Let \( x_1, x_2, \ldots, x_{10} \) be ten observations such that
\[
\sum_{i=1}^{10} (x_i - 2) = 30, \quad \sum_{i=1}^{10} (x_i - \beta)^2 = 98, \quad \beta \geq 2,
\]
and their variance is \( \frac{4}{5} \). If \( \mu \) and \( \sigma^2 \) are respectively the mean and the variance of \( 2(x_1 - 1) + 4B, 2(x_2 - 1) + 4B, \ldots, 2(x_{10} - 1) + 4B \), then \( \frac{B\mu}{\sigma^2} \) is equal to: