1-Sample Poisson Rateoverview how to example data see also
1-Sample Poisson RateStat > Basic Statistics > 1-Sample Poisson Rate
This procedure calculates a confidence interval for the occurrence rate and the mean number of occurrences of events in a one-sample Poisson process, and conducts a hypothesis test that the occurrence rate is equal to a specified value.
A Poisson process describes the number of occurrences of an event in a given length of time, area, or volume, etc.
For example,
One or more samples, each in a column: Choose if you have raw data in columns.
Sample columns: Enter the columns containing the sample data.
Frequency columns (optional): If you have one column of unique values and a separate column of their frequencies, enter the column containing the frequencies.
Summarized data: Choose if you have summary values for the sample size and total number of occurrences.
Sample size: Enter a single value for the sample size.
Total occurrences: Enter the total number of number of occurrences. If you enter multiple values, Minitab performs a separate analysis for each sample, and applies the single value in Sample size to all summarized samples.
Perform hypothesis test: Check to perform the hypothesis test that the occurrence rate is equal to a specified value.
Hypothesized rate: Enter the value of the rate for the test's null hypothesis.