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What is a population standard deviation of 2 6 15 9 11 22 1 4 8 19?
7.087547766 is the standard deviation for those figures.
What is the standard deviation for sample numbers 8 9 and 10?
For 8 9 10: σ=1
What is the mean variance and standard deviation for the numbers 2 4 8 2 9 1 7 11 4 7 1 10 1 5?
5.142857143 is the mean.12.43956044 is the variance.3.526976104 is the standard deviation.
What is the z score of x equals 124 The mean is 100 and the standard deviation is 8?
It is (124 - 100)/8 = 24/8 = 3
Without calculating the standard deviation why does the set 4 4 20 20 have a standard deviation of 8?
The mean is 12 and each observation is 8 units away from 12.
What is the standard deviation for 3 5 12 3 2?
From the online calculator, see related link, the standard deviation is 4.06202.
What is the standard deviation of 15 -5 14 8 -1 10 -6 1 0 4 -3 9?
It is 7.062
What is the standard deviation of 1 2 3 4 5 6 7 8 9 10?
Variance = 2.87 (approx).
What is a population standard deviation of 2 6 15 9 11 22 1 4 8 19?
7.087547766 is the standard deviation for those figures.
What is the standard deviation for sample numbers 8 9 and 10?
For 8 9 10: σ=1
What is the mean variance and standard deviation for the numbers 2 4 8 2 9 1 7 11 4 7 1 10 1 5?
5.142857143 is the mean.12.43956044 is the variance.3.526976104 is the standard deviation.
What is the z score of x equals 124 The mean is 100 and the standard deviation is 8?
It is (124 - 100)/8 = 24/8 = 3
What is the standard deviation of 3 5 6 4 7 7 8?
2√(17/21), or about 1.8.
What is meant by the mean and standard deviation of a set of results?
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.
Without calculating the standard deviation why does the set 4 4 20 20 have a standard deviation of 8?
The mean is 12 and each observation is 8 units away from 12.
If mean is 8 median is 6 and standard deviation is 2 what is skewness?
Karl Pearson simplified the topic of skewness and gave us some formulas to help. The first is the Pearson mode or first skewness coefficient. It is defined by the (mean-median)/standard deviation. So in this case the Pearson mode is: (8-6)/2 =1 There is also the Pearson Median. This is also called second skewness coefficient. It is defined as 3(mean-median)/standard deviation which in this case is 6/2 =3 hence the distribution is positive skewed
Suppose the variance is 64 Find the standard deviation?
Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.
