test.prop2

Computes a continuity-corrected z-test for a difference of population
proportions in a 2-group design. A confidence interval for a difference in
population proportions is a recommended supplement to the z-test (see
ci.prop2).
For more details, see Section 2.4 of Bonett (2021, Volume 3)

Implements confidence interval and sample size methods that are especially
useful in psychological research but are also useful in educational, social science,
business, and biological research. This package includes more than 100 confidence
interval functions and more than 80 sample size functions for 1-group, 2-group,
paired-samples, and multiple-group designs and for a variety of parameters including
means, medians, proportions, slopes, standardized mean differences, standardized
linear contrasts of means, and several measures of correlation and association. The
sample size functions can be used to approximate the sample size needed to estimate
a parameter or function of parameters with desired confidence interval precision or
to perform a variety of hypothesis tests (directional two-sided, equivalence,
superiority, noninferiority) with desired power. For details about these methods see:
Statistical Methods for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

test.prop2 function

<dl><dt>f1</dt>
<dd>number of group 1 participants who have the attribute</dd>
<dt>f2</dt>
<dd>number of group 2 participants who have the attribute</dd>
<dt>n1</dt>
<dd>sample size for group 1</dd>
<dt>n2</dt>
<dd>sample size for group 2</dd></dl>

Arguments

Hypothesis test for a 2-group proportion difference — test.prop2

<dl>

<dt>f1</dt>
<dd>number of group 1 participants who have the attribute</dd>


<dt>f2</dt>
<dd>number of group 2 participants who have the attribute</dd>


<dt>n1</dt>
<dd>sample size for group 1</dd>


<dt>n2</dt>
<dd>sample size for group 2</dd>

</dl>

test.prop2: Hypothesis test for a 2-group proportion difference

Description

Usage

Value

Arguments

References

Examples