To solve the problem of finding the variance of the random variable \(x\), which represents the number of rotten apples in a draw of two apples from a mixture of rotten and good apples, we need to proceed with the following steps:
Step 1: Determine probabilities.
Step 2: Establish the probability distribution of \(x\).
Step 3: Calculate the expected value \(E(x)\).
Step 4: Calculate the expected value of \(x^2\), \(E(x^2)\).
Step 5: Calculate the variance \(Var(x)\).
Thus, the variance of \(x\) is \( \frac{40}{153} \), matching the given correct answer.
Consider 3 bad apples and 15 good apples. Let \( X \) be the number of bad apples drawn. The probabilities are:
\[ P(X = 0) = \frac{\binom{15}{2}}{\binom{18}{2}} = \frac{105}{153} \] \[ P(X = 1) = \frac{\binom{3}{1} \cdot \binom{15}{1}}{\binom{18}{2}} = \frac{45}{153} \] \[ P(X = 2) = \frac{\binom{3}{2}}{\binom{18}{2}} = \frac{3}{153} \]Calculate the expected value \( E(X) \):
\[ E(X) = 0 \times \frac{105}{153} + 1 \times \frac{45}{153} + 2 \times \frac{3}{153} = \frac{51}{153} = \frac{1}{3} \]Compute the variance:
\[ \text{Var}(X) = E(X^2) - (E(X))^2 \] \[ E(X^2) = 0^2 \times \frac{105}{153} + 1^2 \times \frac{45}{153} + 2^2 \times \frac{3}{153} = \frac{57}{153} \] \[ \text{Var}(X) = \frac{57}{153} - \left( \frac{1}{3} \right)^2 = \frac{57}{153} - \frac{1}{9} = \frac{40}{153} \]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 variance of the following frequency distribution:
| Class Interval | ||||
| 0--4 | 4--8 | 8--12 | 12--16 | |
| Frequency | 1 | 2 | 2 | 1 |
A conducting bar moves on two conducting rails as shown in the figure. A constant magnetic field \( B \) exists into the page. The bar starts to move from the vertex at time \( t = 0 \) with a constant velocity. If the induced EMF is \( E \propto t^n \), then the value of \( n \) is _____. 