A simple random sample of size n= 64 is obtained from a population with u = 77 and o = 16. (a) Describe the sampling distribution of x. (b) What is P (x> 79.5) ? (c) What is P (xs72.9)? (d) What is P (75.9 79.5) =O (Round to four decimal places as needed.) (c) P (xs72.9) = (Round to four decimal places as needed.) %3D (d) P (75.9
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Q: A simple random sample of size n=81 is obtained from a population that is skewed right with μ = 83…
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- Suppose a simple random sample of size n = 40 is obtained from a population with μ = 68 and o = 17. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution x. (b) Assuming the normal model can be used, determine P(x <71.1). (c) Assuming the normal model can be used, determine P(x270.1). Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). (a) What must be true regarding the distribution of the population? A. Since the sample size is large enough, the population distribution does not need to be normal. OB. The population must be normally distributed. OC. The population must be normally distributed and the sample size must be large. OD. There are no requirements on the shape of the distribution of the population. Assuming the normal model…A sample of 25 pieces of laminate used in the manufacture od circuit boards was selected and the amount of warpage (in.) under particular conditions was determined for each piece, resulting in a sample mean warpage of .0635 and a sample standard deviation of .0065. A- calculate a prediction for the amount of warpage of a single piece of laminate in a way that provides information about precision and reliability. B- calculate an interval for which you can have a high degree of confidence that at least 95% of all pieces of laminate result in amounts of warpage that are between the two limits of the interval.Suppose a simple random sample of size n= 39 is obtained from a population with µ = 62 and o = 19. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution x. (b) Assuming the normal model can be used, determine P(x<65.2). (c) Assuming the normal model can be used, determine P(x2 63.2). Click here to view the standard normal distribution table (page 1) Click here to view the standard normal distribution table (page 2). (a) What must be true regarding the distribution of the population? O A. The population must be normally distributed. O B. The population must be normally distributed and the sample size must be large. O C. Since the sample size is large enough, the population distribution does not need to be normal. O D. There are no requirements on the shape of the distribution of the population. Assuming the normal…
- Suppose a simple random sample of size n = 47 is obtained from a population with µ = 68 and o= 16. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution X. (b) Assuming the normal model can be used, determine P(x<71.5). (c) Assuming the normal model can be used, determine P(x ≥ 70.2). Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). Assuming the normal model can be used, describe the sampling distribution X. O A. Approximately normal, with μ = 68 and o= Approximately normal, with = 68 and o- = μx ox 16 √47 (b) P(x < 71.5)= (c) P(x ≥ 70.2) = 47 √16 O B. O c. Approximately normal, with μ = 68 and o- = 16 x (Round to four decimal places as needed.) (Round to four decimal places as needed.)Suppose a simple random sample of size n=64 is obtained from a population with μ=83 and σ=16. (a) Describe the sampling distribution of x. (b) What is P x>86.7? (c) What is P x≤78.3? (d) What is P 80.8<x<86.9?Suppose a simple random sample of size n = 125 is obtained from a population whose size is N = 30,000 and whose population proportion with a specified characteristic is p = 0.6
- A simple random sample of size n = 64 is obtained from a population that is skewed right with µ = 84 and o = 8. (a) Describe the sampling distribution of x. (b) What is P (x>85.45) ? (c) What is P (x≤81.95) ? (d) What is P (82.6585.45) : = (Round to four decimal places as needed.) (c) P (x≤81.95) = (Round to four decimal places as needed.) (d) P (82.65Suppose a simple random sample of size n=10 is obtained from a population with μ=68 and σ=19. Answer a-c (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution x. (b) Assuming the normal model can be used, determine P(x<71.1). (c) Assuming the normal model can be used, determine P(x≥69.2).A simple random sample of size n=49 is obtained from a population with μ=85 and σ=28. (a) What is P x>92.2? (b) What is P x≤75.6? (c) What is P 79.8<x<93?A simple random sample of size n = 49 is obtained from a population that is skewed right with μ= 84 and o= 7. (a) Describe the sampling distribution of x. (b) What is P (x>85.05) ? (c) What is P (x≤82) ? (d) What is P (83.2A simple random sample of size n=81is obtained from a population with μ=82 and σ=36. (a) Describe the sampling distribution of x. (b) What is P x>86.4? (c) What is P x≤73.6? (d) What is P 77.4<x<90.2?Recommended textbooks for youMATLAB: 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 LearningElementary 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. FreemanMATLAB: 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 LearningElementary 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