17.3.10.1 One-Sample Poisson Rate Test Dialog Box


Contents

Supporting Information

To open the One-Sample Poisson Rate Test Dialog:

  1. With a worksheet active, select Statistics: Hypothesis Testing: One-Sample Poisson Rate Test...


See Also:


Input Data

Input Data Form
  • Summarized
Perform the test using summary statistics not the actual sample data in the worksheet. And you can enter them into the dialog box manually.
  • Raw
Perform the test using a dataset in a column.
Input Data

(Summarized)

  • Sample Size
The total number of observations.
  • Total Occurrence
The number of times an event occurs in the sample.
Input Data

(Raw)

  • Sample
Specify a column as the sample dataset.
  • Frequency
This is optional option. Frequency column summarize the number of times that the value of the Sample column.
Exposure Specify the observation period for the count data, such as time, area, volume, number of items, and so on. By default, it is set to 1.

Poisson Rate Test

Test Rate The hypothetical rate to be tested
Null Hypothesis The null hypothesis to be tested (Rate = Test Rate).
Alternative Hypothesis Options:
Rate <> Test Rate
A two-tailed Poisson rate test that seeks to answer whether the sampled rate = Test Rate.
Rate > Test Rate
An upper-tailed Poisson rate test that seeks to answer whether the sampled rate is larger than the Test Rate.
Rate < Test Rate
A lower-tailed Poisson rate test that seeks to answer whether the sampled rate is less than the hypothetical rate .
Significance Level The significance level of the test.
Confidence Interval(s) Compute confidence interval for the true (population) rate.
Confidence Level(s) in % Specifies the confidence levels for which the confidence intervals will be computed. This option is only available when Confidence Interval(s) is selected.

Test Method

Origin uses two methods for computing p values and confidence intervals for one-sample poisson rate tests:

Exact There is not requirement for the sample size when use Exact method. It is ideal for small samples and low-frequency events.
Normal Approximation The Normal Approximation is always calculated. The quality of the approximation tends to improve as sample size increases.

Output

For help with the range controls, see: Output Results

Graphical Summary Report Create a the graphical summary report, and result tables will also been attached to the graph to show the statistical values.

The footnote after the summary graph will diagnose these statistical results.

Output Results Specify the worksheet for output of test results
Output Plot Data Specify a worksheet for output of plotted data (Origin generates tabular data when plots are created).