Reference no: EM13924483

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