Term
| independent samples t tests |
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Definition
| examine differences between 2 independent groups. |
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Term
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Definition
| another way to determine if there is a significant difference between the two means is if 0 falls between the two intervals. If 0 falls between the two intervals there is no significant difference. If 0 does not fall between the two intervals we do have a significant difference. |
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Term
| Between treatment variability |
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Definition
there are 3 sources of between treatment variability:
1. the treatment effect
2. individual differences
3. error |
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Term
| within-treatments variability |
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Definition
variability within each treatment group. two sources of within treatment variability.
1. individual differences
2. error |
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Term
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Definition
consists of:
between treatments variability
within treatments variability |
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Term
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Definition
F = treatment effect + individual differences + error
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individual differences + error
If there is no between groups effect, we would expect the F ratio to equal 1. But if the treatment made a difference, the numerator will be larger than the denominator and the F ratio will be greater than 1. |
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Term
| degrees of freedom (ANOVA) |
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Definition
one value associated with numerator one value associated with denominator.
degrees of freedom = between groups variance
degrees of freedom associated with denominator = within groups variance |
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