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Chapter 6: Categorical Data

Figure 6-10:

Bar Graph displaying Conditional Distributions for

Ratings Given Gender for

Example 6-8(b)

(c) Based on the results in parts (a) and (b), can one conclude that the gender

variable and the favorable/unfavorable ratings variable are independent?

That is, is there no association between the male and female responses of

favorable or unfavorable?

Solution:

(c) From part (a), the distributions of gender of the student were

conditioned on the ratings. From the computed conditional distributions for

gender, we see that the values are the same for the male classification for

both the favorable and unfavorable classifications. Also, for the female

classification, the conditional distributions are the same. Based on the

definition of independence for contingency tables, one will conclude that

there is no association between the gender of the students and their responses

of favorable or unfavorable. That is, these variables are independent of each

other.

Click here for the Contingency Table Workbook