ci.stdmean

ci.stdmean1

Computes a confidence interval for a population standardized mean
difference from a hypothesized value. If the hypothesized value is set
to 0, the reciprocals of the confidence interval endpoints gives a
confidence interval for the coefficient of variation (see ci.cv).
ci.stdmean1 is deprecated and will soon be removed from statpsych; please switch to ci.stdmean

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.stdmean function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>m</dt>
<dd>estimated mean</dd>
<dt>sd</dt>
<dd>estimated standard deviation</dd>
<dt>n</dt>
<dd>sample size</dd>
<dt>h</dt>
<dd>hypothesized value of mean</dd></dl>

Arguments

Confidence interval for a standardized mean — ci.stdmean

<dl>

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


<dt>m</dt>
<dd>estimated mean</dd>


<dt>sd</dt>
<dd>estimated standard deviation</dd>


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


<dt>h</dt>
<dd>hypothesized value of mean</dd>

</dl>

ci.stdmean: Confidence interval for a standardized mean

Description

Usage

Value

Arguments

References

Examples