Mean, median, and mode are measures of central tendency used to summarize a dataset by describing the "average" or "typical" value of the data.

Mean: The mean, also known as the average, is calculated by summing up all the values in a dataset and dividing by the total number of values. It is sensitive to extreme values (outliers) and is commonly used in symmetric distributions.

Median: The median is the middle value in a dataset when the values are arranged in ascending or descending order. If there is an even number of values, the median is the average of the two middle values. The median is less affected by extreme values and is often used in skewed distributions.

Mode: The mode is the value that appears most frequently in a dataset. Unlike the mean and median, which represent central values, the mode represents the most common value or category in the data. It is used in categorical or discrete datasets.

Mean, median, or mode? Each tells a different

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