Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.
Standard deviation is the square root of the mean. The mean for this set is (2 + 4 + 3 + 7)/4 = 16/4 = 4; the square root of this is 2.
Standard deviation has the same unit as the data set unit.
Standard deviation is the square root of the variance. Since you stated the variance is 4, the standard deviation is 2.
1.10
Yes, the variance of a data set is the square of the standard deviation (sigma) of the set. This means that the variance is always a positive number, even though the data might have a negative sigma value.
5
This would increase the mean by 6 points but would not change the standard deviation.
The standard deviation for the Woodcock-Johnson III Tests of Achievement is typically set at 15. This is consistent with many standardized tests, which use a mean of 100 and a standard deviation of 15 to represent scores on a normal distribution. This allows for the interpretation of individual test scores in relation to the broader population.
Standard deviation is the square root of the mean. The mean for this set is (2 + 4 + 3 + 7)/4 = 16/4 = 4; the square root of this is 2.
Standard deviation has the same unit as the data set unit.
A single number, such as 478912, always has a standard deviation of 0.
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.
Yes it does. The center, which is the mean, affects the standard deviation in a potisive way. The higher the mean is, the bigger the standard deviation.
Deviation, actually called "standard deviation" is, in a set of numbers, the average distance a number in that set is away from the mean, or average, number.
Standard deviation is the square root of the variance. Since you stated the variance is 4, the standard deviation is 2.
Standard deviation is a measure of how spread out a set of numbers are from each other. It has a variety of uses in statistics.
A single number, such as 478912, always has a standard deviation of 0.