Term
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Definition
| The most common value (for variables measured at the nominal level.) |
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Term
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Definition
| The extent to which cases are spread out through the distribution or clustered in just one location. |
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Term
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Definition
| The extent to which cases are clustered at one end of the distribution rather than in a symmetric pattern. Positive (right skew) and negative (left skew.) |
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Term
| What does Pearson correlation (r) tell us? |
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Definition
1. The strength of the relationship (.10 = Small; .30 = Moderate; .50 = Strong.)
2. Direction of the relationship (either positive or negative.) |
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Term
| How is univariate (1) data analyzed? |
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Definition
1. Distributions
2. Central Tendencies
3. Variance |
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Term
| How is bivariate (2) data analyzed? |
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Definition
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Term
| How is multivariate (>3) data analyze? |
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Definition
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Term
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Definition
| There is no relationship between blank and blank in the population of blank. |
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Term
| Alternative/Research Hypothesis |
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Definition
| There is a statistically significant linear relationship between blank and blank in the population of blank. |
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Term
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Definition
| Used to test for differences among three or more independent groups. |
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Term
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Definition
Y = observed score on DV
a = intercept
b = slope
x = score on IV
e = epsilon or residual (stochastic error) |
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Term
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Definition
| Tells us the percent that can be explained. Exp: .769 means 77% of A can be interpreted by B. |
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Term
| Independent Samples T-test |
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Definition
| Compares means for two groups on some outcome |
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Term
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Definition
| The percent that reflects the chance for random error. Exp: 52% Agree, +/- 2% (AKA a CI of 4%) |
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Term
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Definition
| How confident we are in the data Exp: 95%, 99% CL |
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