The mean is the average of the numbers in your results. For example if your results are 7, 3 and 14, then your mean is 8. Numerically, (7+3+14)/3
The standard deviation measures how widely spread the values in a data set are.
Information is not sufficient to find mean deviation and standard deviation.
Standard deviation can be greater than the mean.
Yes. Consider the definition of the standard deviation. It is the square root of the variance from the mean. As a result, it can be said that the standard deviation is dependent on the mean.
The standard deviation tells us nothing about the mean.
B because the spread, in this case standard deviation, is larger.
There is no such thing. Maybe your professor meant , Standard Deviation, The Mean. (2 different things.)
If "standard" is meant to be standard deviation, the answer is the second.
Information is not sufficient to find mean deviation and standard deviation.
To see how wide spread the results are. If the average (mean) grade for a certain test is 60 percent and the standard deviation is 30, then about half of the students are not studying. But if the mean is 60 and the standard deviation is 5 then the teacher is doing something wrong.
z-score of a value=(that value minus the mean)/(standard deviation)
It is a measure of the spread of the data around its mean value.
Mean 0, standard deviation 1.
Mean = 0 Standard Deviation = 1
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.
Standard deviation can be greater than the mean.
Standard deviation is the variance from the mean of the data.
Mean and standard deviation are not related in any way.