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Willard Ch 15
Stat Ch 15
| Term | Definition |
|---|---|
| parametric tests | Statistical procedures that test hypotheses about populations and which require that certain assumptions are met. |
| nonparametric tests | Statistical procedures that can be used when the assumptions of parametrical procedures cannot be met |
| observed frequencies | The actual frequency count of subjects that fall into each category in a chi-square study. |
| expected frequencies | The frequency values that would be expected if the null hypothesis of a chi-square study were true. |
| Chi-square is appropriate | for nominal and ordinal data that take the form of frequency counts. When parametric assumptions cannot be met. A seriously skewed population distribution. |
| goodness of fit | Chi-square test that examines how well the frequencies observed in a sample match the frequencies that would be expected if the null hypothesis were true. |
| Test of independence | Chi-square test that examines the frequencies for two variables to determine if they are independent of each other or if they are related. |
| Chi-square test assumptions | Independent observations: Each participant can contribute frequencies to only one category. Minimum size: The expected frequency for all categories should be minimum of 5. Using smaller frequencies has a disproportionate effect on value of chi-square. |
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rowaggerm
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