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Chapter 13: Forming Associations with Two-Way Tables   233




                          What should you divide by? That is the question!

                        To get the correct answer for any probability in    ✓  If you want the percentage of personal-
                        a two-way table, here’s the trick: Always iden-  call makers who are male, you take 325
                        tify the group being examined. What’s the prob-  divided by 752, the total number of people
                        ability “out of”? In the cellphone example (refer   who make personal calls with their cell-
                        to Table 13-3),                          phones.
                         ✓  If you want the percentage of all users who   In each of these three cases, the numerator is
                           are males using their phones for personal   the same but the denominators are different,
                           calls, you take the cell count 325 divided by   leading you to very different answers. Deciding
                           1,016, the grand total.            which number to divide by is a very common
                                                              source of confusion for people, and this trick
                         ✓  If you want the percentage of males who
                           are  using  their  cellphones  for  personal   can  really  give  you  an  edge  on  keeping  it
                           calls, you take 325 divided by 508, the total   straight.
                           number of males.




                      Trying To Be Independent


                                Independence is a big deal in statistics. The term generally means that two
                                items have outcomes whose probabilities don’t affect each other. The items
                                could be events A and B, variables x and y, survey results from two people
                                selected at random from a population, and so on. If the outcomes of the two
                                items do affect each other, statisticians call those two items dependent (or
                                not independent). In this section, you check for and interpret independence
                                of individual categories, one from each categorical variable in a sample, and
                                you check for and interpret independence of two categorical variables in a
                                sample.


                                Checking for independence

                                between two categories


                                Statistics instructors often have students check to see whether two catego-
                                ries (one from a categorical variable x and the other from a categorical vari-
                                able y) are independent. I prefer to just compare the two groups and talk
                                about how similar or different the percentages are, broken down by














          20_466469-ch13.indd   233                                                                   7/24/09   9:47:59 AM
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