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 | Definition 
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        | Term 
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        | A test used to evaluate how closely observed results fit expectations. |  | 
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        | procedure for doing a chi-square test |  | Definition 
 
        | 1: State a null hypothesis (H0).
2: Calculate your test statistic (X2).
3: Degrees of freedom (df).
4: Statistical significance (p). |  | 
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        | Term 
 | Definition 
 
        | states that the observed results will be the same as the expected results 
 needs to be tested
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        | how to calculate the test statistic (X2) |  | Definition 
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        | Term 
 | Definition 
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        | Term 
 
        | Statistical significance (p). |  | Definition 
 
        | the probability, p of obtaining the observed results if the null hypothesis is true |  | 
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        | A generally accepted p for acceptance or rejection of a hypothesis |  | Definition 
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        | alternative hypothesis (HA) |  | Definition 
 
        | hypothesis that states that there is a difference between observed and expected |  | 
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        | when to accept the null hypothesis |  | Definition 
 
        | when X2 is within the range on the table for the degree of freedom |  | 
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        | when to reject the null hypothesis |  | Definition 
 
        | when X2 is not within the range on the table for the degree of freedom |  | 
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        | Term 
 | Definition 
 
        | basically a table that shows relationship between two events |  | 
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        | The Null Hypothesis for a contingency table |  | Definition 
 
        | to test whether the frequencies of observations in the rows are independent of the frequencies of the observations in the columns. |  | 
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        | example of a contingency table |  | Definition 
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        | Term 
 
        | how to calculate expected numbers in a contingency table |  | Definition 
 
        | here's an example: 
 (# of males / total population) * (# of specific variable) = expected number for that variable
 
 (# of females / total population) * (# of specific variable) = expected number for that variable
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        | Term 
 
        | how to calculate d.f. in a contingency table |  | Definition 
 
        | (# of R's - 1) * (# of C's - 1) = d.f. |  | 
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