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Chisquare
GoodnessofFit
Test
This Chisquare test is a
nonparametric
NHST for testing hypotheses
about the form of the
entire population
distribution. On the other hand,
the t test and the Ftest for testing the equal variances are example of
parametric tests based on ratio or interval scales of measurement.
(e.g.) An opinion poll taken in 1970 revealed the following data regarding
the legalization of marijuana: 15% in favor of, 79% against, and 6 % no
opinion.
Suppose a random sample of n = 220 people in 1990 shows the
following data:
52 (23.7%)

in favor of
151 (68.6%)

against
17 (7.7)

no opinion
Does the above data indicate a significant change in opinion about the
legalization of marijuana?
Or, is there a significant difference between
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View Full Document the 1990 and the 1970 data?
Note that (1) Data type: frequency data (i.e., always
counting data
, not
numerical scores or amount or size); and (2) Hypothesis: no
mention
about any parameter value.
Chisquare Test
The chisquare statistic measures how well the observed frequency
distribution fits the population distribution, i.e., "
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This note was uploaded on 07/17/2008 for the course PSYCH 826&N taught by Professor Myung during the Fall '04 term at Ohio State.
 Fall '04
 MYUNG
 Psychology

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