non-parametric test

Question 1

non-parametric version of the t-test. comparing two samples

Answer 1

mann-whitney u-test

Question 2

non-parametric version of ANOVA
3 or more groups

Answer 2

kruskal-wallis one-way analysis of variance

Question 3

non-para version on a paired t-test

compares 2 paired groups

Answer 3

wilcoxon matched pairs

Question 4

non-para version of a repeated measures ANOVA
compares 3 or more paired group
followed w post-test

Answer 4

friedman test

Question 5

when do you use a non-parametric test?

Answer 5

-cannot assume normal population
- variance is unequal
- small samples
- nominal or ordinal data

Question 6

Formula for % sensitivity

Answer 6

TP/TP+FN proportion of positive tests among
patients that have the disease

Question 7

Formula for % specificity

Answer 7

TN/FP+TN proportion of negative tests among
patients that are healthy

Question 8

PPV formula?

Answer 8

TP/TP+FP

Question 9

Disease prevalence formula?

Answer 9

TP+FN/ TOTAL SUM

Question 10

ability of
an analytical method to assess small variations of
the concentration of the analyte

Answer 10

Analytical sensitivity

Question 11

ability of an
assay to determine specifically the concentration
or detection of the target analyte in the presence
of interfering substances

Answer 11

Analytical specificity

Question 12

defined as the fraction of
patients with a disease that the assay correctly
identifies

Answer 12

Clinical sensitivity

Question 13

defined as the fraction of
patients without a disease that the assay
correctly identifies

Answer 13

Clinical specificity

Question 14

What would the null hypothesis be for a Chi-
square analysis?

Answer 14

H 0 = There is no relationship between variable
A(studying) and variable B (passing)

Question 15

What would the research hypothesis be for a Chi-
square analysis?

Answer 15

H a= There is a relationship between variable A
(studying) and variable B (passing)

Question 16

If the frequencies (counts) are <5, then it is best
to use an alternative to Chi-square called the

Answer 16

Fisher exact test

Question 17

What happens if chi squared value is greater than critical value?

Answer 17

Significant, reject null

Question 18

What happens if chi squared value is less than critical value?

Answer 18

Not significant, fail to reject null

Question 19

If observed population is deemed as not significant, is it in hardy weinburg equilibrium?

Answer 19

Yes

Question 20

Compares a sample mean to a given population
mean

Answer 20

One sample t-test

Question 21

two-sample t-test • Compares two sample means • Is one sample mean significantly different from
the other?

Answer 21

Students t test

Question 22

Requires a set of paired observations from a
normal population • compares one set of measurements
with a second set of measurements from the same sample • Can be used to compare “before” and “after”
scores

Answer 22

Paired t-test

Question 23

one independent variable/factor WITH three or more levels. determines if observed differences among a
set of means are statistically significant from each other

Answer 23

One way ANOVA

Question 24

Other independent variables/factors can be
added to the mix, looking for interactions between the independent variables Ex: Measure effects of 3 drugs
AND 3 diet regimens on blood pressure

Answer 24

Two way anova

Question 25

Analogous to the paired t-test Aka “within-subjects” design. Advantage of using is that
individual differences are controlled. Includes multiple dependent variables, Scenario: Effects of three different medications on diastolic and systolic blood pressure (DBP, SDP)

Answer 25

MANOVA