Mean and Standard Deviation of Frequency Distributions
Calculates the mean, variance, and standard deviation of the entered frequency distribution table.
Mean μ, variance σ₂, standard deviation σ0-1:\normalsize \\
n=f_1+f_2+\cdots+f_N\\
\mu={\large\frac{x_1f_1+x_2f_2+\cdots+x_Nf_N}{n}}\\
\sigma_n^2={\large\frac{(x_1-\mu)^2f_1+(x_2-\mu)^2f_2+\cdots+(x_N-\mu)^2f_n}{n}}\\
\sigma_n=\sqrt{\sigma_n^2}\\
\sigma_{n-1}^2={\large\frac{(x_1-\mu)^2f_1+(
n=f_1+f_2+\cdots+f_N\\
\mu={\large\frac{x_1f_1+x_2f_2+\cdots+x_Nf_N}{n}}\\
\sigma_n^2={\large\frac{(x_1-\mu)^2f_1+(x_2-\mu)^2f_2+\cdots+(x_N-\mu)^2f_n}{n}}\\
\sigma_n=\sqrt{\sigma_n^2}\\
\sigma_{n-1}^2={\large\frac{(x_1-\mu)^2f_1+(
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