17.3.11.1 Two-Sample Poisson Rate Test Dialog Box

Contents

Supporting Information

To open the Two-Sample Poisson Rate Test Dialog:

  1. With a worksheet active, select Statistics: Hypothesis Testing: Two-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 dataset that each group of sample is in a separate column.
  • Indexed
Perform the test on input data consisting of one sample data column and one "grouping" column. The grouping column should contain information on the two populations of interest, indexed (by row number) to the sample data column.
Input Data

(Summarized)

  • Sample Size of Sample1
The total number of sample1 .
  • Total Occurrence of Sample1
The number of times an event occurs in the sample1.
  • Sample Size of Sample2
The total number of sample2.
  • Total Occurrence of Sample2
The number of times an event occurs in the sample2.
Input Data

(Raw)

  • Sample1
Specify a column as the sample1 dataset.
  • Frequency of Sample1
Frequency column summarize the number of times that the value of the Sample1 column.
  • Sample2
Specify a column as the sample2 dataset.
  • Frequency of Sample2
Frequency column summarize the number of times that the value of the Sample2 column.
Input Data

(Indexed)

  • Sample
Specify a column as sample. This column includes sample data for two groups.
  • Group Range
Specify the group column.
  • Frequency
Frequency column summarize the number of times that the value of the sample column in the corresponding group .
Exposure(s)

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 Difference The hypothetical difference to be tested
Null Hypothesis Rate1 - Rate2 = Test Difference
Alternative Hypothesis Options:
Rate1 - Rate2 <> Test Difference
A two-tailed Poisson rate test that seeks to answer whether Rate1 - Rate2 = Test Difference.
Rate1 - Rate2 > Test Difference
An upper-tailed Poisson rate test that seeks to answer whether Rate1 - Rate2 is larger than the Test Difference.
Rate1 - Rate2 < Test Difference
A lower-tailed Poisson rate test that seeks to answer whether Rate1 - Rate2 is less than the Test Difference .
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 two-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.
Use pooled p for test Specify to use a pooled estimate of p for the test when Test Difference is 0

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).