Study for class test

Question 1

One continuous variable, compare its mean to a pre-selected value

Answer 1

One sample t-test

Question 2

One sample t-test assumptions

Answer 2

Normally distributed continuous variable

Question 3

One sample t-test H0

Answer 3

Mean of variable is equal to the population (or pre selected value)

Question 4

2 measurements of the same continuous variable at different time points

Answer 4

Paired samples t-test

Question 5

Paired samples t-test H0

Answer 5

Mean of variable at follow up is the same as the mean at baseline in population

Question 6

Paired samples t-test assumptions

Answer 6

Difference in the variable between baseline and follow up should be normally distributed

Question 7

Assumptions not met for paired samples t-test

Answer 7

Wilcoxon test

Question 8

One continuous variable and a categorical variable with more than 2 groups, to compare mean of continuous variable between the groups

Answer 8

ANOVA

Question 9

ANOVA H0

Answer 9

Mean of variable is the same across all 3 groups

Question 10

ANOVA assumptions

Answer 10

Independent groups
Normal distribution
Equal variance of continuous variable between groups - use Levenes test (p>0.05 for variance)

Question 11

ANOVA show which groups differ

Answer 11

Post-hoc test -> Scheffe test

Question 12

Assumptions for ANOVA not met

Answer 12

Kruskal-Wallis test

Question 13

Compare continuous variable between 2 binary variables

Answer 13

Independent samples t-test

Question 14

Independent samples t-test assumptions

Answer 14

Independent groups
Normal distribution
Equal variance between groups - Levenes test

Question 15

Assumptions not met independent samples t-test

Answer 15

Mann-Whitney test

Question 16

Independent samples t-test H0

Answer 16

Mean continuous variable in one group is the same as the mean in other group

Question 17

Krustak-Wallis instead of

Answer 17

ANOVA

Question 18

Man-Whitney instead of

Answer 18

Independent samples t-test

Question 19

Wilcoxone instead of

Answer 19

Paired t-test

Question 20

When to use non-parametric tests for continous variable

Answer 20

• assumptions for parametric counterpart not met
• OR data is ordinal (ranked)
• OR small sample size

Question 21

What do non-parametric tests conclude

Answer 21

Compares the distribution of the variable between groups by using ranks

Question 22

H0 non parametric tests

Answer 22

Distribution of continuous variable between groups is the same

Question 23

Chi squared assumptions

Answer 23

No expected cell counts <1
At least 80% of expected cell counts >5

Question 24

What does chi squared look at

Answer 24

Proportion of people in each group

Question 25

2 independent categorical (nominal) variables and assumptions met

Answer 25

Pearsons chi squared test

Question 26

2 independent categorical (ordinal) variables and assumptions met

Answer 26

Chi squared test for trend

Question 27

Categorical variables - 2x2 table, assumptions met

Answer 27

Chi squared test with continuity correction

Question 28

Categorical variable - 2x2 table, assumptions not met

Answer 28

Fisher test

Question 29

Categorical variable - 2x2 table, variables are paired (not independent)

Answer 29

McNemar test

Question 30

Check if observed frequencies within each cell is what is expected (categorical data)

Answer 30

Chi squared goodness of fit test