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JEE Mains · Maths · STD 12 - 13. probability

From a lot of \(10\) items, which include \(3\) defective items, a sample of \(5\) items is drawn at random. Let the random variable \(\mathrm{X}\) denote the number of defective items in the sample. If the variance of \(X\) is \(\sigma^2\), then \(96 \sigma^2\) is equal to ....................

  1. A \(56\)
  2. B \(87\)
  3. C \(61\)
  4. D \(12\)
Verified Solution

Answer & Solution

Correct Answer

(A) \(56\)

Step-by-step Solution

Detailed explanation

\(\mathrm{X}=\) denotes number of defective \(X\) \(0\) \(1\) \(2\) \(3\) \(\mathrm{P}(\mathrm{x}) \) \(\frac{7}{15}\) \(\frac{5}{12}\) \(\frac{5}{12}\) \(\frac{1}{12}\) \( \mathrm{x}_1^2 \) \(0\) \(1\) \(4\) \(9\) \( \mathrm{P}_{\mathrm{i}} \mathrm{x}_1^2 \) \(0\)…