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Variance defined incase of a t-distribution is said to be

Variance incase of t-distribution is dependent over

When in distribution variance is defined and known, best sui

When in distribution variance is not defined and known, best

If z-score of normal distribution is 2.5, mean of distributi

If variance of sample parameter is less than or equal to var

Prediction of model includes variance of error term and para

If parameter μ is 11 and n of gamma distribution is 50 then

Amount of observations that will fall between ± 2(standard

Range of observations that will fall between ± 3(standard d