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222        Part IV: Building Strong Connections with Chi-Square Tests



                                Suppose you’re collecting data on cellphone users, and you want to find out
                                whether more females use cellphones for personal use than males. A study
                                of 508 randomly selected male cellphone users and 508 randomly selected
                                female cellphone users conducted by a wireless company found that women
                                tend to use their phones for personal calls more than men (big shocker). The
                                survey showed that 427 of the women said they used their wireless phones
                                primarily to talk with friends and family, while only 325 of the men admitted
                                to doing so.

                                But you can’t stop there. You need to break down this information, calculate
                                some percentages, and compare those percentages to see how close they
                                really are. Sample results vary from sample to sample, and differences can
                                appear by chance.
                                In this chapter, you find out how to organize data from categorical variables
                                (that’s data based on categories rather than measurements) into a table
                                format. This skill is especially useful when you’re looking for relationships
                                between two categorical variables, such as using a cellphone for personal
                                calls (a yes or no category) and gender (male or female). You also summarize
                                the data to answer your questions. And, finally, you get to figure out, once
                                and for all, what’s going on with that Simpson’s Paradox thing.


                      Breaking Down a Two-Way Table


                                A two-way table is a table that contains rows and columns that helps you
                                organize data from categorical variables in the following ways:

                                  ✓ Rows represent the possible categories for one categorical variable,
                                    such as males and females.
                                  ✓ Columns represent the possible categories for a second categorical vari-
                                    able, such as using your cellphone for personal calls, or not.


                                Organizing data into a two-way table


                                To organize your data into a two-way table, first set up the rows and columns.
                                Table 13-1 shows the setup for the cellphone data example that I set up in the
                                chapter introduction.

















          20_466469-ch13.indd   222                                                                   7/24/09   9:47:54 AM
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