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Bus 308 - Week 4 Quiz1. 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
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