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22 Cards in this Set
- Front
- Back
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Decision errors
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Incorrect conclusion in hypothesis testing. Using right procedures, but get wrong decision.
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Type I Error
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When the null hypothesis is rejected but it is really true.
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Type II Errors
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Not rejecting the null hypothesis when it is actually false
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Alpha Symbol
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a
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Alpha
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Probability of making a type I error
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Beta (B)
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Probability of making a type II error
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Effect size
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Measure of differences in population means
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Effect size conventions
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Standard rules about what to consider a small, medium, and large effect size
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d
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Symbol for effect size
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Small
Medium Large effect sizes |
.20
.50 .80 |
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Meta analysis
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Combine results/ effect sizes from other studies
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Statistical power
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Probability that the study will give a significant result if research hypothesis is true.
Study will yield a significant result. |
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Power table
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Shows statistical powers of a study for various effect sizes and sample sizes
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Caculate effect size
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Difference between the means, divided by population standard deviation
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Ways to in increase effect size
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Increasing predicted difference between population means
decreasing population standard deviation increase sample size use a less extreme level of significance use a more sensitive hypothesis testing procedure Or use a onetailed test |
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Power
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Ability to reject the null hypothesis
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Degrees of freedom symbol
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df
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Degrees of freedom formula
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N-1=
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When would you use the t test
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For dependant means
took test more than once |
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T test
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Population variance is unknown
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Change score/difference score
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Psychologist create a single score for each client
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repeated measure design
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Used in t test for dependent means
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