Transcription of Using R, Chapter 6: Normal Distributions pnorm and …
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1. Using R, Chapter 6: Normal Distributions The pnorm and qnorm functions. Getting probabilities from a Normal distribution with mean and standard deviation . pnorm (x, mean = , sd = , ). If x is a normally distributed random variable, with mean = and standard deviation = , then P (x < xmax ) = pnorm (xmax , mean = , sd = , ). P (x > xmin ) = pnorm (xmin , mean = , sd = , ). P (xmin < x < xmax ) = pnorm (xmax , mean = , sd = , ). - pnorm (xmin , mean = , sd = , ). Examples: Suppose IQ's are normally distributed with a mean of 100 and a standard deviation of 15. 1. What percentage of people have an IQ less than 125? pnorm (125, mean = 100, sd = 15, ) = .9522 or about 95%. 2. What percentage of people have an IQ greater than 110?
Using R, Chapter 6: Normal Distributions The pnorm and qnorm functions. Getting probabilities from a normal distribution with mean and standard deviation ˙ ... - pnorm(110, mean = 100, sd = 15, lower.tail=TRUE) = 0.2047 or about 20% Usage for the standard normal (z) distribution ( …
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