Session 7b - Comparison of means, non-independent Flashcards

1
Q

Examples of samples being not-independent

A

Measuring a variable before and after an event in the same subject
Matched pairs eg parent / child

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2
Q

Implications of variables not being independent

A

Observations are correlated - no longer independent
No between-subject differences, therefore smaller standard error of group differences
Larger observed t-values, because smaller standard error

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3
Q

Degrees of freedom for t-distribution for non independent variables

A

Only one group, not two (n-1)

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4
Q

Assumptions for paired t-test

A

Pairs of observations are independent
PAIRED DIFFERENCES are normally distributed (check on histogram)

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