Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

IP 196 > Nonparametric Tests > Flashcards

Nonparametric Tests Flashcards

1
Q

Parametric test

A

Knowledge of probability distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Nonparametric Test

A
  • distribution free statistics / rank method
  • doesn’t make assumption
  • ranking or categorizing the data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

When to use non parametric test

A
  • small sample size
  • not normally distributed, homoscedasticity
  • outliers
  • ordinal scale
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Advantages

A

Easy to compute
Doesn’t need requirements of normality and homogeneity
Not affected by outliers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Disadvantage

A

Raw data, ranking

Risk of Type 2 error

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

1 group

A

One sample median

Chi square of goodness of fit

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

1 IV with 2 levels (paired)

A

Wilcoxon Signed-Rank
Sign
McNemar

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

1 IV 2 levels (independent)

A

Mann-Whitney
Median
Chi Square
Fischer’s Exact

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

1 IV 3 or more levels

A

Kruskal-Wallis
Chi square
Friedman 2-way ANOVA

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Relationship between 2 variables

A

Spearman’s correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Ranking of data

A

1 assigned to smallest

N - largest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

One sample median test

1 group
1 IV with 2 levels (paired)

A

Aka sign test
DV : ordinal
Measure if sample median differ from hypothesized value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Mann-Whitney U test

1 IV 2 levels (independent)

A 
aka Willcoxon-Rank Sum Test
NP: independent t-test
n : at least 8
IV : nominal, dichotomous 
DV: OIR
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Median Test

1 IV 2 levels (independent)

A

NP: k-sample test
Test equality of median
OI data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Sign Test

1 IV 2 levels (paired)

A

Alternative : paired t-test
(Single group)
- Determine if a population median = particular value
(Paired)
- median difference = 0
Could be used in place of Wilcoxon Signed Rank
- not ordinal, could be merely classified as positive or negative

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Wilcoxon Signed Rank Test

1 IV 2 levels (paired)

A 
aka Wicoxon Matched-Pairs Signed-Rank Test
NP: paired ttest
compares medians of 2 related groups 
More powerful than Sign test 
- take into account sign + magnitude of 
At least 5
17
Q

Chi Square Test

1 IV 2 levels (independent)
3 or more levels

A

aka Pearson’s Chi Square
Relationship between 2 categorical variables
Analyze difference between observed frequency &; expected frequency

18
Q

Z test

A

Parameter : proportion or percents

Predictor : one or 2 levels

19
Q

Chi- square test

A

Parameter: frequency

Predictor : greater than 2 levels

20
Q

Types of Chi-Square Test

A
  1. Goodness-of-fit
  2. Homogeneity / Independence
  3. Association
21
Q

Chi-Square Goodness of Fit

A

Data FITS distribution

One categorical variable

22
Q

Chi-square Homogeneity/Independence

A

Two/more IV

If diff samples come from populations with the distribution

23
Q

Chi-square Association

A

Relationship or association between 2 QV

Computationally same as test of homogeneity except for E

24
Q

Chi-square Goodness of fit

A

Observed set data is distributed as expected

Sample distribution is representative of the population

25
Q

Chi-square Goodness of Fit for a Normal Distribution

A

Sample : normally distributed

Sample set : greater than or equal to 50

26
Q

Chi-square goodness of fit Binomial Distribution

A

If data comes from binomial distribution

27
Q

Chi-square test of Homogeneity/independence

A

If categorical values are independent of each other

Whether or not 2/more populations have the same proportions for diff categories of a variable

28
Q

Fischer’s Exact

1 IV 2 levels (independent)

A

aka Fisher four Fold Test
- 4 cells of frequency dat
Compare 2 independent binomial proportions
EXACT : involve calculation of exact probabilities
abcd cell format
Used if chi square of independence is reduced to an2x2 contingency able

29
Q

McNemar’s Test

1 IV 2 levels (independent)

A

Relationship/independence paired NOMINAL variables
When assumption in chi square and Fischer’s exact test is not met
Dichotomous that are paired
2x2 contingency table
B and C primary interest

IP 196 (1 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions