Page 275 - Statistics II for Dummies
P. 275

Chapter 14: Being Independent Enough for the Chi-Square Test  259


                                If you use the Z-test to see whether the proportion of male cellphone owners
                                is equal to the proportion of female cellphone owners, you’re really looking
                                at whether you can expect the same proportion of cellphone owners despite
                                gender (after you take the sample sizes into account). And that means you’re
                                testing whether gender (male or female) is independent of cellphone owner-
                                ship (yes or no).

                                If the proportion of female cellphone owners equals the proportion of male
                                cellphone owners, the proportion of cellphone owners is the same regardless
                                of gender, so gender and cellphone ownership are independent. On the other
                                hand, if you find the proportion of male cellphone owners to be unequal to
                                the proportion of female cellphone owners, you can say that cellphone use
                                differs by gender, so gender and cellphone ownership are dependent.
                                With the cellphone data, you have 45 males using cellphones (out of 100
                                males) and 55 females using cellphones (out of 100 females). The Minitab
                                output for the Chi-square test for independence (complete with observed and
                                expected cell counts, degrees of freedom, test statistic, and p-value) is shown
                                in Figure 14-4. The p-value for this test is 0.157, which is greater than the typi-
                                cal α level 0.05, so you can’t reject Ho.

                                Because the Chi-square test for independence and the Z-test tests are equiva-
                                lent when you have a two-by-two table, the p-value from the Chi-square test
                                for independence is identical to the p-value from the Z-test for two propor-
                                tions. If you compare the p-values from Figures 14-3 and 14-4, you can see
                                that for yourself.



                                 Chi-Square Test: Gender, Cellphone
                                 Expected counts are printed below observed counts
                                 Chi-Square contributions are printed below expected counts

                                              Y      N    Total
                                      M      45     55      100
                                          50.00  50.00
                                          0.500  0.500
                       Figure 14-4:
                      Minitab out-    F      55     45      100
                        put testing       50.00  50.00
                                          0.500  0.500
                         indepen-
                         dence of
                                 Total      100    100      200
                       gender and
                        cellphone
                                 Chi-Sq =  2.000,  DF =  1, P-Value = 0.157
                       ownership.











          21_466469-ch14.indd   259                                                                   7/24/09   9:51:32 AM
   270   271   272   273   274   275   276   277   278   279   280