Mean μ = 63.3
Standard deviation σ = 3.82
Standard error σ / √ n = 3.82 / √ 19 = 0.8763681
z = (xbar - μ) / (σ / √ n )
z = (61.6-63.3) / 0.876368
z = -1.9398
The standard deviation of the population. the standard deviation of the population.
Square the standard deviation and you will have the variance.
Yes
No.
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
=stdev(...) will return the N-1 weighted sample standard deviation. =stdevp(...) will return the N weighted population standard deviation.
The standard deviation of the population. the standard deviation of the population.
we calculate standard deviation to find the avg of the difference of all values from mean.,
You calculate the standard error using the data.
Square the standard deviation and you will have the variance.
Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.
Yes
No.
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
Standard deviation = square root of variance.
The standard deviation if the data is a sample from a population is 7.7115; if it is the population the standard deviation is 7.0396.
Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.