Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. n = 60, p=0.2, and X = 25 VUIT EIV TIVE ... VII ppi pinuniy. A. Yes, the normal distribution can be used because np(1-p) < 10. B. No, the normal distribution cannot be used because np(1-p) < 10. C. Yes, the normal distribution can be used because np(1-p) ≥ 10. D. No, the normal distribution cannot be used because np(1-p) ≥ 10. Approximate P(X) using the normal distribution. Use a standard normal distribution table. Select the correct choice below and fill in any answer boxes in your choice. A. P(X)= (Round to four decimal places as needed.) B. There is no solution. By how much do the exact and approximated probabilities differ? Select the correct choice below and fill in any answer boxes in your choice. OA. (Round to four decimal places as needed.) B. There is no solution.
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. n = 60, p=0.2, and X = 25 VUIT EIV TIVE ... VII ppi pinuniy. A. Yes, the normal distribution can be used because np(1-p) < 10. B. No, the normal distribution cannot be used because np(1-p) < 10. C. Yes, the normal distribution can be used because np(1-p) ≥ 10. D. No, the normal distribution cannot be used because np(1-p) ≥ 10. Approximate P(X) using the normal distribution. Use a standard normal distribution table. Select the correct choice below and fill in any answer boxes in your choice. A. P(X)= (Round to four decimal places as needed.) B. There is no solution. By how much do the exact and approximated probabilities differ? Select the correct choice below and fill in any answer boxes in your choice. OA. (Round to four decimal places as needed.) B. There is no solution.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
Problem 61CR
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