Chapter 17 Testing for Difference Between Two Samples Flashcards Preview

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Flashcards in Chapter 17 Testing for Difference Between Two Samples Deck (17)
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1

Parametric Test (4)

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)

1. Significance test
2. Using estimations of population parameters

3

t-Test (2)

1. Parametric difference test
2. For data at interval level or above

4

Distribution Free Test (2)

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

5

Related t Test (2)

1. Parametric difference test
2. For related data at interval level or above

6

Unrelated t Test (2)

1. Parametric difference test
2. For unrelated data at interval level or above

7

Difference Mean (3)

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)

1. Combination of two sample variances
2. Into an average
3. In order to estimate population variance

10

Non-Parametric Test (3)

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)

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)

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)

1. Tendency of test
2. To give satisfactory probability estimates
3. Even when data assumptions are violated

14

Mann-Whitney U Test (2)

1. Ordinal-level significance test
2. For differences between two sets of unrelated data

15

Power Efficiency (2)

1. Comparison of the power
2. Of two different tests of significance

16

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

1. Ordinal-level significance test
2. For differences between two related sets of data

17

T (1)

1. See Wilcoxon test