Chi Square Vocab

This type of chi-square test is used when a single random sample is taken from a set of data. The test is used to determine if a population distribution is different than a hypothesized distribution.

The actual number of observations that fall into a certain category in the frequency table.

This type of chi-square test is used when a single random sample of two characteristics is taken from a single population. The test is used to determine if there is an association between the characteristics.

In a two-way frequency table, the name given to the row total and the column totals.

For the chi-square test for goodness of fit, these are the values of the hypothesized distribution. For the chi-square tests for homogeneity and independence, these are calculated by multiplying the row total and the column total in the two way table, then dividing by the grand total.

The formula to calculate this statistic is sum((observed-expected)^2/expected)

This type of frequency table describes bi variate categorical data and is used for chi-squared tests for homogeneity and independence.

For the goodness of fit test, is it calculated by number of categories - 1. For the test for homogeneity and independence, it is calculated by (number of rows - 1)(numbers of columns - 1).

When the chi-square statistic from the data is greater than the chi squared _______ for the given degrees of freedom, the null hypothesis is rejected.

This type of frequency table describes uni-variate categorical data and is used for chi-square tests for goodness of fit.

This type of chi-square test is used when independent random samples are taken from different populations. The test is used to determine if values are statistically different from populations.

The total number of observations.