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Mode Calculator

Calculate mode (most frequent value) in a dataset. Find modal value, frequency distribution, and multiple modes for statistical analysis and data interpretation.

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Enter Your Numbers

Enter numbers separated by commas, spaces, or line breaks. Repeating numbers is expected!

Results

Mode
5
Frequency
Appears 3 times
Total Numbers
7

📊 Explanation

The mode is 5, appearing 3 times in the dataset.

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Frequency Distribution

Value
Frequency
Bar
5MODE
3
10
2
20
1
30
1

Understanding the Mode

The mode is the value that appears most frequently in a dataset. It's a measure of central tendency that identifies the most common or popular value. Unlike mean and median, mode can be used with both numerical and categorical data.

Types of Mode

  • Unimodal: One value appears most frequently
  • Bimodal: Two values tie for highest frequency
  • Trimodal: Three values tie for highest frequency
  • Multimodal: Multiple values share the highest frequency
  • No Mode: All values appear with equal frequency

Example Calculations

Single Mode (Unimodal)

  • Dataset: 1, 2, 2, 3, 4, 2, 5
  • Mode: 2 (appears 3 times)

Multiple Modes (Bimodal)

  • Dataset: 1, 1, 2, 3, 3, 4
  • Modes: 1 and 3 (both appear 2 times)

No Mode

  • Dataset: 1, 2, 3, 4, 5
  • Result: No mode (all appear once)

When to Use Mode

  • Categorical Data: Finding the most popular choice (colors, brands, categories)
  • Discrete Values: Identifying most common shoe size, number of children, etc.
  • Business Analysis: Most frequently purchased product, common transaction amount
  • Survey Data: Most common response in multiple choice questions
  • Quality Control: Most frequent defect type or failure mode

Mode vs Mean vs Median

  • Mean: Arithmetic average. Best for normally distributed numerical data.
  • Median: Middle value. Best when data has outliers or is skewed.
  • Mode: Most frequent value. Best for categorical data or finding what's typical.
  • Example: [1, 2, 2, 2, 100] → Mode: 2, Median: 2, Mean: 21.4

Properties of Mode

  • Can be used with categorical (non-numeric) data
  • A dataset may have one mode, multiple modes, or no mode
  • Always a value from the original dataset (unlike mean/median)
  • Not affected by extreme values
  • Useful for identifying peaks in distributions
  • Less commonly used than mean or median for numeric analysis

Practical Applications

  • Retail: Most popular product size or color
  • Demographics: Most common age group or family size
  • Education: Most frequent test score
  • Manufacturing: Most common component specification
  • Healthcare: Most frequent diagnosis or symptom

Frequently Asked Questions

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