0
They are measures of the spread of distributions about their mean.
Wiki User
∙ 11y ago
Add your answer:
Earn +20 pts
Why standard deviation is better measure of variance?
1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!
How do you calculate variance given standard deviation?
Square the standard deviation and you will have the variance.
Which measure of variation is appropriate when using the mean?
The variance or standard deviation.
How do you calculate standard deviation if I know variance?
Standard deviation = square root of variance.
Can standard deviation and variance be negative?
No. Neither the standard deviation nor the variance can ever be negative.
Why standard deviation is better measure of variance?
1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!
What does the standard deviation tell us?
standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2
What is the relationship between standard deviation and variance?
Standard deviation is the square root of the variance.
Which measure of variation is appropriate when using the mean?
The variance or standard deviation.
Can standard deviation be larger then its variance?
No. The standard deviation is the square root of the variance.
How do you calculate variance given standard deviation?
Square the standard deviation and you will have the variance.
How do you calculate standard deviation if I know variance?
Standard deviation = square root of variance.
Is the variance of a group of scores the same as the squared standard deviation?
The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
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.
Standard deviation is 13.1 What is the variance?
Standard deviation, σ = 13.1 Variance, σ2 = 171.6
Is variance directly proportional to standard deviation?
Variance isn't directly proportional to standard deviation.
Can standard deviation and variance be negative?
No. Neither the standard deviation nor the variance can ever be negative.
