Statistics - Calculator
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Mean Value: \(\overline{x} = \frac{1}{n} \ \sum_{i=1}^n x_i = \) NaN
Variance: \( \sigma^2 = \frac{1}{n-1} \sum_{i=1}^n (x_i - \overline{x})^2 =\) NaN
Standard Deviation: \(\sigma = \sqrt{\sigma^2} = \) NaN
Error of Mean: \(s_{\overline{x}} = \frac{\sigma}{\sqrt{n}} =\) NaN