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Chapter 19: Two-Way Tables and Independence

                                                    A limitation of a joint distribution is that you can’t fairly compare two groups
                                                    to each other (for example pet campers versus non–pet campers) because the
                                                    joint distribution puts more weight on larger groups. The next section shows
                                                    how to fairly compare the groups in a two-way table.
                                                    Comparing groups with conditional
                                                    distributions
                                                    You need a different type of distribution other than a joint distribution to
                                                    compare the results from two groups (for example comparing opinions of pet
                                                    campers versus non–pet campers). Conditional distributions are used when
                                                    looking for relationships between two categorical variables; the individuals
                                                    are first split into the groups you want to compare (for example, pet campers
                                                    and non–pet campers); then the groups are compared based on their opinion
                                                    on a pet section (yes, no). In the following sections, I explain how to calculate
                                                    and graph conditional distributions.                                  305
                                                    Calculating conditional distributions
                                                   To find conditional distributions for the purpose of comparison, first split the
                                                    individuals into groups according to the variable you want to compare. Then
                                                    for each group, take the cell count (the number of individuals in a particular
                                                    cell) divided by the marginal total for that group. Do this for all the cells in
                                                    that group. Now repeat for the other group, using its marginal total as the
                                                    denominator and the cells within its group as the numerators. (See the earlier
                                                    section “Figuring the totals” for more about marginal totals.) You now have
                                                    two conditional distributions, one for each group, and you fairly compare the
                                                    results for the two groups.
                                                    For the pet camping survey data example (earlier in this chapter), you
                                                    compare the opinions of two groups: pet campers and non–pet campers;
                                                    in statistical terms you want to find the conditional distributions of opinion
                                                    based on the pet camping variable. That means you split the individuals
                                                    into the pet camper and non–pet camper groups, and then for each group,
                                                    you find the percentages of who supports and opposes the new pet section.
                                                    Table 19-7 shows these two conditional distributions in table form (working
                                                    off Table 19-3).















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