Question 1. 1.
Point estimates provide less confidence in indicating a parameter's value than a confidence interval.
True
False
Question 2. 2.
The goodness of fit test determines if a data set distribution/shape matches a standard or hypothesized distribution.
True
False
Question 3. 3.
Compared to the ANOVA test, Chi-Square procedures are not powerful (able to detect small differences).
True
False
Question 4. 4.
In confidence intervals, the width of the interval depends only on the variation within the data set.
True
False
Question 5. 5.
The goodness of fit test null hypothesis states that the sample data does not match an expected distribution.
True
False
Question 6. 6.
The Chi-square test for independence needs a known (rather than calculated) expected distribution.
True
False
Question 7. 7.
If the confidence interval for mean differences contains a 0, the associated t-test would have shown a significant difference.
True
False
Question 8. 8.
Chi-square tests are parametric in nature - requiring data that fit a specific distribution/shape.
True
False
Question 9. 9.
The goodness of fit test requires the expected distribution to be equally distributed across the categories.
True
False
Question 10. 10.
For a two sample confidence interval, the interval shows the difference between the means.
True
False