Statistical Tests Selection: Choosing the Appropriate One for Hypothesis Testing, Study notes of Statistics

An overview of various statistical tests used for hypothesis testing, including the single sample t-test, between subjects t-test, within subjects t-test, mann-whitney u test, wilcoxon matched pairs signed ranks test, chi square goodness of fit test, and chi square for contingency tables. Each test is described by the null and alternative hypotheses, the question to be answered, and the statistic to choose.

Typology: Study notes

Pre 2010

Uploaded on 08/18/2009

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Selecting the Appropriate Statistic (Part 1)
Used to test
hypothesis about: Number of Groups Question to be
Answered (Verbal
statement of the
hypothesis)
Statistic to Choose Null and
Alternative
Hypothesis
Means One Is the mean of the
group significantly
different from some
number?
Single Sample t-test H0: µ = number
H1: µ number
or
H1: µ number
or
H1: µ number
example
H0: µ = 30
Two independent
(separate) groups Is the mean of one
group significantly
different from the
mean of the other?
Between Subjects
(Independent
Samples) t-test
H0: µ1 = µ2
H1: µ µ
or
H1: µµ
or
H1: µµ
Two groups of
matched subjects or
two measures on
the same subjects
(repeated measures)
Is the mean of one
set of scores
significantly
different from the
mean of the other
set of scores?
Within Subjects
(repeated measures
or dependent
groups) t-test
H0: µ1 - µ2 = 0
H11 - µ2 0
Ranks Two independent
(separate) groups Are the ranks
assigned by one
group higher or
lower than the
ranks assigned by
the other group?
Mann-Whitney U
Test HO: The ranks are
no different
H1: The ranks are
higher or lower.
Two groups of
matched subjects or
two measures on
the same subjects
(repeated measures)
Are the ranks
assigned in one
situation higher or
lower than the
ranks assigned in
another situation?
Wilcoxon Matched
Pairs Signed Ranks
Test
HO: The ranks are
no different
H1: The ranks are
higher or lower.
Shape of the
Distribution
Frequency
Distribution
One group/set of
scores Are the scores
normally
distributed?
Or
Are the scores
distributed in some
specified way?
Chi Square
goodness of fit H0: The distribution
is normal
H1: The distribution
differs from normal
Frequency
Distribution/
Counts
Count the number
in each of several
categories on two
dimensions.
Is there a
relationship
between the
dimensions
(variables)?
Chi Square for
Contingency Tables H0: There is no
relationship (the
dimensions/
variables are
independent)
H1: There is a
relationship.

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Selecting the Appropriate Statistic (Part 1)

Used to test hypothesis about:

Number of Groups Question to be Answered (Verbal statement of the hypothesis)

Statistic to Choose Null and Alternative Hypothesis

Means One Is the mean of the group significantly different from some number?

Single Sample t-test H 0 : μ = number H 1 : μ Ö number or H 1 : μ ó number or H 1 : μ ô number

example H 0 : μ = 30

Two independent (separate) groups

Is the mean of one group significantly different from the mean of the other?

Between Subjects (Independent Samples) t-test

H 0 : μ1 = μ H 1 : μ Öμ or H 1 : μóμ or H 1 : μôμ

Two groups of matched subjects or two measures on the same subjects (repeated measures)

Is the mean of one set of scores significantly different from the mean of the other set of scores?

Within Subjects (repeated measures or dependent groups) t-test

H 0 : μ 1 - μ2 = 0 H 1 :μ 1 - μ2 Ö 0

Ranks Two independent (separate) groups

Are the ranks assigned by one group higher or lower than the ranks assigned by the other group?

Mann-Whitney U Test

HO: The ranks are no different

H 1 : The ranks are higher or lower.

Two groups of matched subjects or two measures on the same subjects (repeated measures)

Are the ranks assigned in one situation higher or lower than the ranks assigned in another situation?

Wilcoxon Matched Pairs Signed Ranks Test

HO: The ranks are no different

H 1 : The ranks are higher or lower.

Shape of the Distribution

Frequency Distribution

One group/set of scores

Are the scores normally distributed?

Or Are the scores distributed in some specified way?

Chi Square goodness of fit

H 0 : The distribution is normal

H 1 : The distribution differs from normal

Frequency Distribution/ Counts

Count the number in each of several categories on two dimensions.

Is there a relationship between the dimensions (variables)?

Chi Square for Contingency Tables

H 0 : There is no relationship (the dimensions/ variables are independent)

H 1 : There is a relationship.