Ashford 5 : – Week 4 – Quiz

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