EVALUATE command
Concept Information
For record sampling or monetary unit sampling, projects errors found in sampled data to the entire population, and calculates upper limits on deviation rate, or misstatement amount.
Syntax
EVALUATE RECORD CONFIDENCE confidence_level SIZE sample_size ERRORLIMIT number_of_errors <TO {SCREEN|filename}>
Parameters
Note
Do not include thousands separators, or percentage signs, when you specify values.
Name | Description |
---|---|
RECORD |
Evaluate errors found in a record sample. |
CONFIDENCE confidence_level |
The same confidence level that you specified when you calculated the sample size. |
SIZE sample_size |
The number of records in the sample. Note Specify the actual sample size as drawn, which might differ from the sample size initially calculated by Analytics. |
ERRORLIMIT number_of_errors |
The total number of errors, or deviations, that you found in the sample. |
TO SCREEN | filename |
The location to send the results of the command to:
|
Analytics output variables
Name | Contains |
---|---|
MLEn |
The Upper error limit frequency rate (computed upper deviation rate) calculated by the command. |
Examples
Project errors found in the sampled data to the entire population
You have completed your testing of the sampled data and recorded the control deviations you found. You can now project the errors you found to the entire population.
The example below projects two errors found in the sampled data to the entire population, and calculates an upper error limit frequency rate (computed upper deviation rate) of 6.63%.
EVALUATE RECORD CONFIDENCE 95 SIZE 95 ERRORLIMIT 2 TO SCREEN
For a detailed explanation of how Analytics calculates values when evaluating errors, see Evaluating errors in a record sample.
Remarks
For more information about how this command works, see Evaluating errors in a record sample.
Syntax
EVALUATE MONETARY CONFIDENCE confidence_level <ERRORLIMIT book_value, misstatement_amount <,...n>> INTERVAL interval_value <TO {SCREEN|filename}>
Parameters
Note
Do not include thousands separators, or percentage signs, when you specify values.
Name | Description |
---|---|
MONETARY |
Evaluate errors found in a monetary unit sample. |
CONFIDENCE confidence_level |
The same confidence level that you specified when you calculated the sample size. |
ERRORLIMIT book_value,misstatement_amount |
All misstatement errors that you found in the sample. Specify the book value of the amount and the misstatement amount, separated by a comma. For example, if an amount has a book value of $1,000 and an audit value of $930, specify 1000,70. Specify overstatements as positive amounts, and understatements as negative amounts. For example, if an amount has a book value of $1,250 and an audit value of $1,450, specify 1250,-200. Separate multiple book_value, misstatement_amount pairs with a comma: 1000,70,1250,-200 |
INTERVAL interval_value |
The interval value that you used when you drew the sample. Note The interval value that you used might differ from the interval value initially calculated by Analytics. |
TO SCREEN | filename |
The location to send the results of the command to:
|
Analytics output variables
Name | Contains |
---|---|
MLEn |
The Most Likely Error amount (projected misstatement) calculated by the command. |
UELn |
The Upper Error Limit amount (upper misstatement limit) calculated by the command. |
Examples
Project errors found in the sampled data to the entire population
You have completed your testing of the sampled data and recorded the misstatements you found. You can now project the errors you found to the entire population.
The example below projects three errors found in the sampled data to the entire population, and calculates several values, including:
- Basic Precision the basic allowance for sampling risk (18,850.00)
- Most Likely Error the projected misstatement amount for the population (1,201.69)
- Upper Error Limit the upper misstatement limit for the population (22,624.32)
EVALUATE MONETARY CONFIDENCE 95 ERRORLIMIT 1000,70,1250,-200,3200,900 INTERVAL 6283.33 TO SCREEN
For a detailed explanation of how Analytics calculates values when evaluating errors, see Evaluating errors in a monetary unit sample.
Remarks
For more information about how this command works, see Evaluating errors in a monetary unit sample.