Expected Value And Variance

Submit Assignment Now!

Expected Value And Variance Assignment Help | Expected Value And Variance Homework Help

Expected Value

The mean or expected value of a discrete distribution is the long-run average of occurrences. We must realize that one trial using a discrete random variable yields only one outcome. however, if the process is repeated long enough, the average of the outcomes are most likely to approach a long-run average, expected value, or mean value. This mean or expected value is computed as follows

μ = E(x)  =  Σ[x . P(x)]                  
where,
E(x)  = long-run average
      x = an outcome
 P(x) = probability of that outcome

Variance

The variance and standard deviation of discrete distribution are solved for by using the outcomes (x) and probabilities of outcomes [P(x)]  in a manner similar to that of computing a mean. in addition, the computation of variance and standard deviations use the mean of the discrete distributions. the formula for computing the variance follows:

σ2 = Σ [(x - μ)2 . P(x)]

where,
      x = an outcome
 P(x) = probability of given outcome
     μ  = mean

Expected value, Variance, Standard Deviation Homework Help at Tutorhelpdesk.com

Tutorhelpdesk.com offers online expected value, Variance, Standard Deviation homework help and expected value, Variance, Standard Deviation assignment help in all areas of Statistics. Our tutors are well trained and experienced in all topics starting from basic level Statistics to advanced college level Statistics. We provide homework assignment help in all areas of expected value, Variance, Standard Deviation.

For more help in Expected value, Variance, Standard Deviation click the button below to submit your homework assignment   

Submit Assignment Now!