You can perform a chi-square goodness-of-fit test using the TI-82. Here are the steps.

- Enter the observed frequencies into List 1.
- Enter the expected frequencies into List 2.
- If you're given the expected frequencies, enter them into List 2.
- If you're given probabilities, then enter the probabilities into List
2 and multiply List 2 by the sum of List 1 and replace List 2 with that
product:
`sum L1 * L2 -> L2` - If you're testing that all categories appear with equal frequency, then
you can a) enter that value into List 2, or b) enter the total frequency
into each value of List 2 and then divide the list by the number of categories:
`L2 / k -> L2`(replace k by the number of categories), or c) enter 1 for each value in List 2 and then multiply the list by the common expected frequency:`L2 * E -> L2`(replace E by the expected frequency)

- Calculate the test statistic:
`sum ((L1 - L2)^2 / L2)`