ci.prop.fpc

Computes an adjusted Wald interval for a population proportion with a
finite population correction (fpc). This confidence interval is useful
when the sample size is not a small fraction of the population size.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. 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 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

ci.prop.fpc function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>f</dt>
<dd>number of participants who have the attribute</dd>
<dt>n</dt>
<dd>sample size</dd>
<dt>N</dt>
<dd>population size</dd></dl>

Arguments

Confidence interval for a proportion with a finite population
correction — ci.prop.fpc

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>f</dt>
<dd>number of participants who have the attribute</dd>


<dt>n</dt>
<dd>sample size</dd>


<dt>N</dt>
<dd>population size</dd>

</dl>

ci.prop.fpc: Confidence interval for a proportion with a finite population correction

Description

Usage

Value

Arguments

Examples