Attitude Toward Violence | |||
Involvement | Favourable | Unfavourable | Totals |
Yes | 16 | 19 | 35 |
No Totals |
|
|
|
The chi square for this table is 0.23, which is not significant at the 0.05 level (confirm this with your own calculations). Undeterred by this result, the researcher proceeded with the project and gathered a random sample of 7000. In terms of percentage distributions, the results for the full sample were exactly the same as for the pretest:
Attitude Toward Violence | |||
Involvement | Favourable | Unfavourable | Totals |
Yes | 1600 | 1900 | 3500 |
No Totals |
|
|
|
However, the chi square obtained is a very healthy 23.4 (confirm with your own calculations). Why is the full-sample chi square significant when the pretest was not? What happened? Do you think that the second result is important?
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Check out a sample textbook solutionChapter 10 Solutions
Essentials Of Statistics
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill