Sample Standard Deviation
sqrt(1/n-1 x (sum(x - meanx)^2))
Sample Pearson Correlation
1/n-1 x ((sum(x-meanx)(y-meany)) / sx x sy)
where
sx = sample standard deviation of x
sy = sample standard deviation of y
Standard Deviation
sqrt((sum(x - meanx)^2)/N)
Sample Variance
(sum(x - meanx)^2)/N-1
Covariance
E(XY) - (EX)(EY)
1/N x sum(x-meanx)(y-meany)
Sample covariance
1/N-1 x sum(x-meanx)(y-meany)
Pearson product-moment correlation
cov(X,Y) / (σ_X)(σ_Y)
Sample correlation coefficient
sum((x-meanx)(y-meany)) / sqrt(sum((x-meanx)^2) x (sum((y-meany)^2))
Empirical Rule
68-95-99.7
Confidence level interval
(x - z* x (σ/sqrt(n)), x - z* x (σ/sqrt(n))).