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The expected value of the standard normal distribution is equal to the total amount of the value. It is usually equal to it when the value works out to be the same.

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Q: What is the expected value of the standard normal distribution equal to?
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Related questions

What is the perfect standard normal distribution?

The standard normal distribution is a subset of a normal distribution. It has the properties of mean equal to zero and a standard deviation equal to one. There is only one standard normal distribution and no others so it could be considered the "perfect" one.


Area to the left of the mean in a normal distribution is equal to?

One standard deviation


What are the median and mode of a normal distribution if the mean is 22 and the standard deviation is 4?

The mean, median, and mode of a normal distribution are equal; in this case, 22. The standard deviation has no bearing on this question.


What information do you need to calculate a probability with a normal distribution?

Only the mean, because a normal distribution has a standard deviation equal to the square root of the mean.


Why is t score equal to z score in a normal distribution?

Because as the sample size increases the Student's t-distribution approaches the standard normal.


When the population standard deviation is unknown the sampling distribution is equal to what?

The answer will depend on the underlying distribution for the variable. You may not simply assume that the distribution is normal.


Is the middle spread that is the middle 50 percent of the normal distribution is equal to one standard deviation?

false


What value of Z from the standard normal distribution table has an area to the left probability equal to 0.0764?

-1.43 (approx)


What value of Z from the standard normal distribution has an area probability to the right equal to 0.0643?

z = 1.52 (approx)


Does mode equal median in a normal distribution?

Yes, mode equals median in a normal distribution.


Are these true of normal probability distribution IIt is symmetric about the mean TTotal area under the normal distribution curve is equal to 1 DDistribution is totally described by two quantities?

Yes, it is true; and the 2 quantities that describe a normal distribution are mean and standard deviation.


The total area under a normal distribution is infinite?

The total area under a normal distribution is not infinite. The total area under a normal distribution is a continuous value between any 2 given values. The function of a normal distribution is actually defined such that it must have a fixed value. For the "standard normal distribution" where μ=0 and σ=1, the area under the curve is equal to 1.

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