The width of a confidence interval depends on the size of the:Apopulation meanBmargin of errorCsample meanDnone of these

1. The width of a confidence interval depends on the size of the:Apopulation meanBmargin of errorCsample meanDnone of these2. A sample of size 74 from a population having standard deviation?= 53 produced a mean of 241.00.The 95% confidence interval for the population mean (rounded to two decimal places) is:The lower limit is _____The upper limit is _____3.The null hypothesis is a claim about a:Astatistic, where the claim is assumed to be false until it is declared trueBstatistic, where the claim is assumed to be true until it is declared falseCpopulation parameter, where the claim is assumed to be true until it is declared falseDpopulation parameter, where the claim is assumed to be false until it is declared true4. The alternative hypothesis is a claim about a:Apopulation parameter, where the claim is assumed to be true if the null hypothesis is declared falseBpopulation parameter, where the claim is assumed to be true until it is declared falseCstatistic, where the claim is assumed to be true if the null hypothesis is declared falseDstatistic, where the claim is assumed to be false until it is declared true5. In a one-tailed hypothesis test, a critical point is a point that divides the area under the sampling distribution of a:Apopulation parameter into two rejection regions and one nonrejection regionBstatistic into one rejection region and two nonrejection regionsCstatistic into one rejection region and one nonrejection regionDpopulation parameter into one rejection region and one nonrejection region6. In a two-tailed hypothesis test, the two critical points are the points that divide the area under the sampling distribution of a:Astatistic into two rejection regions and one nonrejection regionBpopulation parameter into one rejection region and one nonrejection regionCstatistic into one rejection region and two nonrejection regionsDpopulation parameter into two rejection regions and one nonrejection region7. In a hypothesis test, a Type I error occurs when:Aa false null hypothesis is not rejectedBa true null hypothesis is rejectedCa false null hypothesis is rejectedDa true null hypothesis is not rejected8. In a hypothesis test, a Type II error occurs when:Aa false null hypothesis is not rejectedBa false null hypothesis is rejectedCa true null hypothesis is not rejectedDa true null hypothesis is rejected9. In a hypothesis test, the probability of committing a Type I error is called the:Aconfidence levelBconfidence intervalCsignificance levelDbeta error