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Q: What is the distribution with a mean of 0 and a standard deviation of 1 called?
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A standard normal distribution has a mean of and standard deviation of?

Mean 0, standard deviation 1.


The mean of the distribution is 2.89 with a standard?

The mean of a distribution gives no information about the standard deviation.


What does standard deviation describes?

Standard deviation describes the spread of a distribution around its mean.


What is the standard deviation of the mean of 9.65?

It depends on what the distribution is. In a Normal or Gaussian distribution, the standard deviation is the square root of the mean, so it could be 3.1 but, again, it depends on the distribution.


How does standard normal distribution differ from normal distribution?

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


The mode and standard deviation of a distribution are 55 and 4.33 respectively?

The statement is probably: The mean and standard deviation of a distribution are 55 and 4.33 respectively.


Difference between standard deviation and mean devition?

The mean deviation (also called the mean absolute deviation) is the mean of the absolute deviations of a set of data about the data's mean. The standard deviation sigma of a probability distribution is defined as the square root of the variance sigma^2,


Why is the mean the standard partner of the standard deviation?

The mean and standard deviation often go together because they both describe different but complementary things about a distribution of data. The mean can tell you where the center of the distribution is and the standard deviation can tell you how much the data is spread around the mean.


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?

It is any standardised distribution.


What are the parameters of normal distribution?

The mean and standard deviation.


What is standard deviation of the mean?

If repeated samples are taken from a population, then they will not have the same mean each time. The mean itself will have some distribution. This will have the same mean as the population mean and the standard deviation of this statistic is the standard deviation of the mean.