Flashcards in Chapter 17 Testing for Difference Between Two Samples Deck (17)

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1

## Parametric Test (4)

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1. Relatively powerful significance test

2. Uses estimations of population parameters

3. Data tested use usually therefore satisfy certain assumptions

4. Also known as a distribution dependent test

2

## Distribution Dependent Test (2)

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1. Significance test

2. Using estimations of population parameters

3

## t-Test (2)

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1. Parametric difference test

2. For data at interval level or above

4

## Distribution Free Test (2)

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1. Significance test

2. Does not depend on estimated parameters of an underlying distribution

5

## Related t Test (2)

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1. Parametric difference test

2. For related data at interval level or above

6

## Unrelated t Test (2)

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1. Parametric difference test

2. For unrelated data at interval level or above

7

## Difference Mean (3)

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1. Mean of differences

2. Between pairs of scores

3. In a related design

8

## Cohen's d (1)

### 1. Measure of effect size

9

## Pooled Variance (3)

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1. Combination of two sample variances

2. Into an average

3. In order to estimate population variance

10

## Non-Parametric Test (3)

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1. Significance test

2. Does not make estimations of parameters of an underlying distribution

3. Also known as a distribution free test

11

## Data Checking (3)

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1. Checking that data are suitable for a parametric test

2. Including checking normality

3. And testing for homogeneity of variance

12

## Transformation of Data (3)

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1. Performed in order to remove skew from a data set

2. So that it conforms to a normal distribution

3. Thus enabling the use of a parametric test

13

## Robustness (3)

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1. Tendency of test

2. To give satisfactory probability estimates

3. Even when data assumptions are violated

14

## Mann-Whitney U Test (2)

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1. Ordinal-level significance test

2. For differences between two sets of unrelated data

15

## Power Efficiency (2)

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1. Comparison of the power

2. Of two different tests of significance

16

## Wilcoxon's T - Matched Pairs Signed Ranks (2)

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1. Ordinal-level significance test

2. For differences between two related sets of data

17