Central Tendency

Analyze central tendency with mean, median, mode, and quartiles

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Theory & Formula

Central Tendency

Measures of central tendency describe the center or typical value of a dataset. The three main measures are mean, median, and mode.

Mean (Average)

The sum of all values divided by the number of values. The mean is sensitive to outliers.

\(\bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i = \frac{x_1 + x_2 + ... + x_n}{n}\)

Median (Middle Value)

The middle value when data is arranged in order. The median is resistant to outliers.

For odd number of values: the middle value: \(\text{Median} = x_{(n+1)/2}\)
For even number of values: average of two middle values: \(\text{Median} = \frac{x_{n/2} + x_{n/2+1}}{2}\)

Mode (Most Frequent)

The value(s) that appear most frequently in the dataset. A dataset can have no mode, one mode, or multiple modes.

Range

The difference between the maximum and minimum values, showing the spread of the data.

\(\text{Range} = x_{\max} - x_{\min}\)
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