BS141 Lecture 4 - Comparing Multiple Samples

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26 Terms

1
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Why are multiple t-tests not suitable for comparing more than two groups

Increase # of tests and inflate chance of false positives, reducing detection power

2
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What is the multiple testing problem

As # of groups increases, # of stats tests increases

3
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What happens to detection power with multiple testing

It decreases making real differences harder to detect

4
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What statistical method is used to compare three or more means

ANOVA or Analysis of Variance

5
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What key statistical concept is ANOVA based on

Variance and its additivity

6
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What does variance additivity mean

If distributions are independent, variance of their sum = sum of their variances

7
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What two variances are compared in ANOVA

Variance within groups and variance between groups

8
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What does variance within groups measure

The combined variability of measurements inside each group

9
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What does variance between groups measure

The variability of group means around the overall mean

10
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If all samples come from the same population how should the two variances compare

They should be approximately equal

11
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What happens when group means are far apart

Variance between groups becomes much larger than variance within groups

12
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What is the F statistic

The ratio of variance between groups to variance within groups

13
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When the null hypothesis is true what distribution does the F statistic follow

The F distribution

14
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How many degrees of freedom define an F distribution

2 - 1 btwn groups, 1 w/in groups

15
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What is the null hypothesis in one way ANOVA

All group means are equal

16
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What is the alternative hypothesis in one way ANOVA

At least one group mean is different

17
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What type of samples are required for one way ANOVA

k independent samples

18
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What are the main steps of a one way ANOVA

Collect data compute within group variance compute between group variance calculate F compare to F distribution

19
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How is sample variance calculated

Sum of squares divided by degrees of freedom

20
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What are degrees of freedom for a group with three measurements

Two

21
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What are the main components of an ANOVA table

Sum of squares degrees of freedom mean square and F value

22
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25
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What sources of variance are considered in two way ANOVA

Variance between rows variance between columns and variance within groups

26
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