Quiz Multiple Choice

1. Chi-square tests rarely have type I errors. (Points : 1)

Question 2. 2. In confidence intervals, the width of the interval depends only on the variation within the data set. (Points : 1)

Question 3. 3. The goodness of fit test can be used for a single or multiple set (rows) of data, such as comparing male and female age distributions with an expected distribution at the same time. (Points : 1)

Question 4. 4. The goodness of fit test requires the expected distribution to be equally distributed across the categories. (Points : 1)

Question 5. 5. For a one sample confidence interval, the interval is calculated around the calculated sample mean (m). (Points : 1)

Question 6. 6. Chi-square tests are parametric in nature – requiring data that fit a specific distribution/shape. (Points : 1)

Question 7. 7. The probability that the actual population mean will be outside of a 98% confidence interval is (Points : 1)

Question 8. 8. Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests. (Points : 1)

Question 9. 9. If the confidence interval for mean differences contains a 0, the associated t-test would have shown a significant difference. (Points : 1)

Question 10. 10. The Chi-square test for independence needs a known (rather than calculated) expected distribution. (Points : 1)