Concept explainers
Suppose that
Want to see the full answer?
Check out a sample textbook solutionChapter 4 Solutions
Introduction to Statistical Quality Control
Additional Math Textbook Solutions
Introductory Statistics
Elementary Statistics (13th Edition)
Intro Stats
Introductory Statistics
Probability and Statistics for Engineering and the Sciences
- Suppose that x,~ N(µ1, 0;²) and x2 ~ N(µ2, 02²), and that x, and x, are independent. Develop a procedure for constructing a 100(1 – a)% confidence interval on µ1 - H2, assuming that o and o, are unknown and cannot be assumed equal.arrow_forwardIf X₁, X2,..., Xn constitute a random sample of size n from an exponential population, show that X is a sufficient estimator of the parameter 0.arrow_forwardYou wish to test the following claim (HaHa) at a significance level of α=0.02α=0.02. Ho:p1=p2 Ha:p1>p2You obtain 336 successes in a sample of size n1=690n1=690 from the first population. You obtain 295 successes in a sample of size n2=714n2=714 from the second population. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value =arrow_forward
- 1. Let Y1, Y2, . . . , Yn ∼ (iid) Exp(γxi) where xi , i = 1, 2, . . . , n and the xi ’s are fixed and known. E[Yi ] = γxi . (a) Find the Maximum Likelihood Estimator for γ, call it ˆγMLE. (b) Is ˆγMLE unbiased? Given evidence to support your answer.arrow_forwardLet {X₁, X2,...,xn) and (Y₁, Y2...., Ym} be independent random samples from n(ux, o) and n(μy, o) respectively. Furthermore, it is known that co= do?, with o,and o are unknown parameters, and c, and d are known constants. (a) Construct a 100(1-a) % confidence interval for μx - Hy. (b) Suppose that c = 5, d = 6 and m = n, and the following independent random samples of X and Y are observed. X Y X Y X Y X Y 10.5 14.76 8 12.48 9.3 19.78 7.5 11.74 10.7 14.77 10.1 19.8 12.96 9.62 6.12 11.62 9.81 19.67 8.63 13.85 10.61 14.09 8.32 12.78 10.08 15.3 Assume that the maximum error = 0.5 for the 95% confidence interval needs to be achieved. Is the sample size large enough? If not, find the least sample size of m = n.arrow_forwardYou wish to test the following claim (HaHa) at a significance level of α=0.02α=0.02. Ho:p1=p2 Ha:p1<p2You obtain 87% successes in a sample of size n1=369 from the first population. You obtain 90.9% successes in a sample of size n2=287n2=287 from the second population. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null hypothesis accept the null hypothesis fail to reject the null hypothesis As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the first population proportion is less than…arrow_forward
- Suppose that Y₁, Y2, ..., Ym is a random sample of size m from Gamma (a = 3,ß = 0), where 0 is not known. Check whether or not the maximum likelihood estimator ê is a minimum variance unbiased estimator of the parameter 0.arrow_forwardLet X11 X12X1 and X21, X22X22 be two independent random samples of size n, and n₂ from two normal populations N(₁, 2) and N(2, 2) respectively. (d) Derive a (1-a) x 100% confidence interval for (₁-2) when both samples are small but of and of are known.arrow_forwardSuppose that Y₁, Y₂, ..., Ym is a random sample of size m from Gamma (a = 3, B = 0), where 0 is not known. Check whether or not the maximum likelihood estimator Ô is a minimum variance unbiased estimator of the parameter 8.arrow_forward
- John rejected a null hypothesis in a right-tailed test for a mean at alpha = 0.025 because the critical T value was 2.000 and his calculated T value was 2.345. We can be sure that: a.) John did not commit type 1 error B.) John committed neither type 1 nor type 11 error c.) none of the presented answers is correct because none can definitely be concluded d.) John did not commit type 11 errorarrow_forwardLet Y1, Y2, ..., Yn be a random sample with E(Y;) = µ and V (Y;) = o². Show that (Yi - is a biased estimator for o² and that (Y; – Y)² is an unbiased estimator for o².arrow_forward2. Two independent random samples from their respective populations of interest are selected. Assume the populations are normally distributed; assume that x = 75, s² = 25, and n = 20 characterize the first sample; assume that y 72, s²2 36, and m = 22 characterize the second sample; and assume o² o2 are unknown. = - (a) We wish to find a 98% confidence interval for μ₁ −μ2. Are all conditions met? If not, explain why. (b) Find the t critical number associated with a central 98% con- fidence interval. Hint: You may need a calculator to find the critical number. (c) Construct a central 98% confidence interval for µ₁ − μ₂.arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman