ANOVA separates the total variation in a set of measurements into a component due to random fluctuations in the measurements and a component due to the actual differences among the alternatives.
Compares the coefficient of variance to some threshold
value.
Compares two alternative sets of measurements given a significance level alpha
.
Computes the confidence interval of the two alternatives.
Computes sum-of-squares due to differences between alternatives.
Computes sum-of-squares due to errors in measurements.
Let Y = (Y_1, .
Let Y = (Y_1, ..., Y_n) data resulting from a parametric law F of scalar parameter θ. A confidence interval (B_i, B_s) is a statistic in the form of an interval containing θ with a specified probability.
Computes the mean of the sequence of measurements.
The sample standard sample deviation.
The sample standard sample deviation. It is the square root of S², unbiased estimator for the variance.
Standard statistics utilities.
Note: significance level
alpha
is equal to1 - confidenceLevel
. If you want to be sure that 2 sets of measurements do not differ with90
percent probability, then the significance levelalpha
should be set to0.1
. In this example, the confidence level is0.9
, and the significance level is0.1
.