FLOW CHART FOR start APPROPRIATE METHODS OF...

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Abby, Helen, Ph.D., Johns Hopkins School of Hygiene & Public Health, Baltimore, 1985. Only one variable of interest? One-Sample problem? YES NO Underlying distribution normal or can central limit theorem be assumed to hold? YES Inference concerning µ? Underlying distribution is binomial? σ known? YES YES One-Sample normal test One-Sample t test YES NO Inference concerning σ NO Use another underlying distribution or use nonparametric methods NO One-Sample binomial test Go to 4 Go to 1 start FLOW CHART FOR APPROPRIATE METHODS OF STATISTICAL INFERENCE NO One-Sample chi-square test for variances

Transcript of FLOW CHART FOR start APPROPRIATE METHODS OF...

Page 1: FLOW CHART FOR start APPROPRIATE METHODS OF …ctsi.psu.edu/wp-content/uploads/2015/01/Handout-for-D… ·  · 2015-01-19FLOW CHART FOR start APPROPRIATE METHODS OF STATISTICAL INFERENCE

Abby, Helen, Ph.D., Johns Hopkins School of Hygiene & Public Health, Baltimore, 1985.

Only one variable of interest?

One-Sample problem?

YES NO

Underlying distribution normalor can central limit

theorem be assumed to hold?

YES

Inference concerning µ?

Underlying distribution is

binomial?

σ known?

YES

YES

One-Samplenormal test

One-Samplet test

YES NO

Inference concerning σ

NO

Use another underlying distribution or use nonparametric

methods

NO

One-Sample binomial test

Go to 4

Go to 1

startFLOW CHART FOR APPROPRIATE METHODS OF STATISTICAL INFERENCE

NO

One-Sample chi-square test for variances

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Abby, Helen, Ph.D., Johns Hopkins School of Hygiene & Public Health, Baltimore, 1985.

Two-Sample problem?

YES NO

NO

Underlying distribution binomial?

Use another underlying distribution or use nonparametric

methods

1

Underlying distribution normalor can central limit

theorem be assumed to hold?

Inferences concerning means?

YES

YES

Inferences concerning variances

NO

Go to 3

YES

Are samples independent?

Are all expected values ≥5?

YES

Use McNemar’s

Test

NO

Use Fisher’s exact Test

YES

Use Two-Sample test for binomial

proportions or 2 x 2 contingency table

methods

NO

NO

Go to 2

FLOW CHART FOR APPROPRIATE METHODS OF STATISTICAL INFERENCE

Two-Sample Ftest to compare

variances

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Abby, Helen, Ph.D., Johns Hopkins School of Hygiene & Public Health, Baltimore, 1985.

FLOW CHART FOR APPROPRIATE METHODS OF STATISTICAL INFERENCE

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NO

Categoricaldata?

Use another underlying

distribution or use nonparametric

methods

Underlying distribution normal or can central limit

theorem be assumed to hold?

Inferences concerning means?

YES

YES

Inferences concerning variances

NO YES NO

Use r x c contingency table

methods

One-way Analysis of variance (ANOVA)

Bartlett’s test for homogeneity of

variances

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Abby, Helen, Ph.D., Johns Hopkins School of Hygiene & Public Health, Baltimore, 1985.

FLOW CHART FOR APPROPRIATE METHODS OF STATISTICAL INFERENCE

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NOYES

YES

Use Two-Sample t test with unequal

variances

NO

Use Two-Sample t test with equal

variances

Are samples independent?

Are variances of two samples equal?

N.B. Test using F test

Use paired t test

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Abby, Helen, Ph.D., Johns Hopkins School of Hygiene & Public Health, Baltimore, 1985.

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Interested in relationships between two variables?

YES NO

NO

One variable continuous & one

categorical?

YES

YES NO

Both variables continuous?

FLOW CHART FOR APPROPRIATE METHODS OF STATISTICAL INFERENCE

More than two variables of

interest

Use multiple regression or more advanced

techniques of multivariate analysisLinear

regression

Both variables categorical

Analysis of variance (ANOVA)

Use contingency

table analysisNumber of ways in which

the categorical variable can be classified

One-way ANOVA Two-way ANOVA Higher dimension ANOVA

One Two More than Two