A standard deviation is a statistical measure of the variation there in a population or group. A standard deviation of 1 means that 68% of the members of the population are withing plus or minus the value of the standard deviation from the average. For example: assume the average height of men is 5 feet 9 inches, and the standard deviation is three inches. Then 68% of all men are between 5' 6" and 6' which is 5'9" plus or minus 3 inches. [Note: this is only to illustrate and is not intended to be a real/correct statistic of men's heights.]
Mean 0, standard deviation 1.
Mean = 0 Standard Deviation = 1
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.
a is true.
Assuming a normal distribution 68 % of the data samples will be with 1 standard deviation of the mean.
Mean = 0 Standard Deviation = 1
Mean 0, standard deviation 1.
16.5 is 1 standard deviation from the mean. If you add the mean of 14 to the 1 standard deviation of 2.5, the result is 16.5.
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.
a is true.
Assuming a normal distribution 68 % of the data samples will be with 1 standard deviation of the mean.
No.
Information is not sufficient to find mean deviation and standard deviation.
To have a mean of 5 and a standard deviation of 1, a set of numbers can be constructed such that the average of the numbers equals 5, while their spread from that average is consistent with a standard deviation of 1. For example, the numbers 4, 5, and 6 meet these criteria: their mean is (4 + 5 + 6) / 3 = 5, and the standard deviation is calculated to be 1. Other combinations of numbers can also satisfy these conditions, as long as they maintain the same mean and standard deviation.
For the numbers 4, 43, 63, 84, 54, 84 and 1, the standard deviation is 34.20943896 and the mean is 47.57142857.
with mean of and standard deviation of 1.
standard normal