Bus 308 - Week 4 Quiz
1. Question : The goodness of fit test null hypothesis states that the sample data does not match an expected distribution.
Student Answer: True
False

2. Question : For a two sample confidence interval, the interval shows the difference between the means.
Student Answer: True

False

3. Question : 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).
Student Answer: True
False

Question 4. Question : The probability that the actual population mean will be outside of a 98% confidence interval is
Student Answer: 1%
2%
4%

5%

Question 5. Question : The Chi-square test is very sensitive to small differences in frequency differences.
Student Answer: True
False

Question 6. Question : Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests.
Student Answer: True
False

Question 7. Question : Compared to the ANOVA test, Chi-Square procedures are not powerful (able to detect small differences).
Student Answer: True
False

Question 8. Question : Chi-square tests rarely have type I errors.
Student Answer: True
False

Question 9. Question : 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.
Student Answer: True
False
 
Question 10. Question : A confidence interval is generally created when statistical tests fail to reject the null hypothesis - that is, when results are not statistically significant.
Student Answer: True
False