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Chapter 2: Graphs, Charts, and Tables--Describing Your Data

Chapter 2: Graphs, Charts, and Tables--Describing Your Data

Chapter 2: Graphs, Charts, and Tables--Describing Your Data

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CHAPTER 2 • GRAPHS, CHARTS, AND TABLES—DESCRIBING YOUR DATA 57<br />

a. Construct a histogram from this set of data <strong>and</strong><br />

identify the market shares for each of the listed<br />

manufacturers.<br />

b. Excluding the data referred to as “other,”<br />

determine the total market share of the manufacturers<br />

that have headquarters in the United<br />

States.<br />

2-21. Orl<strong>and</strong>o, Florida, is a vacation destination for<br />

travelers from across the United States <strong>and</strong> around<br />

the world. As a result, the Orl<strong>and</strong>o International<br />

Airport is very busy throughout the year. The<br />

Greater Orl<strong>and</strong>o Airport Authority (GOAA) maintains<br />

a variety of data pertaining to airport operations.<br />

For example, the GOAA tracks the number<br />

of people who get on <strong>and</strong> off airplanes by airline.<br />

For the year 2004, these data are in a file called<br />

Orl<strong>and</strong>o Airport 2004. These data can also<br />

be located on the airport’s Web site at sun6.dms.<br />

state.fl.us/goaa. Suppose the airport manager is<br />

interested in analyzing the passenger data. In<br />

particular, she wishes you to help her with the<br />

following. (Hint: Use the variable called Total.)<br />

a. Using the 2 k n guideline, what is the minimum<br />

number of classes that should be used to<br />

display these data in a grouped data frequency<br />

distribution?<br />

b. Referring to part a, what should the class width<br />

be, assuming you round the width up to nearest<br />

1,000 passengers?<br />

c. Referring to parts a <strong>and</strong> b, develop a grouped<br />

data frequency distribution for these airport<br />

data.<br />

d. Based on your answer to part c, construct<br />

<strong>and</strong> interpret a frequency histogram for<br />

the data.<br />

2-22. The manager of AJ’s Fitness center, a full-service<br />

heath <strong>and</strong> exercise club, recently conducted a<br />

survey of 1,214 members. The objective of the<br />

survey was to determine the satisfaction level of<br />

his club’s customers. In addition, the survey asked<br />

for several demographic factors such as age <strong>and</strong><br />

gender. The data from the survey are in a file<br />

called AJFITNESS.<br />

a. One of the key variables is “Overall Customer<br />

Satisfaction.” This variable is measured on an<br />

ordinal scale as follows:<br />

5 very satisfied 4 satisfied 3 neutral<br />

2 dissatisfied 1 very dissatisfied<br />

Develop a frequency distribution for this variable<br />

<strong>and</strong> discuss the results.<br />

b. Develop a joint relative frequency distribution<br />

for the variables “Overall Customer Satisfaction”<br />

<strong>and</strong> “Typical of Visits Per Week.” Discuss the<br />

results.<br />

2-23. The file German Coffee contains data on individual<br />

coffee consumption (in kg) for 144 r<strong>and</strong>omly<br />

selected German coffee drinkers.<br />

a. Construct a data array of the coffee consumption<br />

data.<br />

b. Construct a frequency distribution of the coffee<br />

consumption data. Within what class do more<br />

of the observations fall?<br />

c. Construct a histogram of the coffee consumption<br />

data. Briefly comment on what the histogram<br />

reveals concerning the data.<br />

d. Develop a relative frequency distribution <strong>and</strong><br />

a cumulative relative frequency distribution of<br />

the coffee data. What percentage of the coffee<br />

drinkers sampled consumes 8.3 kg or more<br />

annually?<br />

Bar Chart<br />

A graphical representation of a<br />

categorical data set in which a<br />

rectangle or bar is drawn over each<br />

category or class. The length or<br />

height of each bar represents the<br />

frequency or percentage of<br />

observations or some other measure<br />

associated with the category. The<br />

bars may be vertical or horizontal.<br />

The bars may all be the same color<br />

or they may be different colors<br />

depicting different categories.<br />

Additionally, multiple variables can<br />

be graphed on the same bar chart.<br />

Business<br />

Application<br />

2.2 Bar <strong>Charts</strong>, Pie <strong>Charts</strong>, <strong>and</strong> Stem<br />

<strong>and</strong> Leaf Diagrams<br />

Bar <strong>Charts</strong><br />

Section 2-1 introduced some of the basic tools for describing numerical variables, both discrete<br />

<strong>and</strong> continuous, when the data are in their raw form. However, in many instances,<br />

you will be working with categorical data or data that have already been summarized to<br />

some extent. In these cases, an effective presentation tool is often a bar chart.<br />

NEW CAR SALES The automobile industry is a significant part of the U.S., Japanese, <strong>and</strong><br />

German economies. When car sales are up, the economies of these countries are up, <strong>and</strong><br />

vice-versa. Table 2.8 displays data showing the total number of cars sold in March 2005,

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