The variance of the dataset is the square of their standard deviation
The variance of the dataset is 0.307
The dataset is given as;
0.0625 0.25 0.5 1.5
Calculate the mean using:
μ = Sum/Count
So, we have:
μ = (0.0625 + 0.25 + 0.5 + 1.5)/4
Evaluate
μ = 0.578125
The variance is then calculated using:
[tex]\sigma^2 = \frac{\sum(x - \mu)^2}{n}[/tex]
So, we have:
[tex]\sigma^2[/tex] = [(0.0625 - 0.578125)^2 + (0.25 - 0.5781250^2 + (0.5 - 0.578125)^2 + (1.5 - 0.578125)^2]/4
Evaluate
[tex]\sigma^2[/tex] = 1.2294921875/4
Divide
[tex]\sigma^2[/tex] = 0.30737304687
Approximate
[tex]\sigma^2[/tex] = 0.307
Hence, the variance of the dataset is 0.307
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