Stat > Basic Statistics
> 2-Sample Poisson Rate

This procedure
compares two samples from Poisson processes by performing hypothesis tests
and calculating confidence intervals
for the difference between the two populations'

·
occurrence rates

·
mean numbers of occurrences

A Poisson process describes the number of occurrences of an event in
a given length of time, area, volume, etc.

For example,

·
The daily number of telephone calls to a customer service center

·
The number of flaws in a length of wire

## Dialog box items

Both samples are in
one column: Choose if you have entered raw data into a single column
with a second column of sample IDs identifying the samples.

Samples:
Enter the column containing the raw data.

Sample
IDs: Enter the column containing the sample IDs.

Frequency
column (optional): If your data consist of a single column of unique
values and a separate column containing their corresponding frequencies,
enter the frequency column.

Each sample is in its
own column: Choose if you entered raw data into separate columns
for each sample.

Sample
1: Enter the column containing the raw data for the first sample.

Sample
2: Enter the column containing the raw data for the second sample.

Frequency
columns (optional): If you have one column of unique values and
a separate column of their frequencies, enter the column containing the
frequencies for each sample. The first entry must correspond to Sample 1, and the second
value must correspond to Sample
2.

Summarized data:
Choose if you have summary values for the sample size
and total number of occurrences for both samples.

Sample
1:

Sample
size: Enter the sample size of the first sample.

Total
occurrences: Enter the total number of occurrences in the first
sample.

Sample
2:

Sample
size: Enter the sample size of the second sample

Total
occurrences: Enter the total number of occurrences in the second
sample.

<Options>