The mean is 46.
The standard deviation in a standard normal distribution is 1.
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.
No, standard deviation is not a point in a distribution; rather, it is a measure of the dispersion or spread of data points around the mean. It quantifies how much individual data points typically deviate from the mean value. A lower standard deviation indicates that the data points are closer to the mean, while a higher standard deviation indicates greater variability.
The statement is probably: The mean and standard deviation of a distribution are 55 and 4.33 respectively.
The standard deviation in a standard normal distribution is 1.
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 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.
Yes.
Standard deviation describes the spread of a distribution around its mean.
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.
124
The statement is probably: The mean and standard deviation of a distribution are 55 and 4.33 respectively.
It is called a standard normal distribution.