The weights of the people in a certain population are normally distributed, with a mean of 150 pounds and a standard deviation of 30 pounds. Let X be the weight of a randomly selected person. Match each probability below with the R-code that computes it. Group of answer choices from the choice attached in the attached picture place the right answer next to each number problem: (1) P(X > 180) (2) P(130 < X < 180) (3) P(X <= 180) (4) P(X <= 130 or X > 180)
The weights of the people in a certain population are normally distributed, with a mean of 150 pounds and a standard deviation of 30 pounds. Let X be the weight of a randomly selected person. Match each probability below with the R-code that computes it. Group of answer choices from the choice attached in the attached picture place the right answer next to each number problem: (1) P(X > 180) (2) P(130 < X < 180) (3) P(X <= 180) (4) P(X <= 130 or X > 180)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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The weights of the people in a certain population are normally distributed , with a mean of 150 pounds and a standard deviation of 30 pounds. Let X be the weight of a randomly selected person. Match each probability below with the R-code that computes it.
Group of answer choices from the choice attached in the attached picture place the right answer next to each number problem:
(1) P(X > 180)
(2) P(130 < X < 180)
(3) P(X <= 180)
(4) P(X <= 130 or X > 180)
![V [ Choose ]
pnormGC (180,mean=150,sd=30,region="above")
pnormGC (c(130,180),mean=150,sd=30,region="outside")
pnormGC(180,mean=150,sd=D30,region="below")
pnormGC(c(130,180),mean=150,sd=30,region="between")](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0f2d1468-84a0-4e8f-b199-f4c393b96b28%2Fdeb3b81c-7b5a-405d-9067-157e2651d75a%2Fz31pqy_processed.png&w=3840&q=75)
Transcribed Image Text:V [ Choose ]
pnormGC (180,mean=150,sd=30,region="above")
pnormGC (c(130,180),mean=150,sd=30,region="outside")
pnormGC(180,mean=150,sd=D30,region="below")
pnormGC(c(130,180),mean=150,sd=30,region="between")
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