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