ci.mean.gen

Computes confidence intervals for three population generalized means
(square-root, geometric, and harmonic) using a vector of response scores as
input. The square-root mean requires non-negative scores. The geometric and
harmonic means require positive scores. The standard errors are recovered
from the confidence intervals.

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

ci.mean.gen function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>y</dt>
<dd>vector of scores</dd></dl>

Arguments

Confidence intervals for generalized means — ci.mean.gen

<dl>

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


<dt>y</dt>
<dd>vector of scores</dd>

</dl>

ci.mean.gen: Confidence intervals for generalized means

Description

Usage

Value

Arguments

Examples