# W1 - Intro to Stats Flashcards

1
Q

List some parametric assumptions

A

Normal distribution of data

Homogeneity of variance

Linearity of association

2
Q

What does the p value for parametric tests depend on?

A

normal sampling distribution.

3
Q

What does Homogeneity of variance refer to?

A

Similarity in the variance throughout the data.

4
Q

What shape is shown when the histogram of data is symmetrical with most frequent values around the middle point

A

Bell-shaped

5
Q

What is meant by linearity of association

A

When the pattern of the dots on a scatterplot of 2 continuous measures are linear.

6
Q

What type of parametric test is used when testing the difference between 2 means

A

Independent samples t-test

Paired samples t-test

7
Q

What type of parametric test is used when testing the relationship between 2 continuous measures?

A

Pearsons correlation

8
Q

What is the difference between parametric + non-parametric tests?

A

Parametric - Assumptions are met

Non-parametric - Assumptions NOT met

9
Q

What non-parametric tests are used when testing the difference between 2 means

A

Mann-Whitney U-test

Wilcoxon Signed-rank test

10
Q

What non-parametric test is used when testing the relationship between 2 continuous measures?

A

Spearman’s rank order correlation

11
Q

What does the NONDIRECTIONAL alternative hypothesis state?

A

That there IS a difference between the mean scores of 2 groups but DOESN’T specify which group is expected to be larger or smaller.

12
Q

Describe the difference between the SD and the SE (4 marks)

A

SD tells us how spread out the sample data is from the sample mean.

SE tells us how spread out the sample means are from the population mean.

13
Q

List 3 threats to internal validity (3 marks)

A

No control group as changes could have occurred anyway.

Learning effects: participants get used to testing equipment so do better 2nd time.

Carry over effects: effects of 1st treatment are still present at time of starting 2nd treatment.