Measures of Central Tendency & Dispersion Central Tendency: Mean • Median Mode.
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Measures of central tendency are statistical values that describe the center point or typical value of a dataset, while measures of dispersion describe the spread or variability of the data.
Here's a breakdown of the central tendency measures you listed:
- Mean: The arithmetic average of a dataset, calculated by summing all values and dividing by the number of values. It is sensitive to outliers.
- Median: The middle value in a dataset when the values are arranged in ascending or descending order. If there's an even number of values, it's the average of the two middle values. It is less affected by outliers than the mean.
- Mode: The value that appears most frequently in a dataset. A dataset can have one mode (unimodal), multiple modes (multimodal), or no mode if all values appear with the same frequency.
Measures of dispersion, such as range, variance, and standard deviation, quantify how spread out the data points are from the central tendency.
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