Flashcards in Parametric and Non-Parametric Stats Deck (20)

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1

## _______ statistics require certain "parameters" underlying the data; while ______ statistics have little or no requirements

###
parametric

non-parametric

2

##
True or False

In non-parametric statistics, assumptions are met

### False; in parametric stats assumptions are met in non-parametric, assumptions may be left

3

## The linear regressions and correlation test is equivalent to the _____-___ test and _______ exact

###
chi-square

Fisher's

4

## The two-sample t test (independent t test) is equivalent to the ____ _____ sum test

### Wilcoxon rank

5

## The ANOVA test is equivalent to the _____ _____ test

### Kruskal-Wallis Test

6

## The one-sample t test (paried/dependent) is equivalent to the ______ ____ rank test and **_______ test

###
Wilcoxon Sign

McNemar (remember this!)

7

## The repeated measures ANOVA test is equivalent to the ________ test

### Friedman

8

##
In a two variable statistical test; when the independent AND dependent variable are BOTH nominal or ordinal this is a ____ ____ test

### chi square

9

## In a two variable statistical test; when the independent variable is nominal or ordinal and the dependent is continuous then it is a _____ or ____ test; it tests the null hypothesis that there is no difference between the groups versus that the groups differ or that at least one of the groups differ (only in an ANOVA with 2 or more levels)

###
T

ANOVA

10

## In a two variable statistical test; when the independent AND dependent variable are BOTH continuous then it is a ______ _____ test

### correlation/regression

11

## In a two variable statistical test; when the independent variable is continuous and the dependent is nominal or ordinal then it is a ______ _____ test

### logistical regression

12

## The ________ is the strength of a (linear relationship) and the ______ is the details of that relationship

###
correlation

regression

13

## The ____ ____ test is a continuation of the Wilcoxon Rank Sum test, at 2 groups it is much like the t-test and ANOVA, however it can handle MORE than two groups

### Kruskal-Wallis Test

14

## Dependent group tests; if one sample or paired data use the ______ ____ rank test or the _______ test; if more than one group use the _____ test

###
Wikcoxon sign

McNemar

Friedman

15

##
The _____ ____ test; repeated measurements (dependent observations) - ordinal data

for example; evaluation of 2 faculty by dental students (scale 1-5)

### sign rank

16

## The assumptions of a sign rank test include ______ measures and ______ between measures

###
ordinal

dependency

17

## With ______ test, the subjects give more than one value; for example, each individual receives BOTH injections and compares the 2

### McNemar

18

## The most important data to observe in the contingency table of a McNemar test is that of which the data __________; for example when the data states yes anesthetic A worked but B didn't and vice versa

### dissagreement

19

## Under the null hypothesis of a McNemar test, we would expect ______ numbers of conditions A and B (where the data differed)

### equal

20