First mean is calculated.
Then calculate deviations from the mean.
Then the deviations are squared.
Then the squared deviations are summed up.
Finally this sum is divided by number of items for which the variance is being calculated. For a population, it is by the number of values, in this case 12. If it is a sample, then we divide by one less, which is 11,
For these figures, the variance for the population is 11069.24306. If it is a sample, it is 12075.53788 as the result.
The variance is: 34.2678571429
Square the standard deviation to obtain the variance. The variance is 62 or 36.
5
The sample variance is obtained by dividing SS by the degrees of freedom (n-1). In this case, the sample variance is SS/(n-1) = 300/(4-1) = 300/3 = 100 In order to get the standard error, you can do one of two things: a) divide the variance by n and get the square root of the result: square.root (100/4) = square.root(25) = 5, or b) get the standard deviation and divide it by the square root of n. 10/square.root(4) = 10/2 = 5
Analysis of daily wages of workers in two organisations A and B yielded the following results: Organisation A B No. of workers 10 20 Average daily wages (Rs) 30 15 Variance 25 100
14, 25, 112 and 415.
The variance is: 34.2678571429
Square the standard deviation to obtain the variance. The variance is 62 or 36.
The Electric Company - 1971 415 4-25 was released on: USA: 22 November 1974
5
It is 4.7
415,025
To find what 10/25 is as a decimal, divide the numerator by the denominator. 10 divided by 25 is 0.4
You multiply 25 by .40 to get 40% of 25. 25*.40=10
To order from least to greatest, simply list each number from the smallest size to the biggest size, separating each number by a comma. The sequence would be 23, 25, 415.
To find 10% of 40, you would multiply 40 by 0.10, which equals 4. To find 25% of 40, you would multiply 40 by 0.25, which equals 10. Therefore, 10 is indeed 25% of 40, as 10 is one-fourth (25%) of 40.
The sample variance is obtained by dividing SS by the degrees of freedom (n-1). In this case, the sample variance is SS/(n-1) = 300/(4-1) = 300/3 = 100 In order to get the standard error, you can do one of two things: a) divide the variance by n and get the square root of the result: square.root (100/4) = square.root(25) = 5, or b) get the standard deviation and divide it by the square root of n. 10/square.root(4) = 10/2 = 5