ci.poisson

Computes a confidence interval for a population Poisson rate. This function
requires the number of occurrences (f) of a specific event that were
observed over a specific period of time (t).

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.poisson function

<dl><dt>alpha</dt>
<dd>alpha value for 1-alpha confidence</dd>
<dt>f</dt>
<dd>number of event occurrences</dd>
<dt>t</dt>
<dd>time period</dd></dl>

Arguments

Confidence interval for a Poisson rate — ci.poisson

<dl>

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


<dt>f</dt>
<dd>number of event occurrences</dd>


<dt>t</dt>
<dd>time period</dd>

</dl>

ci.poisson: Confidence interval for a Poisson rate

Description

Usage

Value

Arguments

Details

References

Examples