BUS 308 Week 4 Quiz

1. Compared to the ANOVA test, Chi-Square procedures are not powerful (able to detect small differences).

2. The percent confidence interval is the range having the percent probability of containing the actual population parameter

3. The distribution for the goodness of fit test equals k-1, where k equals the number of categories.

4. The Chi-square test can be performed on categorical (nominal) level data

5. A confidence interval is generally created when statistical tests fail to reject the null hypothesis – that is, when results are not statistically significant

6. In confidence intervals, the width of the interval depends only on the variation within the data set

7. For a two sample confidence interval, the interval shows the difference between the means.

8. If the confidence interval for mean differences contains a 0, the associated t-test would have shown a significant difference

9. Statistical significance in the Chi-square test means the population distribution (expected) is not the source of the sample (observed) data.

10. The Chi-square test is very sensitive to small differences in frequency differences.