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Question 1. 1. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval. (Points : 1)
True
False

Question 2. 2. The goodness of fit test determines if a data set distribution/shape matches a standard or hypothesized distribution. (Points : 1)
True
False

Question 3. 3. Compared to the ANOVA test, Chi-Square procedures are not powerful (able to detect small differences). (Points : 1)
True
False

Question 4. 4. In confidence intervals, the width of the interval depends only on the variation within the data set. (Points : 1)
True
False

Question 5. 5. The goodness of fit test null hypothesis states that the sample data does not match an expected distribution. (Points : 1)
True
False

Question 6. 6. The Chi-square test for independence needs a known (rather than calculated) expected distribution. (Points : 1)
True
False

Question 7. 7. If the confidence interval for mean differences contains a 0, the associated t-test would have shown a significant difference. (Points : 1)
True
False

Question 8. 8. Chi-square tests are parametric in nature – requiring data that fit a specific distribution/shape. (Points : 1)
True
False

Question 9. 9. The goodness of fit test requires the expected distribution to be equally distributed across the categories. (Points : 1)
True
False

Question 10. 10. For a two sample confidence interval, the interval shows the difference between the means. (Points : 1)
True
False

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Quiz 4 | Complete Solution
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• Submitted On 16 Apr, 2015 08:58:54
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Question 1. 1. Point estimates provide less confidence in indicating a parameterâ€™s value than a confidence interval. (Points : 1) True False Question 2. 2. The goodness of fit test determines if a data set distribution/shape matches a standard or hypothesized distribution. (Points : 1) True False Question 3. 3. Compared to the ANOVA test, Chi-Square procedures are not...
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