QMS 102 Lecture Notes - Standard Normal Deviate, Standard Deviation, Normal Distribution

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: Jason Chin- Tiong Chan

Document Summary

Outcomes: reveal the characteristics of the normal distribution, recognize the standard normal distribution, calculate the normal probabilities. If the random variable x has a normal distribution with mean m deviation s. 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 ( Let x be a normal random variable with its mean equal to 12 and variance equal to 4. Determine the following probabilities: p ( b. p ( c. p ( Example3: what is the area under the normal curve between z = 2. 34 and z = 1. 45, what is the area under the normal curve between z = -9. 0 and z = 0, determine i. The recent average starting salary for new college graduates in marketing is ,000. An orange juice producer buys all his oranges from a large grove.