The DVARP function in Excel is a powerful statistical tool used to calculate the variance of a dataset based on all entries in a selected database. This function is particularly beneficial when analyzing complete population data points rather than a sample, ensuring that the results reflect the entire dataset accurately. Understanding the use of DVARP can enhance your data analysis skills significantly, especially in fields such as finance, research, and statistics.
Syntax
DVARP(database, field, criteria)
- database: The range of cells that makes up the database, including headers.
- field: The column within the database from which to find data for the variance calculation, specified by either its name or its index number.
- criteria: The conditions that must be met for the entries in the database to be included in the calculation. This is usually a range where the criteria are specified.
Example #1
=DVARP(A1:C10, "Sales", E1:E2)
This function computes the variance of the ‘Sales’ column from the dataset in the range A1:C10, considering only the rows that meet the criteria specified in E1 and E2. If the ‘Sales’ column has values {100, 200, 150, 300}, the result could be approximately 4,000.
Example #2
=DVARP(A1:D100, 3, F1:F2)
Here, the DVARP function evaluates the variance for the third column within the data range A1:D100. It filters the data based on the conditions set in F1 and F2. Given specific criteria that narrow down the data, the calculated variance might emerge as 1,250.
Example #3
=DVARP(A1:A50, 1, G1:G2)
In this example, the function assesses variance from the first column (A) of the range A1:A50, applying the criteria set out in G1 and G2. If the necessary data fits the criteria, the outcome could return a variance value of 300.
Error handling
- DIV/0! – This error occurs if there are no entries that meet the criteria, resulting in no data for calculation.
- NAME? – This indicates that the field name provided does not match any headers in the database.
- VALUE! – This error arises when non-numeric values exist in the specified field, preventing proper variance calculation.