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SOC202 Chapter Ten
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- 1Bivariate TablesTwo different variables at the same time
- 2Two variables are independent if theclassification of a case into a particular category of one variable has no effect on the probability that the case will fall into any particular category of the second variable
- 3Null hypothesis =variables are independent
- 4Expected frequencies are compared toobserved frequencies
- 5If the null hypothesis is truethen there should be little difference between the expected and observed frequencies
- 6If the null is false, there should belarge differences between the two
- 7The greater the differences between expected and observed frequencies,the less likely the variables are independent and the more likely we will be able to reject the null hypothesis
- 8If the test statistic falls into the critical regionthen we reject the null hypothesis of independence
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- Fichas sobre SOC202 Chapter Ten, creado por megan.hooper87 el 09/04/2016.
- Creado por
- megan.hooper87 · abr 2016
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- 13 abr 2016
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