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

Question # 00008585
Subject: Statistics
Due on: 02/17/2014
Posted On: 02/17/2014 01:36 AM

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1. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval.
True
False

2. Confidence intervals provide an indication of how much variation exists in the data set.
True
False

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).
True
False

5. Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests.
True
False

6. A contingency table is a multiple row and multiple column table showing counts in each cell.
True
False

7. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (?m ).
True
False

8. In confidence intervals, the width of the interval depends only on the variation within the data set.
True
False

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.
True
False

10. The Chi-square test is very sensitive to small differences in frequency differences.
True
False

Tags confidence value interval parameters indicating provide point estimates confidence interval differences test rejecting null chisquare tests population mean means frequency table counts data provide multiple intervals hypothesis variation standard truefalse7 estimated column showing sample cell calculated truefalse9 truefalse10

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Tutorial Preview …be xxxxxxx of x 98% confidence xxxxxxxx is1%2%4%5%4 The xxxxxxxxxx test xxxxxxxx xxxxxxxxxxx in xxxxxxxxx counts rather xxxx differences in xxxx (such xx xxx t-test xxx ANOVA) TrueFalse5 xxxxxxxxxx tests are xxxx likely xx xxxx…
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