Question 1. The percent confidence interval is the range having the percent probability of containing the actual population parameter.TrueFalseQuestion 2. 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.TrueFalseQuestion 3. A contingency table is a multiple row and multiple column table showing counts in each cell.TrueFalseQuestion 4. Statistical significance in the Chi-square test means the population distribution (expected) is not the source of the sample (observed) data.TrueFalseQuestion 5. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval.TrueFalseQuestion 6. If the confidence interval for mean differences contains a 0, the associated t-test would have shown a significant difference.TrueFalseQuestion 7. The Chi-square test can be performed on categorical (nominal) level data.TrueFalseQuestion 8. 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.TrueFalseQuestion 9. In confidence intervals, the width of the interval depends only on the variation within the data set.TrueFalseQuestion 10Confidence intervals provide an indication of how much variation exists in the data set.TrueFalse
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