The mean is 46.
The standard deviation in a standard normal distribution is 1.
If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
The standard deviation in a standard normal distribution is 1.
The statement is probably: The mean and standard deviation of a distribution are 55 and 4.33 respectively.
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.
The standard deviation in a standard normal distribution is 1.
If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
The standard deviation in a standard normal distribution is 1.
The answer depends on greater standard deviation that WHAT!
Mean 0, standard deviation 1.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
Standard deviation describes the spread of a distribution around its mean.
Yes.
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If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.
The statement is probably: The mean and standard deviation of a distribution are 55 and 4.33 respectively.
The mean of a distribution gives no information about the standard deviation.