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22 Cards in this Set
- Front
- Back
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null hypothesis
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hypothesis that shows no statistical difference
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one tailed V. two tailed
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we use a two tailed test when we do not have any predictions about the test
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beta error
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error that comes from lowering the alpha levels
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power
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(1-B)
larger sample size the more power correctly rejecting a false null hypothesis |
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standard error of the mean
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used in a z test
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critical z values
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one tailed: 1.65, 2.33
two tailed: 1.96, 2.58 |
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standard error of the difference between means
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used in a dependent t test
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two samplease independent t test
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two means are independent from each other
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scheffe and tukey tests
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these are types of POST HOC tests
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ANOVA
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interested in two different variances
both are estimates of a population variance |
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F statistic
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the closer F is to 1, the more likely it is to retain the null hypothesis
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dfw
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N-K where N is the total sample size
K is the number of groups |
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dsb
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K-1
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contigency table
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a table of observed frequencies categorized along two variables
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4 limitations of a Pearson correlation
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1. correlations are not proportions
2. only measures linear relationships 3. sensitive to range of scores 4. cannot infer causality |
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scatter plot
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plotted frequencies within a graph
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line of best fit
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line that fits all the points in a linear regression
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r^2
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coefficient of determination
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k^2
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coefficient of non determination
shows what is not accounted for |
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X
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independent variable
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Y
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dependent variable
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y hat
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predicted score
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