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.
.The test has a mean, or average, standard score of 100 and a standard deviation of 16 (subtests have a mean of 50 and a standard deviation of 8). The standard deviation indicates how far above or below the norm the subject's score is.
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.
Information is not sufficient to find mean deviation and standard deviation.
It is a measure of the spread of the data around its mean value.
z-score of a value=(that value minus the mean)/(standard deviation)
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.
It means the results (the information given) are spread out meaning the space in-between the results is quite big
Mean and standard deviation are not related in any way.