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Please give explanation................................................. Multiple Choice. Select the best response 1. An estimator is said to be...
Please show the process................................. 11. Which of the following conditions does not allow you to use the formula Xtza to estimate u? a. b. C. d. Population is normally distributed and the population variance is known. Population is not normally distributed but n is large; population variance is known. Population has any distribution and n is any size. All of these choices allow you to use the formula 12. The larger the confidence level, the a. smaller the value of...
Please show the process 6. In developing an interval estimate for a population mean, the population standard deviation σ was assumed to be 10. The interval estimate was 50.92 2.14. Had ơ equaled 20, the interval estimate would be a. 60.92 t 2.14 b. 50.92 12.14 c. 101.84 4.28 d. 50.92t 4.28 7. If the confidence level is reduced, the confidence interval a. widens. b. remains the same. C. narrows. d. disappears. 8. The zal value for a 95% confidence...
QUESTION 21 If we change a 90% confidence interval estimate to a 99% confidence interval estimate while holding sample size constant, we can expect a. the width of the confidence interval to increase. b. the width of the confidence interval to decrease. c. the width of the confidence interval to remain the same. d. the sample size to increase. QUESTION 22 Which one of the following is a correct statement about the probability distribution of a t random variable? a....
12. As the number of degrees ot trdom ort d n s the the t distribution andd the standard nomal dist becomes larger b becomes smalter stays the same huctuates. d. 13. In interval esionation, thet distribution is applicatle ondy when a. the population has a mean of tess than 30 b. the sample standard deviation is used to estimate the population standard deviation the variance of the population is known d. the mean of the population is unknown. C....
10 In developing an interval estimate for a population mean, the population standard deviation o was assumed to be 10. The interval estimate was 50.92 2.14. Had o equaled 20, the interval estimate would be a. 60.92 + 2.14 b. 50.92 + 12.14 c. 101.84 + 4.28 \. 50.92 + 4.28
6. Consider the following sample: Xi = -2, X2 = 12. X7-1.5, Xs -0.5, a. Estimate the population mean, μ, using an analogical estimator. b. Estimate the population variance. ơ2, using a biased and an unbiased estimator. c. Assuming that the random sample is drawn from a normal population with known variance, σ2-4, construct a 95% confidence interval for the population mean. d. Assuming that the random sample is drawn from a normal population with unknown variance, σ2, construct a...
Please show your work........................... 16. The sample size needed to estimate a population mean to within 50 units was found to be 97. If the population standard deviation was 250, then the confidence level used was a. 90% b. 95% c. 9996 d. None of these choices.
MULTIPLE CHOICE (12 1.5 points) 1. A 90% tobo 98.6 to 118.4. If the couldence level is chang«I to95%, the cualiden" interval tr μ a. Becomes wider b. Remains unchanged c. Becomes narrower d. None of the above answers are correct 2. If the width of a confidence interval for μ is too narrow when the population standard deviation σ is known, which one of the following is the best action to increase the interval width? a. Reduce the sample...
1. A C level confidence interval is described as what? (3 points) Oan interval computed from a data sample by a method that has the probability C of producing an interval containing the true value of the parameter any interval within the margin of error O an interval with a margin of error C that is also correct C% of the time Oany interval that follows the 68-95-99.7 rules Oan interval computed from a data sample that guarantees that the...
For each problem, select the correct response. (a) What is the P-value of a test of the null hypothesis? A. The probability the null hypothesis is false B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed C. The probability the null hypothesis is true D. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as...