Keskiostosarvo

Keskiostosarvo, also known as the mean deviation, is a statistical measure used to assess the average distance between each data point and the mean of a dataset. It provides insight into the variability or dispersion of a set of data points. Unlike the standard deviation, which squares the differences before averaging, the keskiostosarvo takes the absolute differences, making it less sensitive to outliers.

To calculate the keskiostosarvo, follow these steps:

1. Find the mean (average) of the dataset.

2. Calculate the absolute differences between each data point and the mean.

3. Sum these absolute differences.

4. Divide the sum by the number of data points.

The formula for keskiostosarvo (MD) is:

MD = (1/n) * Σ|Xi - X̄|

where Xi represents each data point, X̄ is the mean, and n is the number of data points.

Keskiostosarvo is particularly useful when the data is not normally distributed or when outliers are present, as it provides a more robust measure of dispersion. However, it is less commonly used than the standard deviation in statistical analysis.