn about the heights of five-year-old children, the height of each child in a sample of 40 five-year-old children was measured. Data Set 2: To see if there is a difference in car color preferences of men and women, each person in a sample of 100 males and each person in a sample of 100 females was shown pictures of a new model car in five different colors and asked to select which color they would choose if they were to purchase the car. Data Set 3: To learn how GPA at the end of the freshman year in college is related to high school GPA, both high school GPA and freshman year GPA were determined for each student in a sample of 100 students who had just completed their freshman year at a particular college. Data Set 4: To learn how the amount of money spent on a fast-food meal might differ for men and women, the amount spent on lunch at a particular fast-food restaurant was determined for each person in a sample of 50 women and each person in a sample of 50 men. Data Set 5: To learn about political affiliation (Democrat, Republican, Independent, and so on) of students at a particular college, each student in a random sample of 200 students was asked to indicate his or her political affiliation.

Short Answer

Expert verified
Data Set 1: One numerical variable, purpose is to summarize data distribution, best graphical display is histogram or box plot. \n Data Set 2: Two categorical variables, purpose is to compare groups, best graphical display is bar chart or pie chart. \n Data Set 3: Two numerical variables, purpose is to investigate relationship, best graphical display is scatterplot. \n Data Set 4: One categorical and one numerical variable, purpose is to compare groups, best graphical display is side by side box plots or multi-series histograms. \n Data Set 5: One categorical variable, purpose is to summarise data distribution, best graphical display is bar chart or pie chart.

Step by step solution

01

Analyze Data Set 1

This dataset contains a single variable (height) and is numerical. The purpose of a graphic would be to summarize the data distribution of heights among five-year-olds. Possible graphics could be histogram or box plot.
02

Analyze Data Set 2

This dataset contains two variables (gender and color preference), and is categorical. Here, the purpose of a graphical display would be to compare groups (men vs women). Possible graphics could be bar chart or pie chart.
03

Analyze Data Set 3

This dataset contains two numerical variables (high school GPA and college freshman GPA). The purpose of the graph would be to investigate the relationship between them. A scatterplot would most fit this purpose.
04

Analyze Data Set 4

This data set contains two variables (gender and lunch expense), one categorical and one numerical. The purpose here is to compare groups (men vs women). Side by side box plots or multi-series histograms can be used.
05

Analyze Data Set 5

The dataset contains one variable (political affiliation) and is categorical. The purpose here would be to summarize the data distribution. A bar chart or pie chart would fit this purpose.

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For each of the five data sets described, answer the following three questions and then use Figure 2.2 (on page 48 ) to choose an appropriate graphical display for summarizing the data. Question 1: How many variables are in the data set? Question 2: Is the data set categorical or numerical? Question 3: Would the purpose of the graphical display be to summarize the data distribution, to compare groups, or to investigate the relationship between two numerical variables? Data Set 1: To learn about credit card debt of students at a college, the financial aid office asks each student in a random sample of 75 students about his or her amount of credit card debt. Data Set 2: To learn about how number of hours worked per week and number of hours spent watching television in a typical week are related, each person in a sample of size 40 was asked to keep a log of hours worked and hours spent watching television for one week. At the end of the week, each person reported the total number of hours spent on each activity. Data Set 3: To see if satisfaction level differs for airline passengers based on where they sit on the airplane, all passengers on a particular flight were surveyed at the end of the flight. Passengers were grouped based on whether they sat in an aisle seat, a middle seat, or a window seat. Each passenger was asked to indicate his or her satisfaction with the flight by selecting one of the following choices: very satisfied, satisfied, dissatisfied, and very dissatisfied. Data Set 4: To learn about where students purchase textbooks, each student in a random sample of 200 students at a particular college was asked to select one of the following responses: campus bookstore, off-campus bookstore, purchased all books online, or used a combination of online and bookstore purchases. Data Set 5 : To compare the amount of money men and women spent on their most recent haircut, each person in a sample of 20 women and each person in a sample of 20 men was asked how much was spent on his or her most recent haircut.

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