MATH 1P98 Lecture Notes - Lecture 10: Standard Deviation, Variance, Bias Of An Estimator

• School: Brock University
• Department: Mathematics and Statistics
• Course: MATH 1P98
• Professor: Mark Willoughby

Document Summary

*sept 22-finish the experiential reflection and the team contract and confidentiality. Measures of variation: range, standard deviation, variance. Range: set of data values is the difference between the max data value and the min data value: range = (max data value) (min data value) Standard variation a set of sample values, denoted by s, is a measure of how much data values deviate away from the mean: notation s = sample standard deviation. = population standard deviation sample standard deviation o ( 2) sum up the squares of each individual data point. 2 sum up all individual data points and then square the sum. Range rule of thumb: a crude but simple tool for understanding the interpreting standard deviation. Range rule of thumb for estimating a value of the standard deviation . To roughly estimate the standard deviation from a collection of known sample data, use: s = (squiggly equal) range/4.