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Definition
A test used to evaluate how closely observed results fit expectations. |
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procedure for doing a chi-square test |
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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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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) |
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Statistical significance (p). |
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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 |
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alternative hypothesis (HA) |
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Definition
hypothesis that states that there is a difference between observed and expected |
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when to accept the null hypothesis |
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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 |
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Definition
when X2 is not within the range on the table for the degree of freedom |
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Definition
basically a table that shows relationship between two events |
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The Null Hypothesis for a contingency table |
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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 |
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Definition
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how to calculate expected numbers in a contingency table |
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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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how to calculate d.f. in a contingency table |
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Definition
(# of R's - 1) * (# of C's - 1) = d.f. |
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