Média móvel simples (3)

(x1+x2+x3)/3.
Created by
Renato Passos, Eng. de Software
Reviewed by
Renato Passos, Eng. de Software

Last updated: Apr 18, 2026

MM₃
12,000

About this calculator

The Simple Moving Average is a statistical tool that calculates the average of a set of values considering only the last three values. It is useful for identifying trends in time series and evaluating the stability of a set of data.

The formula to calculate the Simple Moving Average is simple: (x1 + x2 + x3)/3, where x1, x2 and x3 are the last three values of the data set.

The Simple Moving Average is recommended to use in combination with other statistical tools to get a more comprehensive view of the data analysis. Additionally, it is essential to be careful with the choice of values considered, as this can affect the accuracy of the moving average.

The Simple Moving Average is especially useful in cases where you want to analyze trends in data that vary over time, such as monthly sales, daily temperature or daily production.

Frequently asked questions

What is the Simple Moving Average?

The Simple Moving Average is a statistical tool that calculates the average of a set of values considering only the last three values.

When to use the Simple Moving Average?

The Simple Moving Average is recommended to use in cases where you want to analyze trends in data that vary over time, such as monthly sales, daily temperature or daily production.

How to calculate the Simple Moving Average?

The formula to calculate the Simple Moving Average is simple: (x1 + x2 + x3)/3, where x1, x2 and x3 are the last three values of the data set.

What is important to consider when using the Simple Moving Average?

It is essential to be careful with the choice of values considered, as this can affect the accuracy of the moving average.

Can I use the Simple Moving Average in combination with other statistical tools?

Yes, the Simple Moving Average is recommended to use in combination with other statistical tools to get a more comprehensive view of the data analysis.

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