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17 Cards in this Set
- Front
- Back
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1-way ANOVA: DFG =
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DFG = i - 1 |
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1-way ANOVA: DFE = |
DFE = n - i |
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1-way ANOVA: DFT = |
DFT = n-1
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2-way ANOVA: dfa = |
DFA = i - 1 |
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2-way ANOVA: DFB = |
DFB = j - 1 |
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2-way ANOVA: DFAB = |
DFAB = (i-1)x(j-1) |
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2-way ANOVA: DFE = |
DFE = n - ixj |
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2-way ANOVA: DFT = |
DFT = n-1 |
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Welke DF bij een contrast? |
DFE ( n - aantal groepen) |
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Welke df bij t-test correlatie? |
df = n - 2 |
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Lineaire regressie: DFM = ? |
DFM = p = aantal variabelen (bij enkelvoudige lineaire regressie is DFM dus 1) |
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Lineaire regressie: DFE = ? |
DFE = n-p-1 |
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Lineaire regressie: DFT = ? |
DFT = n - 1 |
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Lineaire regressie: MSE = ? |
Sp2 = SSE/DFE |
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Lineaire regressie: Welke df bij BHI/toets/voorspellingsinterval helling? |
DFE = n-p-1 |
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Logistische regressie: welke DF bij Wald? Welke verdeling? |
DF(wald) = 1, Chi2 verdeling (tabel F)
Wortel trekken van Wald maakt Z-waarde! |
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Hoeveel df bij Kruskal-Wallis test (H)? Welke verdeling? |
df = i -1 Chi2 verdeling. |
