1. A study using the chi-square test of independence has 4 categories of one variables and 2 categories for its other variable. What are the degrees of freedom for the study?
1. A study using the chi-square test of independence has 4 categories of one variables and 2 categories for its other variable. What are the degrees of freedom for the study?
2. If a chi-square goodness of fit test ends in a non-significant result it means that the expected frequencies are significantly different than the observed frequencies. True or False
3. Which of the following are the assumptions that must be met when running either chi-square equation?
| a |
observations must be independent and expected frequencies must be larger than five |
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| b |
data must be |
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| c |
observations must be independent and data must be normally distributed |
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| d |
data must be normally distributed and expected frequencies must be larger than five |
4. What does the chi-square goodness of fit test for?
| a |
how good the data fits the standard deviation |
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| b |
how good the data fits the normal curve |
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| c |
how good the data fits our hypothesis |
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| d |
how good the data fits the standard error of the mean |
5. What does it mean to have nonparametric data?
| a |
a data set that is not assumed to be normally distributed |
|
| b |
a data set that is made from ratio data |
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| c |
a data set that is made from interval data |
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| d |
a data set has a uniform rectangular shape |
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