TV Sample                 x f(x) x f(x) xf(x) m-1.20 (x-m)^ f(x) (x-m)^(fx) Units sold Number of days             Variance 0 80 0 0.40 0.00 -1.20 1.44 0.40 0.576 1 50 1 0.25 0.25 -0.20 0.04 0.25 0.010 2 40 2 0.20 0.40 0.80 0.64 0.20 0.128 3 10 3 0.05 0.15 1.80 3.24 0.05 0.162 4 20 4 0.10 0.40 2.80 7.84 0.10 0.784   200   1.00 1.20       1.660         E=1.20                               Standard Deviation                1.2884   Hello, This is a demonstration example where the answers are listed above but i am not understand how 1.2884 is the standard deviation where the variance is 1.660. what are the mathmatical functions needed to reach 1.2884. Thanks!

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Author:Amos Gilat
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TV Sample                
x f(x) x f(x) xf(x) m-1.20 (x-m)^ f(x) (x-m)^(fx)
Units sold Number of days             Variance
0 80 0 0.40 0.00 -1.20 1.44 0.40 0.576
1 50 1 0.25 0.25 -0.20 0.04 0.25 0.010
2 40 2 0.20 0.40 0.80 0.64 0.20 0.128
3 10 3 0.05 0.15 1.80 3.24 0.05 0.162
4 20 4 0.10 0.40 2.80 7.84 0.10 0.784
  200   1.00 1.20       1.660
        E=1.20        
             
        Standard Deviation 
              1.2884  

Hello, This is a demonstration example where the answers are listed above but i am not understand how 1.2884 is the standard deviation where the variance is 1.660. what are the mathmatical functions needed to reach 1.2884. Thanks!

 

 

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Step 1

Relationship between variance and standard deviationstandard deviation=variance

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