BUS 308 Week 4 Quiz New
Question 1. Question : The goodness of fit test null hypothesis states that the sample data does not match an expected distribution.
Question 2. Question : Statistical significance in the Chi-square test means the population distribution (expected) is not the source of the sample (observed) data.
Question 3. Question : 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.
Question 4. Question : The null hypothesis for the test of independence states that no correlation exists between the variables.
Question 5. Question : For a one sample confidence interval, the interval is calculated around the calculated sample mean (m).
Question 6. Question : 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.
Question 7. Question : The distribution for the goodness of fit test equals k-1, where k equals the number of categories.
Question 8. Question : Chi-square tests rarely have type I errors.
Question 9. Question : Confidence intervals provide an indication of how much variation exists in the data set.
Question 10. Question : The Chi-square test is very sensitive to small differences in frequency differences.
Question 1. Question : The goodness of fit test null hypothesis states that the sample data does not match an expected distribution.
Question 2. Question : Statistical significance in the Chi-square test means the population distribution (expected) is not the source of the sample (observed) data.
Question 3. Question : 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.
Question 4. Question : The null hypothesis for the test of independence states that no correlation exists between the variables.
Question 5. Question : For a one sample confidence interval, the interval is calculated around the calculated sample mean (m).
Question 6. Question : 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.
Question 7. Question : The distribution for the goodness of fit test equals k-1, where k equals the number of categories.
Question 8. Question : Chi-square tests rarely have type I errors.
Question 9. Question : Confidence intervals provide an indication of how much variation exists in the data set.
Question 10. Question : The Chi-square test is very sensitive to small differences in frequency differences.
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