Suppose the random variable W represents the weight, and assume that W is Normally distributed with the given mean and standard deviation.
Then Prob(140 < W < 220) = Prob[(140 - 145)/31 < Z < (220 - 145)/31]
where Z has a standard Normal distribution.
that is, Prob(-0.1613 < Z < 2.4194) = 1 - [Prob(-0.1613 < Z) + Prob(Z < 2.4194)
= 1 - (0.4359 + 0.0078) = 0.5563
So percentage of women = 100*0.5563 = 56% approx.
34.1% with the normal distribution.
To calculate the mean, coefficient of variation, and standard deviation in a program, you first need to collect the data into an appropriate data structure like an array or a list. Then, compute the mean by summing all the data points and dividing by the number of points. The standard deviation can be calculated by finding the square root of the average of the squared differences between each data point and the mean. Finally, the coefficient of variation is obtained by dividing the standard deviation by the mean and expressing it as a percentage.
Standard deviation is the variance from the mean of the data.
The mean is the average value and the standard deviation is the variation from the mean value.
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To calculate the standard deviation of a portfolio, you need to first determine the individual standard deviations of each asset in the portfolio, as well as the correlation between the assets. Then, you can use a formula that takes into account the weights of each asset in the portfolio to calculate the overall standard deviation. This helps measure the overall risk of the portfolio.
Standard deviation doesn't have to be between 0 and 1.
Standard deviation is the square root of the variance.
34.1% with the normal distribution.
To calculate the mean, coefficient of variation, and standard deviation in a program, you first need to collect the data into an appropriate data structure like an array or a list. Then, compute the mean by summing all the data points and dividing by the number of points. The standard deviation can be calculated by finding the square root of the average of the squared differences between each data point and the mean. Finally, the coefficient of variation is obtained by dividing the standard deviation by the mean and expressing it as a percentage.
Standard deviation is the variance from the mean of the data.
You can calculate standard deviation by addin the numbers of data that are together and dividing that number by the amount pieces of data.THAT IS TOTALLY INCORRECT.What was answered above was the calculation for getting an (mean) average.If you take five numbers for example 1, 2, 3, 4, 5 then the (mean) average is 3.But the standard deviation between them is 1.58814 and the variance is 2.5Also the population std. deviation will be 1.41421 and the population variance will be 2.see standard-deviation.appspot.com/
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
The distance between the middle and the inflection point is the standard deviation.
The standard deviation is the square root of the variance.
The mean is the average value and the standard deviation is the variation from the mean value.
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