The following data are for 30 observations involving two categorical variables, x and y. The categories for x are A, B, and C; the categories for y are 1 and 2.
Observation | x | y | Observation | x | y | |
1 | A | 1 | 16 | C | 1 | |
2 | C | 2 | 17 | B | 2 | |
3 | C | 2 | 18 | C | 2 | |
4 | B | 1 | 19 | B | 2 | |
5 | C | 2 | 20 | C | 2 | |
6 | B | 1 | 21 | B | 1 | |
7 | C | 2 | 22 | C | 2 | |
8 | B | 1 | 23 | B | 1 | |
9 | A | 1 | 24 | A | 1 | |
10 | C | 2 | 25 | C | 2 | |
11 | A | 1 | 26 | B | 1 | |
12 | C | 2 | 27 | B | 1 | |
13 | B | 1 | 28 | A | 1 | |
14 | B | 1 | 29 | C | 2 | |
15 | B | 1 | 30 | C | 1 |
a). Develop a crosstabulation for the data, with x as the row variable and y as the column variable.
1 | 2 | Total | ||
A | 5 | 0 | 5 | |
x | B | 10 | 2 | 12 |
C | 2 | 11 | 13 | |
Total | 17 | 13 | 30 |
b) Row percentages:
y | ||||
1 | 2 | Total | ||
A | 5/5 = 100% | 0/5 = 0% | 100% | |
x | B | 10/12 = 83.3 % | 2/12 = 16.7% | 100% |
C | 2/13 = 15.4% | 11/13 = 84.6% | 100% |
c) Column percentages :
y | ||||
1 | 2 | |||
A | 5/17 = 29.4% | 0/13 = 0% | ||
x | B | 10/17 = 58.8% | 2/13 = 15.4% | |
C | 2/17 = 11.8% | 11/13 = 84.6% | ||
Total | 100% | 100% |
d) Category A values for x are always associated with category 1 values for y.
Category B values for x are usually associated with category 1 values for y.
Category C values for x are usually associated with category 2 values for y.
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