Formulas Flashcards
Standard deviation and variance (sample)
Square root of [sum of the (x values take away the mean)^2 divided by the number of samples -1. Variance you don’t square
Standard deviation and variance (population)
Do not divide by number of samples minus 1. Just the number of samples.
Coefficient of variation
standard deviation divided by mean multiplied by 100
Probability of event E
Number of outcomes corresponding to event E divided by total number of outcomes (essentially a fraction)
Standardization for normal comparison
z = [X-mean] divided by standard deviation
F ratio
explained variance divided by unexplained variance
Explained variance
[Sum of (best estimate of y - mean of y)^2] divided by number of predictors
Unexplained variance
[Sum of (individual observations of Y - best estimation of Y)^2] divided by (n-number of predictors-1)
Variance on regression?
Sum of squares divided by degrees of freedom
Regression coefficient
Regression sum of squares of Y divided by total sum of squares
Durbin Watson autocorrelation statistic
Sum of successive squared differences divided by sum of squared residuals