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Frequency 113 83 108 81 60 39 23 22 Suppose we picked adolescent girl at random. Let på be the probability that the number of fruit servings per day of the girl is 1, p2 the probability that the number of fruit servings per day of the gi is more than 5, p3 the probability that the number of fruit servings per day of the girl is fewer than and p4 the probability that the number of fruit servings per day of the girl is between 3 and 6, inclusive. Then the P₁, P2, P3, and P4 are, respectively, (Choose one from the following which is closest to the correct answer.) O e. 0.1569, 0.0851, 0.7278, 0.2306. O b. 0.1569, 0.1588, 0.7278, 0.3837. O a. 0.1569, 0.0851, 0.7278, 0.3837. O c. 0.1569, 0.0851, 0.8412, 0.3837. d. 0.1569, 0.0851, 0.7278, 0.3403.

Frequency 113 83 108 81 60 39 23 22 Suppose we picked adolescent girl at random. Let på be the probability that the number of fruit servings per day of the girl is 1, p2 the probability that the number of fruit servings per day of the gi is more than 5, p3 the probability that the number of fruit servings per day of the girl is fewer than and p4 the probability that the number of fruit servings per day of the girl is between 3 and 6, inclusive. Then the P₁, P2, P3, and P4 are, respectively, (Choose one from the following which is closest to the correct answer.) O e. 0.1569, 0.0851, 0.7278, 0.2306. O b. 0.1569, 0.1588, 0.7278, 0.3837. O a. 0.1569, 0.0851, 0.7278, 0.3837. O c. 0.1569, 0.0851, 0.8412, 0.3837. d. 0.1569, 0.0851, 0.7278, 0.3403.

Calculus For The Life Sciences
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.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 85E
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A survey looked at the eating habits of adolescent girls. Let X be the number of fruit servings per day of a randomly picked adolescent girl. The following is the probability distribution of X. (Data are randomly generated) Number of fruit servings per day 0 1 2 3 4 5 6 7 Frequency 113 83 108 81 60 39 23 22 Suppose we picked adolescent girl at random. Let p₁ be the probability that the number of fruit servings per day of the girl is 1, p2 the probability that the number of fruit servings per day of the girl is more than 5, på the probability that the number of fruit servings per day of the girl is fewer than 4, and p4 the probability that the number of fruit servings per day of the girl is between 3 and 6, inclusive. Then the p₁, P2, P3, and på are, respectively, (Choose one from the following which is closest to the correct answer.) O e. 0.1569, 0.0851, 0.7278, 0.2306. O b. 0.1569, 0.1588, 0.7278, 0.3837. a. 0.1569, 0.0851, 0.7278, 0.3837. O c. 0.1569, 0.0851, 0.8412, 0.3837. d. 0.1569, 0.0851, 0.7278, 0.3403.
Transcribed Image Text:A survey looked at the eating habits of adolescent girls. Let X be the number of fruit servings per day of a randomly picked adolescent girl. The following is the probability distribution of X. (Data are randomly generated) Number of fruit servings per day 0 1 2 3 4 5 6 7 Frequency 113 83 108 81 60 39 23 22 Suppose we picked adolescent girl at random. Let p₁ be the probability that the number of fruit servings per day of the girl is 1, p2 the probability that the number of fruit servings per day of the girl is more than 5, på the probability that the number of fruit servings per day of the girl is fewer than 4, and p4 the probability that the number of fruit servings per day of the girl is between 3 and 6, inclusive. Then the p₁, P2, P3, and på are, respectively, (Choose one from the following which is closest to the correct answer.) O e. 0.1569, 0.0851, 0.7278, 0.2306. O b. 0.1569, 0.1588, 0.7278, 0.3837. a. 0.1569, 0.0851, 0.7278, 0.3837. O c. 0.1569, 0.0851, 0.8412, 0.3837. d. 0.1569, 0.0851, 0.7278, 0.3403.
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