STATISTICSDescriptive StatisticsStatistics Calculator
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Mean Median Mode Calculator

Free mean median mode calculator. Arithmetic, geometric, harmonic, trimmed, weighted mean. Median, m

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Why This Statistical Analysis Matters

Why: Statistical calculator for analysis.

How: Enter inputs and compute results.

μ
STATISTICSDescriptive Statistics

Mean, Median, Mode — All Central Tendency Measures

Arithmetic, geometric, harmonic, trimmed, weighted mean. Median, mode (unimodal/bimodal/multimodal). Skewness indicator. Step-by-step breakdown.

Real-World Scenarios — Click to Load

Data Input

central_tendency.sh
CALCULATED
$ compute_central_tendency --n=14 --trim=10%
Mean
82.8571
Median
84.5000
Mode (No mode)
Trimmed (10%)
83.0833
Geometric
82.4142
Harmonic
81.9581
Weighted
82.8571
Skewness
Left-skewed
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Central Tendency Result
Mean, Median, Mode
x̄ = 82.857
Median: 84.500Mode: NoneSkew: Left-skewed
numbervibe.com/calculators/statistics/mean-median-mode-calculator

Central Tendency Comparison

Histogram

Mean: 82.86 | Median: 84.50

Running Mean vs Running Median

Calculation Breakdown

DATA
n
14
ext{Count} ext{of} ext{values}
Sum
1160.0000
Σxᵢ = 72 + 85 + 90 + 88 + 78 + ...
Arithmetic Mean
82.8571
x̄ = Σxᵢ/n = 1160.00/14
CENTRAL TENDENCY
Median
84.5000
50th ext{percentile} ext{of} ext{sorted} ext{data}
Mode(s)
None
Type: No mode
ROBUST MEASURES
Trimmed Mean (10%)
83.0833
Removed 1 from each tail
Geometric Mean
82.4142
(∏xᵢ)^(1/n) ext{for} ext{positive} ext{values}
Harmonic Mean
81.9581
n/\text{Sigma} (1/xᵢ) ext{for} ext{rates}
Weighted Mean
82.8571
Same as arithmetic (no weights)
INTERPRETATION
Skewness
Left-skewed (mean < median < mode)

⚠️For educational and informational purposes only. Verify with a qualified professional.

Key Takeaways

  • Mean: Σxᵢ/n — sensitive to outliers; use for symmetric data
  • Median: Middle value — robust; use for skewed data
  • Mode: Most frequent — unimodal, bimodal, or multimodal
  • Skewness: mean > median > mode → right-skewed; mean < median < mode → left-skewed
  • Trimmed mean: Removes k% from each tail — compromise between mean and median
  • Geometric mean: (∏xᵢ)^(1/n) — for growth rates, ratios
  • Harmonic mean: n/Σ(1/xᵢ) — for rates (e.g., average speed)
  • Weighted mean: Σ(wᵢxᵢ)/Σwᵢ — when values have different importance

Did You Know?

📊For symmetric distributions, mean = median = mode. For right-skewed (income), mean > median > mode.Source: NIST Handbook
📐The median minimizes the sum of absolute deviations; the mean minimizes the sum of squared deviations.Source: Wolfram MathWorld
🔢Geometric mean is always ≤ arithmetic mean (unless all values equal). Harmonic mean ≤ geometric ≤ arithmetic.Source: AM-GM-HM inequality
⏱️Average speed over equal distances uses harmonic mean: if you drive 60 mph there and 40 mph back, average speed = 48 mph (not 50).Source: Classic example
📈Weighted mean is used for GPA (grade × credit hours), stock indices, and survey results with different sample sizes.Source: Applied statistics
✂️Trimmed mean (e.g., 10%) removes the top and bottom 10% — used in Olympic judging and robust statistics.Source: Robust statistics

How Central Tendency Works

Mean = Σxᵢ/n

Sum all values, divide by count. The "average" in everyday use.

Median = Middle Value

Sort data; median is the middle (or average of two middle values). 50th percentile.

Mode = Most Frequent

Value(s) that appear most often. Unimodal (1), bimodal (2), or multimodal (3+).

Trimmed Mean

Remove k% from each tail, then average the rest. Reduces outlier impact.

Geometric vs Harmonic Mean

Geometric: (∏xᵢ)^(1/n) for growth. Harmonic: n/Σ(1/xᵢ) for rates.

Skewness and Central Tendency

DistributionRelationship
Symmetricmean = median = mode
Right-skewedmean > median > mode
Left-skewedmean < median < mode

Expert Tips

When to Use Each

Mean for symmetric data. Median for skewed or with outliers. Mode for categorical or discrete data with clear peaks.

Report Both Mean and Median

If they differ significantly, data is skewed. Reporting both gives a complete picture.

Frequently Asked Questions

When to use mean vs median?

Use mean for symmetric data without outliers. Use median for skewed data (income, house prices) or when outliers are present.

What is bimodal?

Bimodal means two values tie for the highest frequency. Common in mixed populations (e.g., heights of men and women combined).

What is the trimmed mean?

Trimmed mean removes a percentage from each tail (e.g., 10% top and 10% bottom) then averages the rest. Used in Olympic scoring.

When to use geometric mean?

For growth rates, ratios, or when values are multiplicative. Average of 2% and 8% growth is geometric: √(1.02×1.08)−1 ≈ 4.98%, not 5%.

When to use harmonic mean?

For rates (speed, density). If you drive 60 mph for 30 miles and 40 mph for 30 miles, average speed = 48 mph (harmonic of 60 and 40).

How to enter weighted data?

Use value,weight per line. Example: 3.5, 4 for grade 3.5 with 4 credit hours. The calculator computes weighted mean.

Formulas Reference

Mean = Σxᵢ / n

Arithmetic mean

Geometric mean = (∏xᵢ)^(1/n)

For positive values only

Harmonic mean = n / Σ(1/xᵢ)

For positive non-zero values

Weighted mean = Σ(wᵢxᵢ) / Σwᵢ

When weights differ

Central Tendency by the Numbers

Σ/n
Arithmetic mean
50%
Median percentile
∏^(1/n)
Geometric mean
n/Σ(1/x)
Harmonic mean

Applications

Education

GPA (weighted mean), test scores (mean/median), grade distributions (mode).

Finance

Average returns (geometric mean), portfolio weights (weighted mean).

Demographics

Income (median for skewness), house prices, age distributions.

Scientific Research

Report mean ± SD for symmetric data; median (IQR) for skewed. Trimmed mean for robustness.

Disclaimer: Choose the appropriate measure for your data. Mean for symmetric data; median for skewed; mode for categorical. Geometric and harmonic means require positive values.

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