Information is not sufficient to find mean deviation and standard deviation.
No. Variance and standard deviation are dependent on, but calculated irrespective of the data. You do, of course, have to have some variation, otherwise, the variance and standard deviation will be zero.
Standard deviation can be greater than the mean.
The standard deviation tells us nothing about the mean.
B because the spread, in this case standard deviation, is larger.
Information is not sufficient to find mean deviation and standard deviation.
In general the mean of a truly random sample is not dependent on the size of a sample. By inference, then, so is the variance and the standard deviation.
Mean 0, standard deviation 1.
Mean = 0 Standard Deviation = 1
No. Variance and standard deviation are dependent on, but calculated irrespective of the data. You do, of course, have to have some variation, otherwise, the variance and standard deviation will be zero.
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
Mean and standard deviation are not related in any way.
Standard deviation can be greater than the mean.
Standard deviation is the variance from the mean of the data.
No. A small standard deviation with a large mean will yield points further from the mean than a large standard deviation of a small mean. Standard deviation is best thought of as spread or dispersion.
Standard deviation is a measure of variation from the mean of a data set. 1 standard deviation from the mean (which is usually + and - from mean) contains 68% of the data.
The standard deviation tells us nothing about the mean.