There are two primary methods to classify amounts:
- Stratified using numeric ranges
- Classified according to a date value.
The purpose of the stratified attribute sampling command is to analyze a population to be sampled in order to determine the number of samples to be selected. This command prepares a count for each strata. From this information a sample may be determined and then assessed using the saacc command - stratified attribute sampling - assessment).
An example of the report is available.
To perform such a test and have the results available in electronic work paper format, the following processing information is explained below:
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| Description | Value |
|---|
| Select | Specify 'OK' to have this row processed, otherwise it will be skipped |
| Data Source | Specify the name of the Excel workbook, including directory or the name of the Access database which has the data to be analyzed |
| Command Name |
sapop |
| Command Description |
Count the number of items in the population by strata. |
| Table | Must enter either a sheet name followed by $ or else enter an Access table name |
| Where | An optional row selection statement may be made to narrow the analysis to just certain rows |
| Column |
The name of the strata column must be specified here |
| Column String |
Must be a series of three column names as follows: column with attribute to be tested, name of strata column, name of column which contains a selection indicator, i.e. whether the row has been selected for sampling. |
| Parm1 |
The count or number of samples to be determined using Neyman's allocation method logy |
| parm2 |
The precision of the confidence interval, e.g. .95. If amount expressed is larger than 1, then it is divided by 100 to arrive at an amount between 0 and 1. |
| Theme | A theme, such as summer, fall, winter, spring, pink, orange, green etc |
| Title | A chart title, if desired, may be specified here |
| Example Chart |
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