how to calculate variance using expected value?
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Variance: Var(X) To calculate the Variance: square each value and multiply by its probability. sum them up and we get Σx2p. then subtract the square of the Expected Value μ
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['Compute the square of the difference between each value and the sample mean.', 'Add those values up.', 'Divide the sum by n-1. This is called the variance.', 'Take the square root to obtain the Standard Deviation.']
352717
To calculate the standard deviation (σ) of a probability distribution, find each deviation from its expected value, square it, multiply it by its probability, add the products, and take the square root.
56797
['square each value and multiply by its probability.', 'sum them up and we get Σx2p.', 'then subtract the square of the Expected Value μ']
142462
['Calculate the mean.', 'Subtract the mean from each observation.', 'Square each of the resulting observations.', 'Add these squared results together.', 'Divide this total by the number of observations (variance, S2).']
13771
To calculate the total variance, you would subtract the average actual value from each of the actual values, square the results and sum them. From there, divide the first sum of errors (explained variance) by the second sum (total variance), subtract the result from one, and you have the R-squared.
725369
To calculate sales volume variance, subtract the budgeted quantity sold from the actual quantity sold and multiply by the standard selling price. For example, if a company expected to sell 20 widgets at $100 a piece but only sold 15, the variance is 5 multiplied by $100, or $500.
393745
The standard deviation can be found by taking the square root of the variance. Therefore, the portfolio standard deviation is 16.6% (√(0.5²*0.06 + 0.5²*0.05 + 2*0.5*0.5*0.4*0.0224*0.0245)). Standard deviation is calculated, much like expected return, to judge the realized performance of a portfolio manager.
471572
Since this is a binomial, then you can use the formula σ2=npq. f. Once you have the variance, you just take the square root of the variance to find the standard deviation.
941424
['Download historical security prices for the asset whose beta you want to measure.', 'Download historical security prices for the comparison benchmark.', 'Calculate the percent change period to period for both the asset and the benchmark. ... ', 'Find the Variance of the asset using =VAR.']
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['Project duration expected E = 5 + 15 + 4 + 5 = 29 days (i.e. the total of te-s for activities on the Critical Path).', 'Variance of the Critical Path = 2.79 + 2.79 + 0.45 + 0 = 6.03.', 'Standard Deviation (SD) of project duration is √6.03 = 2.46.']
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To calculate the variance, multiply the standard volume by the overhead rate. Multiply the actual volume by the overhead rate. Subtract the standard amount from the actual amount to get the variance. For example, your overhead rate is $10.
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Calculating Standard Error of the Mean First, take the square of the difference between each data point and the sample mean, finding the sum of those values. Then, divide that sum by the sample size minus one, which is the variance. Finally, take the square root of the variance to get the SD.
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Calculating variance is very similar to calculating standard deviation. Ensure your data is in a single range of cells in Excel. If your data represents the entire population, enter the formula "=VAR. P(A1:A20)." Alternatively, if your data is a sample from some larger population, enter the formula "=VAR.
237171
To figure out the variance, subtract 82.5 from the mean, which is 5.5 and then divide by N, which is the value of numbers, (in this case 10) minus 1. The result is a variance of about 9.17. Standard deviation is the square root of the variance so that the standard deviation would be about 3.03.
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['Summary. The Excel VAR function estimates the variance of a sample of data. ... ', 'Get variation of a sample.', 'Computed variance.', '=VAR (number1, [number2], ...)', 'number1 - First number or reference. number2 - [optional] Second number or reference.', 'The VAR function estimates the variance for a sample of data.']
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['To calculate the expected return of a portfolio, you need to know the expected return and weight of each asset in a portfolio.', "The figure is found by multiplying each asset's weight with its expected return, and then adding up all those figures at the end."]