MATH 1P98 Lecture Notes - Lecture 12: Variance, Squared Deviations From The Mean, Frequency Distribution

• School: Brock University
• Department: Mathematics and Statistics
• Course: MATH 1P98
• Professor: Susanna Spektor

Document Summary

A distribution obtained from the multiplying the ratio of sample variance to population variance by the degrees of freedom when random samples are selected from a normally distributed population. Data arranged in table form for the chi-square independence test. A test to see if a sample comes from a population with the given distribution. A test to see if the row and column variables are independent. The chi-square ( of the ratio of the sample variance and population variance multiplied by the degrees of freedom. This occurs when the population is normally distributed with population variance sigma^2. Properties of the chi-square: chi-square is non-negative. Look up this area for the right critical value and one minus this area for the left critical value. When the degrees of freedom aren"t listed in the table, there are a couple of choices that you have: you can interpolate.