Consider a normal population with μ = 37 and σ = 4.3. Calculate the z-score for an x of 48.5 from a sample of size 11. (Give your answer correct to two decimal places.)
You may need to use the appropriate table in Appendix B to answer this question.
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Consider a normal population with μ = 37 and σ = 4.3. Calculate the z-score for...
onsider a population with the following. μ = 46 and σ = 5.8 (a) Calculate the z-score for an x of 47.1 from a sample of size 41. (Give your answer correct to two decimal places.) (b) Could this z-score be used in calculating probabilities using Table 3 in Appendix B? Why or why not? You may need to use the appropriate table in Appendix B to answer this question.
Consider a normal population with the following. (Give your answers correct to two decimal places.) μ = 24.5 and σ = 4 (a) Calculate the z-score for an x of 21.5. (b) Calculate the z-score for an x of 21.5 from a sample of size 22. (c) Explain how 21.5 can have such different z-scores. x and x belong to the same distribution x and x belong to different distributions You may need to use the appropriate table in Appendix...
Consider a population with the following. μ = 49 and σ = 4.7 (a) Calculate the z-score for an x of 48.8 from a sample of size 32. (Give your answer correct to two decimal places.) (b) Could this z-score be used in calculating probabilities using Table 3 in Appendix B? Why or why not?
Consider a population with the following. μ = 35 and σ = 4.7 (a) Calculate the z-score for an x of 47.9 from a sample of size 43. (Give your answer correct to two decimal places.) (b) Could this z-score be used in calculating probabilities? Why or why not?
5. О-n0 points JKEStat11 E030 Consider a population with the following μ=38 and σ = 5 (a) Calculate the z score for an x of 48.9 from a sample of size 29. (Give your answer correct to two decimal places.) (b) Could this z-score be used in calculating probabilities using Table 3 in Appendix 8? Why or why not?
10. -10 points JKEStat11 7.E.048 Consider a normal population with the following. (Give your answers correct to two decimal places.) μ-24.6 and σ 4.8 (a) Calculate the z-score for an x of 21. (b) Calculate the z-score for an x of 21 from a sample of size 25. (c) Explain how 21 can have such different z-scores. O x and x belong to the same distribution O x and x belong to different distributions You may need to use the...
1) Consider a population with the following. μ = 35 and σ = 4.7 (a) Calculate the z-score for an x of 47.9 from a sample of size 43. (Give your answer correct to two decimal places.) (b) Could this z-score be used in calculating probabilities using Table 3 in Appendix B? Why or why not? (c) If α is assigned the value 0.001, what are we saying about the type I error? -very serious -somewhat serious -not at all...
Consider the approximately normal population of heights of male college students with mean μ = 67 inches and standard deviation of σ = 3.1 inches. A random sample of 16 heights is obtained. (a) Describe the distribution of x, height of male college students. skewed right approximately normal skewed left chi-square (b) Find the proportion of male college students whose height is greater than 67 inches. (Give your answer correct to four decimal places.) (c) Describe the distribution of x,...
Consider the approximately normal population of heights of male college students with mean μ = 72 inches and standard deviation of σ = 5 inches. A random sample of 22 heights is obtained. (a) Describe the distribution of x, height of male college students. skewed right approximately normal skewed left chi-square (b) Find the proportion of male college students whose height is greater than 73 inches. (Give your answer correct to four decimal places.) (c) Describe the distribution of x,...
Consider a normal population with the following. (Give your answers correct to two decimal places.) μ = 26 and σ = 4.6 (a) Calculate the z-score for an x of 20.9. (b) Calculate the z-score for an x of 20.9 from a sample of size 26. (c) Explain how 20.9 can have such different z-scores. x and x belong to the same distribution x and x belong to different distributions