In statistical analysis, what does the confidence level of a confidence interval represent? Group of answer choices The level of significance in rejecting the null hypothesis The probability that the null hypothesis is true The level of confidence in the interval capturing the true parameter The probability that the alternative hypothesis is true
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A confidence interval is a range of values derived from sample data that is likely to contain the true population parameter (like a mean or proportion). Show more…
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In a hypothesis test, the probability, computed assuming the null hypothesis is true, that the test statistic would take a value as extreme or more extreme than that actually observed is called what? a. the confidence level b. the alpha level (a) c. the alternative hypothesis d. the p-value e. None of the above. 2. In testing a hypothesis, if the consequences of rejecting the null hypothesis are very serious, what should we do? a. construct a 95% confidence interval rather than test a hypothesis. b. use a small level of significance (i.e., a). c. insist that the p-value be smaller than the level of significance. d. insist that the level of significance be smaller than the p-value. e. None of the above. 3. In computing a confidence interval, what happens to the margin of error if the confidence level remains the same, but the sample size is increased? a. it gets smaller. b. it gets larger. c. it remains the same. d. we cannot determine this without knowing s. e. None of the above.
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26. Which p-value from a two-way ANOVA table indicates an effect that is not statistically significant? Group of answer choices 0.110 0.047 0.011 0.000 27. The alternative hypothesis is also known as the _____ hypothesis Group of answer choices null elective optional research 28. A 90% confidence interval can be used to reject the null hypothesis of a two-sided test at the 10% significance level if and only if Group of answer choices the null hypothesis includes sampling error is greater than 0.05. a 90% confidence interval includes the hypothesized value of the parameter a 90% confidence interval does not include the hypothesized value of the parameter. the null hypothesis is less than 0.05. 29. Which of the following statements is correct? Group of answer choices A confidence interval is an estimate of the range for a sample statistic A confidence interval is an estimate of the range of possible values for a population parameter A confidence interval describes a range of values that will always include the actual population parameter A confidence interval describes a range of values that is likely not to include the actual population parameter 31. When computing a confidence interval, the difference between the stated level of confidence and "perfect confidence" of 100 percent is the Group of answer choices measurement error level of expected error standard error level of significance
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