Mean, Median, Mode Calculator

Calculate measures of central tendency for your dataset

Home Categories Math Mean, Median, Mode Calculator

Mean = Σx / n

Average

Median = Middle

Central value

Mode = Most Frequent

Common value

Minimum 1 number required

Quick Examples

Mean (Average)

Median (Middle)

Mode (Most Frequent)

None

Count (n)

Sum (Σx)

Min

Max

Range

Step-by-Step Breakdown

Step 1: Your Data

Step 2: Calculate Mean

Mean = () / =

Step 3: Calculate Median

Sorted:

Middle value = Average of middle values =

Step 4: Find Mode

All values appear only once → No mode

Most frequent value(s) →

Note: Step-by-step breakdown is hidden for datasets larger than 10 values for readability.

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About Mean, Median, Mode Calculator

What are Mean, Median, and Mode?

Mean, median, and mode are the three most common measures of central tendency in statistics. Each provides a different way to describe the "center" or typical value of a dataset.

Understanding Each Measure

Mean (Average)

The mean is calculated by summing all values and dividing by the count. It's sensitive to outliers and best for normally distributed data.

Formula: Mean = Σx / n

Median (Middle Value)

The median is the middle value when data is sorted. For even-count datasets, it's the average of the two middle values. It's resistant to outliers.

Formula:

  • Odd n: Middle value at position (n+1)/2
  • Even n: Average of values at positions n/2 and (n/2)+1

Mode (Most Frequent)

The mode is the value that appears most frequently. A dataset can have:

  • No mode - all values appear equally often
  • Unimodal - one mode
  • Bimodal - two modes
  • Multimodal - three or more modes

When to Use Each Measure

Measure Best For Avoid When
Mean Normally distributed data Outliers present
Median Skewed data, ordinal data Categorical data
Mode Categorical data, finding typical values All values unique

Example Calculation

Dataset: 2, 3, 3, 5, 7, 9, 10

  1. Mean: (2+3+3+5+7+9+10) / 7 = 39 / 7 ≈ 5.57
  2. Median: Middle value (4th value) = 5
  3. Mode: 3 (appears twice)

Practical Applications

  1. Education - Average test scores, grade distributions
  2. Business - Average sales, typical customer spending
  3. Research - Data analysis, survey results
  4. Finance - Average returns, typical transaction amounts
  5. Quality Control - Process measurements, defect rates

Tip: Use all three measures together for a complete picture of your data's central tendency. If they differ significantly, your data may be skewed.