Reference no: EM13805431

1. The goodness of fit test determines if a data set distribution/shape matches a standard or hypothesized distribution.

True

False

Question 2.  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.

True

False
Question 3. For a one sample confidence interval, the interval is calculated around the calculated sample mean (m).
True

False
Question 4.The Chi-square test can be performed on categorical (nominal) level data.
True

False
Question 5. Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests.
True

False
Question 6. Chi-square tests are parametric in nature - requiring data that fit a specific distribution/shape.
True

False
Question 7. Chi-square tests rarely have type I errors.
True

False
Question 8. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (μm ).
True

False
Question 9. The Chi-square test measures differences in frequency counts rather than differences in size (such as the t-test and ANOVA).
True

False
Question 10. 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).

True

False