test.mean

Computes a one-sample t-test for a population mean using the estimated
mean, estimated standard deviation, sample size, and null hypothesis value.
Use the t.test function for raw data input. A confidence interval for a
population mean is a recommended supplement to the t-test (see ci.mean).

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

test.mean function

<dl><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>null hypothesis value of mean</dd></dl>

Arguments

Hypothesis test for a mean — test.mean

<dl>

<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>null hypothesis value of mean</dd>

</dl>

test.mean: Hypothesis test for a mean

Description

Usage

Value

Arguments

References

Examples