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

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

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

FIGURE 2.8<br />

Excel 2007 Output of<br />

the Joint Relative<br />

Frequencies<br />

Excel 2007 Instructions:<br />

1. Place cursor in the Gender<br />

numbers of the PivotTable.<br />

2. Right-click <strong>and</strong> select<br />

Value Field Settings.<br />

3. On the Show values as<br />

tab, click on the down<br />

arrow <strong>and</strong> select % of<br />

total.<br />

4. Click OK. In Figure 2.8 we have used the<br />

<strong>Data</strong> Field Settings of the Excel<br />

PivotTable to represent the data as<br />

percentages.<br />

total 300 people in the survey. For example, the $540-to-$689 class had 20.33% (61) of the<br />

300 customers. The male customers with balances in the $540-to-$689 range constituted<br />

15% (45) of the 300 customers, whereas females with that balance level made up 5.33%<br />

(16) of all 300 customers. On the surface, this result seems to indicate a big difference<br />

between males <strong>and</strong> females at this credit balance level.<br />

Suppose we really wanted to focus on the male-versus-female issue <strong>and</strong> control for<br />

the fact that there are far more male customers than female. We could compute the percentages<br />

differently. Rather than using a base of 300 (the entire sample size), we might<br />

instead be interested in the percentages of the males who have balances at each level, <strong>and</strong><br />

the same measure for females. 2 Figure 2.9 shows the relative frequencies converted to<br />

FIGURE 2.9<br />

Minitab Relative<br />

Frequency<br />

Distribution—Males<br />

<strong>and</strong> Females<br />

Minitab Instructions:<br />

1. Open file: Capital.MTW.<br />

2. Steps 2–7 as in Figure 2.7.<br />

3. Click on Stat > <strong>Tables</strong> ><br />

Cross Tabulation <strong>and</strong><br />

Chi-square.<br />

4. Under Categorical<br />

variables For rows enter<br />

Classes column <strong>and</strong> For<br />

columns enter Gender<br />

column.<br />

5. Under Display, check<br />

Total Percents.<br />

6. Click OK.<br />

2 Such distributions are known as marginal distributions.

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