The Chi-Square Distribution (College Board AP® Statistics)
Study Guide
Written by: Naomi C
Reviewed by: Dan Finlay
Chi-square distributions
What is the chi-square distribution?
The chi-square distribution is a continuous probability distribution of the sum of the squares of independent variables
Each of these independent variables follows a standard normal disctribution
If a continuous random variable follows the chi-square distribution, then its shape will be:
positively-skewed
non-negative
Degrees of freedom ('dof') is a parameter that defines the shape of the chi-square distribution curve
The dof is the number of independent standard normal random variables,
The chi-square distribution curve approximates a normal curve more closely as the degrees of freedom increase
When is the chi-square distribution used?
The chi-square distribution is used for:
Goodness of fit tests
Tests of independence
Tests of homogeneity
How is a critical value found from the chi-square tables?
The chi-square tables are given to you in the exam
A critical value, , can be found from the chi-square tables
Find the row that corresponds to the number of degrees of freedom
Find the column that corresponds to the relevant significance level
The cell where these intersect contains the critical chi-square value,
Examiner Tips and Tricks
Don't get confused with all the tables in the exams!
Both the t-distribution table and the critical values table have an area to the right of the boundary shaded. Also, the different shapes of the distributions are shown above each table.
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