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

Question 1. 1. In confidence intervals, the width of the interval depends only on the variation within the data set. (Points : 1) True False Question 2. 2. Chi-square tests rarely have type I errors. (Points : 1) True False Question 3. 3. Confidence intervals provide an indication of how much variation exists in the data set. (Points : 1) True False Question 4. 4. The percent confidence interval is the range having the percent probability of containing the actual population parameter. (Points : 1) True False Question 5. 5. The goodness of fit test requires the expected distribution to be equally distributed across the categories. (Points : 1) True False Question 6. 6. The goodness of fit test determines if a data set distribution/shape matches a standard or hypothesized distribution. (Points : 1) True False Question 7. 7. 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 8. 8. The goodness of fit test null hypothesis states that the sample data does not match an expected distribution. (Points : 1) True False Question 9. 9. The Chi-square test results having expected values of less than 5 in a cell may produce a greater likelihood of having type I errors (wrongly rejecting the null hypothesis). (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

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