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 standard deviation in a standard normal distribution is 1.
The standard deviation in a standard normal distribution is 1.
Yes, a normal distribution can have a standard deviation of 1. In fact, the standard normal distribution, which is a specific case of the normal distribution, has a mean of 0 and a standard deviation of 1. This allows for easy computation of z-scores, which standardize any normal distribution for comparison. Therefore, a normal distribution with a standard deviation of 1 is a valid and common scenario.
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.
The standard deviation in a standard normal distribution is 1.
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The answer depends on greater standard deviation that WHAT!
Yes, a normal distribution can have a standard deviation of 1. In fact, the standard normal distribution, which is a specific case of the normal distribution, has a mean of 0 and a standard deviation of 1. This allows for easy computation of z-scores, which standardize any normal distribution for comparison. Therefore, a normal distribution with a standard deviation of 1 is a valid and common scenario.
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.
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.