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Statistical Analysis • Data Science • Descriptive Statistics
Statistics CalculatorCalculate Mean • Median • Mode • Standard Deviation • Variance • Quartiles • Data Analysis
Mean & Median
Standard Deviation
Quartiles & IQR
Data Analysis
Quick Examples:
Data analysis
Separate numbers with commas, spaces, or new lines. Supports decimal numbers and negative values.
Sample Datasets:
• Normal distribution: 68, 70, 72, 72, 75, 78, 80
• Skewed right: 10, 15, 20, 25, 30, 100
• Bimodal: 5, 5, 10, 10, 15, 15, 20, 20
• With outliers: 50, 52, 53, 54, 55, 200
Understanding Statistical Measures
What Tells You Where the Center Is
Mean (Average): Great when you need the mathematical center, but sensitive to extreme values
Median: The actual middle value—perfect for skewed data or when outliers might be misleading
Mode: What shows up most often—helpful for categorical data or finding common patterns
Real-world tip: House prices? Use median. Test scores? Use mean. Most common shoe size? That's mode territory.
How Spread Out Your Data Is
Range: Simplest measure—just max minus min. Quick but gets thrown off by one weird value
Standard Deviation: The go-to measure for "typical" variation from the average
IQR: Looks at the middle 50%—ignores extremes, which is sometimes exactly what you want
Rule of thumb: Small standard deviation = consistent data. Large standard deviation = anything goes.
Quick Distribution Check
Symmetrical DataMean ≈ Median
Right SkewedMean > Median
Left SkewedMean < Median
Multiple PeaksCheck mode list
How Statistical Calculations Work
Statistical analysis helps understand data distribution and characteristics through various measures of central tendency, dispersion, and frequency.
Enter your dataset separated by commas, spaces, or new lines
Click "Calculate Statistics" to analyze the data
View comprehensive statistical measures and data summary
Copy the statistical summary for reporting or analysis
Understand your data distribution and characteristics