Statistics quiz

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

Question 2. 2. The Chi-square test can be performed on categorical (nominal) level data. (Points : 1)

Question 3. 3. 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)

Question 4. 4. A contingency table is a multiple row and multiple column table showing counts in each cell. (Points : 1)

Question 5. 5. If the confidence interval for mean differences contains a 0, the associated t-test would have shown a significant difference. (Points : 1)

Question 6. 6. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (μm ). (Points : 1)

Question 7. 7. The percent confidence interval is the range having the percent probability of containing the actual population parameter. (Points : 1)

Question 8. 8. Chi-square tests rarely have type I errors. (Points : 1)

Question 9. 9. For a two sample confidence interval, the interval shows the difference between the means. (Points : 1)

Question 10. 10. The Chi-square test for independence is an extension of the goodness of fit test to see if multiple groups are distributed according to expected distributions for each variable. (Points : 1)