When working with data in Microsoft Excel, understanding how to interpret and analyze numbers is crucial. Two functions that play an essential role in this process are the PERCENTILE and the PERCENTILE.INC functions. While they may seem similar at first glance, there are subtle but important differences between them. This article explores these differences, helping users grasp when to use each function effectively.
Key Takeaways
- PERCENTILE and PERCENTILE.INC are used to calculate percentiles in a dataset, but they are not interchangeable.
- PERCENTILE has been replaced by PERCENTILE.INC in recent versions of Excel, yet both may exist in some spreadsheets.
- Understanding their syntax and arguments can help in selecting the right function for specific needs.
Purpose of Each Function
The PERCENTILE function returns the kth percentile of a range of values. Percentiles are often used in statistics to provide a sense of how a particular data point compares to the rest of the dataset. For instance, if you are evaluated in the 80th percentile, you performed better than 80% of your peers.
On the other hand, PERCENTILE.INC, which stands for “inclusive,” also calculates the kth percentile. However, it includes the endpoints of the data range. This means that when you use PERCENTILE.INC, you incorporate the lowest and highest values when determining the percentile, thus providing a more comprehensive view of the dataset’s distribution.
Syntax and Arguments Comparison
PERCENTILE Function
The syntax of the PERCENTILE function is as follows:
PERCENTILE(array, k)
- array: The range of cells containing the data.
- k: A value between 0 and 1 representing the percentile to calculate.
PERCENTILE.INC Function
The syntax of the PERCENTILE.INC function is similar:
PERCENTILE.INC(array, k)
- array: The range of cells containing the data, just like in PERCENTILE.
- k: Again, this is a value between 0 and 1 representing the percentile.
While their syntax might be identical, the key aspect to note is the method they use for percentile calculation, particularly at the extremes of the dataset.
Highlighting the Main Differences
Inclusivity:
- PERCENTILE.INC considers the entire dataset’s range, including the minimum and maximum values.
- PERCENTILE does not guarantee this inclusion, which could lead to a difference in results for edge cases.
Function Obsolescence:
- PERCENTILE is considered outdated and remains primarily for backward compatibility. Microsoft recommends using PERCENTILE.INC for all new work.
Future-proofing:
- Since PERCENTILE is being phased out in favor of newer functions like PERCENTILE.INC, it’s wise to adopt the latter for more sustainable practices.
Example Illustrating the Functions
To demonstrate the use of both functions, consider the following dataset, representing a set of exam scores:
| Score |
|---|
| 55 |
| 70 |
| 75 |
| 80 |
| 85 |
| 90 |
Suppose we want to find the 40th percentile of these scores.
Using PERCENTILE.INC:
=PERCENTILE.INC(A2:A7, 0.40)
Result: 75, since it takes into account the entire dataset.
Using PERCENTILE:
=PERCENTILE(A2:A7, 0.40)
Result: Here, it will typically yield the same result of 75, but in datasets where edge values impact percentile calculations, there could be variations.
Conclusion
In summary, while both PERCENTILE and PERCENTILE.INC serve the same core purpose of calculating percentiles, the latter is the recommended function to use going forward.
- PERCENTILE.INC is inclusive, providing a fuller picture of the dataset.
- It is also the function that aligns with current Excel conventions and best practices.
For anyone working with datasets in Excel, it is advisable to utilize PERCENTILE.INC to ensure that analyses are accurate and future-proof. Transitioning to this function will not only simplify Excel work but also foster a better understanding of statistical concepts with shared inclusivity.
