ci.prop

Computes adjusted Wald (Agresi-Coull), Wilson, and exact confidence intervals
for a population proportion. The Wilson confidence interval uses a
continuity correction.

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 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></dl>

Arguments

Confidence intervals for a proportion — ci.prop

<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>

</dl>

ci.prop: Confidence intervals for a proportion

Description

Usage

Value

Arguments

References

Examples