Data Input
Understanding Standard Deviation
Standard deviation measures the amount of variation or dispersion in a dataset.
Population Standard Deviation:
σ = √(Σ(x - μ)² / N)
σ = √(Σ(x - μ)² / N)
Sample Standard Deviation:
s = √(Σ(x - x̄)² / (n - 1))
s = √(Σ(x - x̄)² / (n - 1))
Key Concepts:
- Population: Complete set of data
- Sample: Subset of population
- Variance: Square of standard deviation
- Mean: Average of all values
Statistical Results
Count (n)
0
Mean (μ)
0
Sum
0
Sum of Squares
0
Population σ
0
Sample s
0
Population σ²
0
Sample s²
0
Data Distribution
Calculation Steps
1
Enter data in the input field to begin calculation
Applications
Statistics & Research
- Data analysis and interpretation
- Hypothesis testing
- Confidence intervals
- Quality control
Finance & Economics
- Investment risk assessment
- Portfolio volatility
- Market analysis
- Financial forecasting
Science & Engineering
- Experimental data analysis
- Measurement uncertainty
- Process control
- Quality assurance
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