Lecture 4 - Correlation Techniques

Question 1

\_\_\_\_\_ = checks difference between means of 2 groups;
\_\_\_\_ = checks differences between means of 3 or more groups

Answer 1

T-test;

ANOVA

Question 2

both ANOVA and T-tests are used for _____ data ie Gausian/normal distribution

Answer 2

parametric

Question 3

the _____ compares variance among experimental groups in an ANOVA test

Answer 3

F ratio

Question 4

equation for F ratio

Answer 4

(variance between groups) / (variance within groups)

Question 5

_____ tests deal with continuous/population parameters

Answer 5

parametric;

ie weight

Question 6

non parametric/distribution-free tests may test differences in _____. useful for comparing data for _____ or ____ variables

Answer 6

frequency;

nominal, ordinal

Question 7

\_\_\_\_\_ = categorical data ie yes or no;
\_\_\_\_\_ = ordered data; can rank, but distance doesn't matter;
\_\_\_\_\_ = ordered data, and distance between data is meaningful
\_\_\_\_ = 0 means there is 0 of something, it is meaninful

Answer 7

nominal;
ordinal;
interval;
ratio

Question 8

most important nonparametric test for testing hypotheses of nominal and ordinal data?

Answer 8

chi squared test

Question 9

Chi-Squared Test:

compares differences between ___ or more _______ of categorical outcomes

Answer 9

2;

percentages (proportions)

Question 10

The ______ test is the exact same as Chi-square but it assumes less than 5 subjects

Answer 10

fishers exact

vs Chi square, which requires data from > 5 subjects per cell

Question 11

the _______ test asks whether 2 independent samples come from the same population ie is it random or not

Answer 11

wilcoxon rank sum test

Question 12

if a confidence interval is given for relative levels, the control group is assumed to be _____

Answer 12

1

Question 13

the correlation coefficient, ___, expresses the strength and direction of a relationship between ___ variables

Answer 13

r;

2

Question 14

values of r range between ___ and ____. what value indicates perfect linear correlation?

Answer 14

-1. 1;

1

Question 15

the _____ or ____ is the amount of variance in one variable that can be explained by variance in another variable

Answer 15

coefficient of determination;

r^2