answersLogoWhite

0


Best Answer

Standard deviation doesn't have to be between 0 and 1.

User Avatar

Wiki User

โˆ™ 2010-11-01 17:39:02
This answer is:
User Avatar
Study guides

Algebra

20 cards

A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

โžก๏ธ
See all cards
3.79
โ˜†โ˜…โ˜†โ˜…โ˜†โ˜…โ˜†โ˜…โ˜†โ˜…
1440 Reviews

Add your answer:

Earn +20 pts
Q: Does standard deviation have to be between 0 and 1?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Other Math

Can standard deviation equal standard error?

If n = 1.


What is the standard deviation of 15 -5 14 8 -1 10 -6 1 0 4 -3 9?

It is 7.062


Can the Variance ever be smaller than standard deviation?

Yes. If the variance is less than 1, the standard deviation will be greater that the variance. For example, if the variance is 0.5, the standard deviation is sqrt(0.5) or 0.707.


Can standard deviation equals to variance?

The variance is the square of the standard deviation.This question is equivalent tocan s = s^2The answer is yes, but only in two cases.If the standard deviation is 1 exactly, then so is the variance.If the standard deviation is 0 exactly, then so is the variance.If the standard deviation is anything else, then it is not equal to the variance.You are not likely to find these special cases in practical problems, so from a practical sense, you should think that they are generally not equal.


What a large standard deviation means?

A large standard deviation means that the data were spread out. It is relative whether or not you consider a standard deviation to be "large" or not, but a larger standard deviation always means that the data is more spread out than a smaller one. For example, if the mean was 60, and the standard deviation was 1, then this is a small standard deviation. The data is not spread out and a score of 74 or 43 would be highly unlikely, almost impossible. However, if the mean was 60 and the standard deviation was 20, then this would be a large standard deviation. The data is spread out more and a score of 74 or 43 wouldn't be odd or unusual at all.

Related questions

What is the mean and standard deviation for the standard normal curve?

Mean = 0 Standard Deviation = 1


A standard normal distribution has a mean of and standard deviation of?

Mean 0, standard deviation 1.


Is the standard normal distribution has a mean of 1 and standard deviation of 0?

No.


What is the distribution with a mean of 0 and a standard deviation of 1 called?

standard normal


What is the distribution with an means of 0 and a standard deviation of 1?

It is called a standard normal distribution.


What is true of a standard normal probability distribution aA mean of 0 and a standard deviation of 1 b A mean of 1 and any standard deviation of 1 c Any mean and a standard deviatio?

a is true.


What is the distribution with a mean of 0 and a standard deviation of 1?

It is any standardised distribution.


What is the difference between standard deviation and coefficient of variation?

standard deviation only measures the average deviation of the given variable from the mean whereas the coefficient of variation is = sd\mean Written as "cv" If cv>1 More variation If cv<1 and closer to 0 Less variation


What is the standard deviation of a standard normal distribution?

The standard deviation in a standard normal distribution is 1.


How does standard normal distribution differ from normal distribution?

The standard normal distribution has a mean of 0 and a standard deviation of 1.


In the standard normal distribution the standard deviation is always what?

The standard deviation in a standard normal distribution is 1.


Which normal distribution is also the standard normal curve?

The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.

People also asked