# Simple Average vs Weighted Average: Difference and Comparison

A simple average and a weighted average are Some of the world’s largest and most commonly used stats. Both weighted and averages have benefits and inconveniences, as well as specific applications.

## Key Takeaways

1. Simple averages calculate the sum of all values divided by the number of values, treating each value equally.
2. Weighted averages assign different weights to values, reflecting their relative importance.
3. Weighted averages provide a more accurate representation in situations where values have varying significance.

## Simple average vs Weighted average

A simple average is the sum of a set of numbers divided by the total number of numbers in the set. It treats all the numbers equally and gives them the same weight in the calculation of the average. A weighted average is one that takes into account the values and their importance or weight.

A set of observations’ simple averages is calculated by multiplying the total of the individual observations by the number of observations in the set.

The simple average, on the other hand, has a wide range of applications, and its computation is always aided in practice by supplementary averages, such as weighted averages or simple moving averages, due to its inability to be impacted by extreme values.

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## What is a Simple average?

The major advantage of the simple average is how simple it is to calculate.

However, one disadvantage of the simple average approach is that it may not accurately reflect an average, especially if the items in the collection have different significance.

As a result, a simple average is a useful approach for calculating the average of a group of variables with equal relevance. The use of a weighted average may be more accurate in other instances.

It is a technique for inventory valuation or delivery cost computation in which the average unit cost is determined by multiplying the total of these unit costs by the number of receiving, even if the inventory products have varying unit costs.

## What is the Weighted average?

The weighted average has one major flaw: the weights assigned might be subjective, which has an impact on the computation. In the case of basic calculations, however, this is not the situation.

A weighted average could be more precise than a basic average, which assigns the same weight to all values in a data collection.

The most common use of a weighted average is to equalize the frequency of values in a data collection.

If participants in a ballet class are assessed on skill, attendance, and etiquette, the skill grade may carry more weight than the other elements.

## Main Differences Between Simple average and Weighted average

1. Observations are believed to be similarly considered when using a simple average. In the case of a weighted average, on the other hand, a separate value is assigned for each observation, a unique value.

2. Outliners and absolute values impact the simple average, but neither the extreme value nor the outliners affect the weighted average.

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