Test 3

Question 1

Stats tests useful for normally-distributed data are called

Answer 1

Parametric tests

Question 2

When is a distribution considered skewed

Answer 2

When the median differs from the mean
Negative skew- mean < median
Positive skew- mean > median

Question 3

Kurtosis, positive vs negative

Answer 3

A measure of the extent to which observations cluster around the mean
Positive kurtosis= more cluster
Negative kurtosis= less cluster

Question 4

What test can you use to calculate if groups are normally distributed and have equal variances

Answer 4

Levenes test

Question 5

Possible measures in nominal data

Answer 5

Mode, range, frequency distribution

Question 6

Possible measures in ordinal data

Answer 6

Same as nominal plus-

Median, percentile, semiquartile range

Question 7

Possible measures in interval data

Answer 7

All ordinal tests
Mean
Standard deviation
Addition/subtraction

Question 8

Possible measures in ratio data

Answer 8

All measures possible

Can make comparisons

Question 9

Type one error with null hypothesis

Answer 9

Not accepting the null hypothesis when it is actually true

Question 10

Type two error with null hypothesis

Answer 10

Accepting the null hypothesis when it is actually false

Question 11

What type of test is he looking for if he says “I want to see changes over time”

Answer 11

Survival test

Question 12

What type of test is he looking for if he says “I want to PREDICT the likelihood of some outcome”

Answer 12

Regression test- he will have the word “predict” in question stem

Question 13

Test used for 2 groups of independent nominal data

Answer 13

Pearsons chi square test

Question 14

Test used for 3+ groups of independent nominal data

Answer 14

Chi-square test of independence

Question 15

Test used for 2+ groups of nominal data with expected cell count LESS THAN 5

Answer 15

Fishers exact test

Chi square test will not work with expected counts less than five

Question 16

When do you used post-hoc testing

Answer 16

For statistically significant findings in 3 or more comparisons, in order to determine which groups are different

Question 17

Post-hoc test used for nominal data

Answer 17

Bonferroni test of inequality

Question 18

Paired/related data

Answer 18

He must state that they collected data throughout the study, AND that they compared those sets of data (data sets must be from same group as well)
“Pre vs Post” “Before vs After” “Baseline vs End”

Question 19

Test used for 2 groups of paired nominal data

Answer 19

McNemar test

Question 20

Test used for 3+ groups of paired nominal data

Answer 20

Cochran test

Question 21

Test used for 2 groups of ordinal data

Answer 21

Mann-whitney test (can be used for interval data not meeting parametric requirements)

Question 22

Test used for 3+ groups of ordinal data

Answer 22

Kruskal-Wallis test (can be used for interval data not meeting parametric requirements)

Question 23

Test for 2 groups of paired ordinal data

Answer 23

Wilcoxon signed rank test

Question 24

Test for 3+ groups of paired ordinal data

Answer 24

Friedman test

Question 25

When would you use a student-newman-keul test and what does it do

Answer 25

(Post-hoc for ordinal data) Used when Friedman test gives a statistically significant value Compares all pairwise comparisons possible All groups must be equal

Question 26

When would you use a Dunnet test and what does it do

Answer 26

Post hoc for ordinal. Used when friedman test gives statistically significant value Compares all pairwise comparisons against a single control All groups must be equal (Spoke and wheel picture)

Question 27

When would you use a Dunn test and what does it do

Answer 27

Post hoc for ordinal. Used when Friedman test gives statistically significant value Compares all pairwise comparisons possible Useful when all groups are NOT equal size

Question 28

Test for 2 groups of independent interval data

Answer 28

Student t test

Question 29

Test for 3+ groups of independent interval data

Answer 29

Analysis of Variance (ANOVA)

Question 30

Test for 3+ groups of independent interval data with confounders

Answer 30

Analysis of Co-variance (ANCOVA)

Question 31

Test for 2 groups of paired interval data

Answer 31

Paired T test

Question 32

Test for 3+ groups of paired interval data

Answer 32

Repeated measures ANOVA

Question 33

Test for 3+ groups of paired interval data with confounders

Answer 33

Repeated measures ANCOVA

Question 34

Correlation test for nominal data

Answer 34

Contingency coefficient

Question 35

Ordinal correlation test

Answer 35

Spearman correlation

Question 36

Interval correlation test

Answer 36

Pearson correlation

Question 37

Nominal survival test

Answer 37

Log-rank test

Question 38

Ordinal survival test

Answer 38

Cox-proportional hazards test

Question 39

Interval survival test

Answer 39

Kaplan-Meier test

Question 40

Nominal regression test

Answer 40

Logistic regression

Question 41

Ordinal regression test

Answer 41

Multinomial logistic regression

Question 42

Interval regression test

Answer 42

Linear regression