Statistical Tests

Question 1

Statistical tests for comparing group means

Answer 1

Independent t tests (Mann Whitney u non parametric alt

Paired t test ( Wilcoxon)

One way ANOVA (Kruskal Wallis)

Repeated measures ANOVA

Question 2

What statistical test do you use for looking at relationships between variables

Answer 2

Pearson correlation (spearman non paramteric)

Simple Linear regression
Multiple linear regression

Question 3

What would you use as an alternative for a repreated measures ANOVA

Answer 3

Friedmans test

Question 4

Compares the means of two independent groups with one categorical and one continuous variable

Answer 4

Independent t test, you want to know if group a and group b are different in their averages eg comparing bmi between men and women

Question 5

If mauchlys test is significant (p< .05) what does that mean?

Answer 5

The assumption of sphericity is violated

Question 6

What do you do if the assumptions of sphericity is not met

Answer 6

Apply corrections like greenhouse geisser

Question 7

When greenhouse geisser correction is applied, how do the degrees of freedom look

Answer 7

The correction reduces degrees of freedoms to decimals which makes test more conservative

Question 8

What type of data is required for repeated measures ANOVA

Answer 8

One continuous variable across 3 or more related conditions

Question 9

You run a repeated measures aniva and get p = 0.058 after greenhouse geisser correction, what do you conclude?

Answer 9

The result is borderline but not significant

Question 10

What does the greenhouse geissee row in the spee outfput adjust

Answer 10

The degrees of freedom

Question 11

You want to compare the average test scores between two independent groups, what test do you use

Answer 11

Independent t test, it compared the means between two separate groups

Question 12

Whats the difference between and independent t test and a pair t test

Answer 12

Independent t test compares the means between two separate groups

Paired t test is for the same group measured twice

Question 13

Assumptions of the independent t test

Answer 13

Normal distribution of The dependent variable

Homogeneity of the variance (levenes test)

Independence of observations

Question 14

Levenes test is significant what does that mean

Answer 14

Equal variance are not assumed use welchs test

Question 15

Two continuous variables you’re checking for a relationship

Answer 15

Pearson correlation

Question 16

Pearson correlation assumptions

Answer 16

Borth variables are continuous
Linearity
Normality
No significant outliers

Question 17

What test do you use to compare 3+ independent groups

Answer 17

One way ANOVA

Question 18

One way ANOVA assumptions and what to do if assumptions aren’t met

Answer 18

Normal distributions within each group

Homogeneity
Independent observations

Kruskal Wallis is. Non parametric alternative

Question 19

What test do you use to compare the means across 3 time points

Answer 19

Repeated measures ANOVA

Question 20

repeated measures ANOVA assumptions

Answer 20

Sphericity, normality

Question 22

kruskall wallis uses

Answer 22

medians and means

Question 23

medians are used in a kruskal wallis when _

Answer 23

the distributions of the groups are the same

Question 24

means are used in kruskal wallis when __

Answer 24

distributions of groups are not the same shape

Question 25

kruskal wallis tells you

Answer 25

if there are differences between groups but not where they are

Question 26

two tailed alternative hypothesis

Answer 26

true mean does not equal hypothesized value, looking at IF there is a difference, not which direction

Question 28

in a one way ANOVA independent variables are referred to as

Answer 28

grouping factors, which are split into levels

Question 29

if 95% confidence interval contains 0 then groups are

Answer 29

not different

Question 30

Whats the point of a post hoc test

Answer 30

To see where the differences are in an ANOVA

Question 31

Coeeffience go determination the closed r2 is the 0 the x has to do with ya variability

Answer 31

Less

Question 32

This score is used when you have the population standard deviation and you're comparing a single score - tells you how many standard deviations a value is from the mean Normal distribution

Answer 32

Z score

Question 33

Used when you don't gs e population standard deviation and you're working with a small sample less than 30 Used fish n t tests to compare means between groups or before and after Wider than normal distribution

Answer 33

T score

Question 34

Used when comparing variances or more than 2 groups Used in ANOVA to test iif at least one group mean is different Positively skewed

Answer 34

F score