Calculate standard deviation, variance, mean, sum of squares, and standard error of the mean
Count (n): 0
Mean (x̄): 0
Sum of Squares (SS): 0
Variance (σ² or s²): 0
Standard Deviation (σ or s): 0
Standard deviation is a measure of how spread out numbers are from their mean. A low standard deviation means the numbers are close to the mean, while a high standard deviation means the numbers are more spread out.
Population Standard Deviation: σ = √(Σ(x - μ)² / N)
Sample Standard Deviation: s = √(Σ(x - x̄)² / (n - 1))
Where: