answersLogoWhite

0

No. The expected value is the mean!

User Avatar

Wiki User

10y ago

Still curious? Ask our experts.

Chat with our AI personalities

ViviVivi
Your ride-or-die bestie who's seen you through every high and low.
Chat with Vivi
BlakeBlake
As your older brother, I've been where you are—maybe not exactly, but close enough.
Chat with Blake
MaxineMaxine
I respect you enough to keep it real.
Chat with Maxine

Add your answer:

Earn +20 pts
Q: Is the expected value the same as the standard deviation?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Other Math

What are the units of measurement of standard deviation?

Standard deviation has the same unit as the data set unit.


Why does the formula for standard deviation have a square root in it?

The formula for standard deviation has both a square (which is a power of 2) and a square-root (a power of 1/2). Both must be there to balance each other, to keep the standard deviation value's magnitude similar to (having the same units as) the sample numbers from which it's calculated. If either is removed from the formula, the resulting standard deviation value will have different units, reducing its usefulness as a meaningful statistic.


Is standard deviation and standard error the same?

mujy kia pata


When would the standard deviation of a data set be zero?

Either when there is a single data item, or when all data items have exactly the same value.


What determines the standard deviation to be high?

Standard deviation is a measure of the scatter or dispersion of the data. Two sets of data can have the same mean, but different standard deviations. The dataset with the higher standard deviation will generally have values that are more scattered. We generally look at the standard deviation in relation to the mean. If the standard deviation is much smaller than the mean, we may consider that the data has low dipersion. If the standard deviation is much higher than the mean, it may indicate the dataset has high dispersion A second cause is an outlier, a value that is very different from the data. Sometimes it is a mistake. I will give you an example. Suppose I am measuring people's height, and I record all data in meters, except on height which I record in millimeters- 1000 times higher. This may cause an erroneous mean and standard deviation to be calculated.