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The distribution of x can be almost anything - apart from the Poisson distribution.

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Q: What is the distribution of x with a mean of 21 days and a standard deviation of 8 days?
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Related questions

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.


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 proportion are between 20 and 40 days old if there is Normal distribution with a mean of 28days and standard deviation of 8 days?

77.45%


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.