QMS 230 Chapter Notes - Chapter 6: Normal Distribution, Standard Normal Deviate, Standard Deviation

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 230
• Professor: Douglas Mc Kessock

Document Summary

Outcomes: reveal the characteristics of the normal distribution, recognize the standard normal distribution, calculate the normal probabilities. Negative value (mean = 0) positive value (z value) Cqms204-statistics for management chapter6 the z values on the left side of the mean are negative the standard normal distribution table. If the random variable x has a normal distribution with mean m deviation s. , that are different from 0 and 1 respectively: convert the given normal distribution to the standard normal distribution, convert the random variable x to the standard normal variable z, using the equation and standard. = x z: thus, p(x < x) = p(z < z), where z is called the z-value. The process to change it from x value to z value is called transformation. Let x be a normal random variable with its mean equal to 40 and standard deviation equal to 5. )49: p ( b. p ( c. p (