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Point estimates provide less confidence in indicating a parameter?s value than a confidence interval

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Question;1. Point estimates provide less confidence in indicating a parameter?s value than a confidence interval. TrueFalse;2. Confidence intervals provide an indication of how much variation exists in the data set. TrueFalse;3. The probability that the actual population mean will be outside of a 98% confidence interval is 1%2%4%5%;4. The Chi-square test measures differences in frequency counts rather than differences in size (such as the t-test and ANOVA). TrueFalse;5. Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests. TrueFalse;6. A contingency table is a multiple row and multiple column table showing counts in each cell. TrueFalse;7. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (?m). TrueFalse;8. In confidence intervals, the width of the interval depends only on the variation within the data set. TrueFalse;9. 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. TrueFalse;10. The Chi-square test is very sensitive to small differences in frequency differences. TrueFalse

 

Paper#62409 | Written in 18-Jul-2015

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