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

1. The Chi-square test is very sensitive to small differences in frequency differences. (Points : 1) True False Question 2. 2. The probability that the actual population mean will be outside of a 98% confidence interval is (Points : 1) 1% 2% 4% 5% Question 3. 3. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval. (Points : 1) True False Question 4. 4. For a two sample confidence interval, the interval shows the difference between the means. (Points : 1) True False Question 5. 5. The Chi-square test for independence needs a known (rather than calculated) expected distribution. (Points : 1) True False Question 6. 6. For a one sample confidence interval, if the interval contains the μm , the corresponding t-test will have a statistically significant result – rejecting the null hypothesis. (Points : 1) True False Question 7. 7. 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) True False Question 8. 8. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (μm ). (Points : 1) True False Question 9. 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. (Points : 1) True False Question 10. 10. A confidence interval is generally created when statistical tests fail to reject the null hypothesis – that is, when results are not statistically significant. (Points : 1) True False