The standard deviation in a standard normal distribution is 1.
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.
No.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
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.
The standard deviation in a standard normal distribution is 1.
The standard deviation in a standard normal distribution is 1.
The answer depends on greater standard deviation that WHAT!
Mean 0, standard deviation 1.
Standard deviation describes the spread of a distribution around its mean.
Yes.
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.
It is called a standard normal distribution.