The contingency table below shows the results of a random sample of motor vehicle crash deaths by age and gender. At a=0.10, perform a homogeneity of proportions test on the claim that the proportions of motor vehicle crash deaths involving males or females are the same for each group. Age Gender 16-24 25-34 35-44 45-54 55-64 65-74 75-84 85 and older Male Female 94 73 66 69 39 26 24 15 38 21 15 17 12 15 14 11 Click the icon to view additional information regarding the homogeneity of proportions test. State Ho and Ha OA. Ho: The proportions of motor vehicle crash deaths involving males or females are different for each age group. Ha: At least one proportion of motor vehicle crash deaths involving males or females is different. OB. Ho: The proportions of motor vehicle crash deaths involving males or females are the same for each age group. Ha: At least one proportion of motor vehicle crash deaths involving males or females is different. OC. Ho: The proportions of motor vehicle crash deaths involving males or females are the same for each age group. Ha: Exactly one proportion of motor vehicle crash deaths involving males or females is different. H: At least one proportion of motor vehicle crash deaths involving males or females is different. B. Ho: The proportions of motor vehicle crash deaths involving males or females are the same for each age group. H: At least one proportion of motor vehicle crash deaths involving males or females is different. OC. Ho: The proportions of motor vehicle crash deaths involving males or females are the same for each age group. H: Exactly one proportion of motor vehicle crash deaths involving males or females is different. OD. Ho: The proportions of motor vehicle crash deaths involving males or females are the same for each age group. Ha: The proportions of motor vehicle crash deaths involving males or females are different for each age group. More Info Regarding the Homogeneity of Proportions Test Another chi-square test that involves a contingency table is the homogeneity of proportions test. This test is used to determine whether several proportions are equal when samples are taken from different populations. Before the populations are sampled and the contingency table is made, the sample sizes are determined. After randomly sampling different populations, you can test whether the proportion of elements in a category is the same for each population using the same guidelines as the chi-square independence test. The null and alternative hypotheses are always some variation of these statements. Ho: The proportions are equal. Ha: At least one of the proportions is different from the others. Performing a homogeneity of proportions test requires that the observed frequencies be obtained using a random sample, and each expected frequency must be greater than or equal to 5. Print Done