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What else can I help you with?
Suppose the standard deviation is 36 Find the variance?
Variance is 362 or 1296.
Find the variance for 5.0 8.0 4.9 6.8 2.8?
The variance is: 3.96
How do you find the z score of 12.5?
To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.
Find the variance of these numbers 77 93 96 96 99?
The variance is: 76.7
Is variance the square root of standard deviation?
No, you have it backwards, the standard deviation is the square root of the variance, so the variance is the standard deviation squared. Usually you find the variance first, as it is the average sum of squares of the distribution, and then find the standard deviation by squaring it.
Suppose the variance is 64 Find the standard deviation?
Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.
How do you find range when all you have is the variance?
You cannot.
Where can you find information about the Peerless model?
I have a Stevens Peerless model I'm in need of a magazine and information about this old rifle.
How do you do variance?
you have to first find the Mean then subtract each of the results from the mean and then square them. then you divide by the total amount of results and that gives you the variance. If you square root the variance you will get the standard deviation
How do you work out variance?
you have to first find the Mean then subtract each of the results from the mean and then square them. then you divide by the total amount of results and that gives you the variance. If you square root the variance you will get the standard deviation
What is difference between the amount budgeted and the actual amount is called?
Difference between actual amount and budgeted amount is called "Variance" and variance analysis is done to find out the reasons for variance
How do you find coefficient of determination?
The coefficient of determination, denoted as ( R^2 ), is calculated by taking the ratio of the variance explained by the regression model to the total variance in the dependent variable. It is derived from the formula ( R^2 = 1 - \frac{SS_{res}}{SS_{tot}} ), where ( SS_{res} ) is the sum of the squares of the residuals (the differences between observed and predicted values) and ( SS_{tot} ) is the total sum of squares (the variance of the observed data). A value of ( R^2 ) close to 1 indicates that the model explains a large portion of the variance, while a value close to 0 suggests that it explains very little.
