BUEC 232 Lecture Notes - Lecture 6: Probability Plot, Probability Distribution, Mathematical Constant

• School: Simon Fraser University
• Department: Business Economics
• Course: BUEC 232
• Professor: all

Document Summary

Lecture 6 the normal distribution & other continuous. These can potentially take on any degree of precision, depending only on the ability to measure accurately. Bell-shaped": symmetrical, mean, median and mode are equal. Location is determined by the mean, : spread is determined by the standard deviation, , the random variable has an infinite range: + to . The formula for the normal probability density function is f(x) X = any value of the continuous variable. The standardized normal (z) distribution: mean ( )= 0, standard deviation ( ) = 1. The z value is equal to the difference between x and the mean , divided by the standard deviation . X is the value of any particular observation. Is the standard deviation of the distribution. The formula for the standardized normal probability density function is f(z) Where e = the mathematical constant approximated by 2. 71828. = the mathematical constant approximated by 3. 14159.