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20 Cards in this Set
- Front
- Back
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Categorial variables are:
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nominal or ordinal data
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WHat test allow you to determine whether or not two variables are associated in some way?
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Chi-square test of independence
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The classification tool that reveals various possibilities is called;
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contingency table
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What does the Chi-square test question?
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Where the two variables are associated in some way.. NOT why they are associated
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What does a significant association mean?
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Its an association that departs from chance
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What does it mean to say that two variables are associated?
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The pattern shows the association of two variables and that they represent a departure from chance
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In the Chi square test, there are NO statements about means being equal
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true
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What is an example null for chi ?
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Ho= there is no association between type of community and intention to vote
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If the pattern shows little departure from what we would expect by chance...then
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we fail to reject the null hypothesis. Aka we fail to reject the idea of no association between variables
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If pattern shows significant departure from what we would except, we..
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reject the null, meaning that some sort of association is going on between the variables
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The numbers in the cells of the contingency table are called:
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observed frequencies
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What do the frequencies ?
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MArginal totals
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The statement of frequency we would expect to find is called
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expected frequencies
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Expected frequency formula:
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Row total multiplied by the column total, divided by N
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The larger the difference between the observed value of chi-square means:
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the larger calculation value of chi-square
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df=
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(r-1) x (c-1)
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when we reject null,
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we reject the idea of no association between two variables type of community and intention to vote
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The idea that a given measurement or response on one variable causes a given response on another variable is called
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causation
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Small number of cases in chi test=
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bad news bears
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What is Yate's correction for coninuity?
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Decreasing the difference between the observed and expected frequencies by .5 in any cell
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