QMS 102 Lecture Notes - Lecture 9: Standard Deviation, Random Variable, Minitab

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: Nursel Ruzgar

Document Summary

Continuous random variable - a variable that can assume any value on a continuum (can assume an uncountable number of values) thickness of an item time required to complete a task temperature of a solution. These can potentially take on any value depending only on the ability to precisely & accurately measure. Any normal distribution (with any mean & standard deviation combination) can be transformed into the standardized normal distribution (z) Need to transform x units into z units. The standardized normal distribution (z) has a mean of 0 & a standard deviation of 1. In most data sets, a large portion of the values tend to cluster somewhere near the median. In right-skewed data sets, this clustering occurs to the left of the mean, at a value less than the mean. In left-skewed data sets, the values tend to cluster to the right of the mean; greater than the mean.