# Mean

## Definition of Mean

Mean: Mean is a mathematical calculation used to calculate the average of a set of numbers.

## How is the Mean used?

The Mean is a statistical measure used in data analysis and machine learning to evaluate the central tendency of a given set of numerical values. It is calculated by adding up all the values in the dataset, then dividing that sum by the total number of values in the dataset. This results in a single value that represents the average or “central” value of the entire set. The mean is also known as an arithmetic average because it requires the addition and division of multiple numbers.

In data science, Machine Learning and other scientific fields, means play an important role in helping to make sense of larger datasets with numerous elements. Mean scores are usually used to compare two or more datasets with similar characteristics, so that any differences between them can be quantified. Additionally, means can be used to determine trends within a given dataset over time. For example, if someone were tracking how much money they spent each month for six months, they could calculate their mean spending for those six months as a way of getting an idea for their overall monthly spending habits.

Data scientists often use means to identify outliers within their datasets; large deviations from the mean score are likely indicators that something unusual has occurred or that some kind of error was made when entering data into the system. This makes it easier for data analysts to identify mistakes or anomalies before drawing conclusions based on their observations or making predictions about future outcomes using sophisticated machine learning algorithms.

Overall, means are one of many tools available to data scientists and machine learning engineers that help them make sense out of large datasets and understand patterns and relationships between variables over time.