Step 1: Simplify the given sums by a change of variable.
Let \(y_i = x_i - 4\).
We are given:
Number of observations, \(N = 11\).
Sum of the new observations: \(\sum_{i=1}^{11} (x_i - 4) = \sum_{i=1}^{11} y_i = 22\).
Sum of squares of the new observations: \(\sum_{i=1}^{11} (x_i - 4)^2 = \sum_{i=1}^{11} y_i^2 = 154\).
Step 2: Calculate the mean and variance of \(y_i\). The mean of \(y_i\) is \(\bar{y}\): \[ \bar{y} = \frac{\sum y_i}{N} = \frac{22}{11} = 2 \] The variance of \(y_i\) is \(Var(y)\): \[ Var(y) = \frac{\sum y_i^2}{N} - (\bar{y})^2 \] \[ Var(y) = \frac{154}{11} - (2)^2 \] \[ Var(y) = 14 - 4 = 10 \] Step 3: Relate the mean and variance of \(y_i\) to those of \(x_i\).
If \(y_i = x_i - C\), then:
The mean of \(x_i\) is \(\bar{x} = \bar{y} + C\).
The variance of \(x_i\) is \(Var(x) = Var(y)\).
In this case, \(C = 4\).
The mean of the observations \(x_i\) is \(\alpha\): \[ \alpha = \bar{x} = \bar{y} + 4 = 2 + 4 = 6 \] The variance of the observations \(x_i\) is \(\beta\): \[ \beta = Var(x) = Var(y) = 10 \] Step 4: Determine the roots of the quadratic equation.
The roots of the quadratic equation are given as \(\frac{\alpha}{\beta}\) and \(\frac{\beta}{\alpha}\).
The roots are \(\frac{6}{10}\) and \(\frac{10}{6}\).
Simplify the roots: \(\frac{3}{5}\) and \(\frac{5}{3}\).
Step 5: Form the quadratic equation.
A quadratic equation with roots \(r_1\) and \(r_2\) is given by \(x^2 - (r_1 + r_2)x + (r_1 r_2) = 0\). Calculate the sum of the roots: \[ S = \frac{3}{5} + \frac{5}{3} = \frac{3 \times 3 + 5 \times 5}{5 \times 3} = \frac{9 + 25}{15} = \frac{34}{15} \] Calculate the product of the roots: \[ P = \left(\frac{3}{5}\right) \times \left(\frac{5}{3}\right) = 1 \] Now, substitute these values into the quadratic equation formula: \[ x^2 - \left(\frac{34}{15}\right)x + 1 = 0 \] To remove the fraction, multiply the entire equation by 15: \[ 15x^2 - 34x + 15 = 0 \]
Let the Mean and Variance of five observations $ x_i $, $ i = 1, 2, 3, 4, 5 $ be 5 and 10 respectively. If three observations are $ x_1 = 1, x_2 = 3, x_3 = a $ and $ x_4 = 7, x_5 = b $ with $ a>b $, then the Variance of the observations $ n + x_n $ for $ n = 1, 2, 3, 4, 5 $ is
Find the mean of the following distribution:
\[\begin{array}{|c|c|c|c|c|c|c|c|} \hline \textbf{Class-interval} & 11-13 & 13-15 & 15-17 & 17-19 & 19-21 & 21-23 & 23-25 \\ \hline \text{Frequency} & \text{7} & \text{6} & \text{9} & \text{13} & \text{20} & \text{5} & \text{4} \\ \hline \end{array}\]