Lecture 5

Question 1

What is paired samples t-test used for?

Answer 1

Used to test paired, repeated or matched data; data where each case (I.e., person) has provided a pair of values and these values are represented in seperate variables in the data.

Question 2

Is a single-sample (one-way) t-test?

Answer 2

No

Question 3

What is single- sample (one way) t-test?

Answer 3

Used to test your sample mean against a camparison value

Question 4

If ______ it means that homogeneity of variance has been met, the variance is approximately equal; therefore use equal variances assumes.

Answer 4

P> .05

Question 5

What are the two versions of test results that are shown in an independent samples t-test?

Answer 5

Equal variance assumed and equal variance not assumed.

Question 6

When writing up the results for any-test, what goes in italics?

Answer 6

T and P

Question 7

How are degrees of freedom for an independent t-test calculated?

Answer 7

t is the computed test statistic. df is the degrees of freedom. Sig (2-tailed) is the p-value corresponding to the given test statistic and degrees of freedom.

Question 8

What are the first three features of r?

Answer 8

1. It must be between +1 and -1
2. Negative correlations are just as important as positive correlations
3. If you square r you get R^2 which is an important statistic that tells you the level of overlapping / shared variance.

Question 9

What are the last 3 features of r?

Answer 9

4. If there is no correlation, then r=0.
5. Only assesses the linear component of the relationship
6. If relationship is non-linear, r will be calculated but it will be misleading. Why scatterplots are needed.

Question 10

What is negative relationship/ correlation?

Answer 10

As scores on one variable go up, scores on the other variable go down. High scores on one variable are associated with low scores on another variable

Question 11

What is a correlation matrix?

Answer 11

Running every possible correlation from a set of variables.