Central Tendency is a term used to describe how a set of data points in a given dataset cluster around a single point or value. It is a measure of where the center of the data is located. Central Tendency is also sometimes referred to as a measure of central location.

Measures of central tendency are useful for quantifying a set of data points in order to draw general conclusions about the data. By looking at the average or most common value in a dataset, one is able to identify trends, make predictions, and gain insight that can help in making decisions.

There are three main measures of central tendency used in analyzing data sets: the mean, median, and mode. The mean is the average of all values in a dataset. The median is the numerical value that separates the higher values from the lower values in a dataset. The mode is the most frequently occurring value in a dataset. Each measure has its own merits and is useful in different types of situations when analyzing data.

Central Tendency is a useful tool for forecasting, analyzing data, and making decisions. It is commonly used in computer programming and cybersecurity to identify trends and make predictions.


– https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/measures-of-central-tendency/

– https://www.mathsisfun.com/data/measures-central-tendency.html

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