When should I use mean vs median?

Use mean for normally distributed data without outliers. Use median when data is skewed or has outliers, as median is less affected by extreme values. For example, median income is often more representative than mean income.

What if there's no mode in my data?

If no value repeats, there is no mode. If multiple values tie for highest frequency, the data is multimodal (has multiple modes). Mode is most useful for categorical data or when you want to know the most common value.

How do outliers affect these statistics?

Outliers strongly affect the mean and range but have little effect on the median and mode. If your data has outliers, median might be a better measure of central tendency than mean.

Can I calculate averages for non-numeric data?

Mode can be calculated for any type of data (colors, categories, etc.). Mean and median require numeric data. For ordinal data (rankings), median can sometimes be meaningful.

Average Calculator – Mean, Median, Mode, Range

Calculate mean, median, mode, and range for any set of numbers. Comprehensive statistical analysis with detailed explanations.

Average Calculator – Mean, Median, Mode, Range

Calculate mean, median, mode, and range for any set of numbers. Comprehensive statistical analysis with detailed explanations.

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Understanding Different Types of Averages

There are several ways to find the "average" or central tendency of a dataset. Each type of average provides different insights into your data and is useful in different situations.

Types of Averages

Different measures of central tendency:

Mean: Sum of all values divided by count (most common average)
Median: Middle value when data is arranged in order
Mode: Most frequently occurring value in the dataset
Range: Difference between highest and lowest values (measures spread)
Weighted Average: Average where some values count more than others

How to Use This Calculator

Follow these simple steps to get accurate results:

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Review the detailed breakdown and explanation

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