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.jpg">1. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval.

True

False

2

. Confidence intervals provide an indication of how much variation exists in the data set

.True

False

3

. The probability that the actual population mean will be outside of a 98% confidence interval is

1%

2%

4%

5%

4

. The Chi-square test measures differences in frequency counts rather than differences in size (such as the t-test and ANOVA)

.True

False

5

. Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests

.True

False

6

. A contingency table is a multiple row and multiple column table showing counts in each cell

.True

False

7

. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (?m )

.True

False

8

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

.True

False

9

. While rejecting the null hypothesis for the goodness of fit test means distributions differ, rejecting the null for the test of independence means the variables interact

.True

False

10

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

.True

False

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