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10 Cards in this Set
- Front
- Back
Chi-squared statistic (X2): is a statistic that .......... the difference between the .......... data and what would be ................ if the two variables were independent
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estimates, observed, expected
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Chi-sq = the sum of (...-E)sq/....
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O, E
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The degrees of freedom (df) = (r-1)(c-1). Where r is the # of ...... and c is the number of..............
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rows, columns
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Adjusted standardised residuals: are residual that are standardised so as to be equivalent to a ..-score in a .................. distribution.
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z, normal
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In a normal distribution a Z-score above...... is large
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2
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If the chi-sq statistic is large enough there is evidence that the two variables are NOT .................. but are ...................
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independent, associated
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we can draw conclusions about associations between c........... variables, using ....... hypothesis significance testing
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categorical, null
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If X2 is large enough here is evidence to reject the?
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null hypothesis
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if the probability of X2 is less than 0.....reject the null hypothesis. if you reject the nh you have evidence for an ................. btwn the two variables
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0.05, association
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adjusted standardised residuals permit one to draw inferences about the ............... of any .............. association
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direction, significant
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