Math Problem Statement

The manager of a store buys marine radios in lots of 48. Suppose that, on the average, 2 out of each group of 48 are defective. The manager randomly selects 4 radios out of the group to test. Assume independence. (Round your answers to 4 decimal places.) (a) What is the probability that he will find 2 defective radios? (b) What is the probability that he will find no defective radios?

Solution

This problem involves hypergeometric probability since the manager is sampling without replacement from a finite population. Here's how we approach the problem:

Definitions

  • Population size (N): 48 (total radios in the lot)
  • Number of defective items (K): 2 (defective radios in the lot)
  • Sample size (n): 4 (radios selected for testing)
  • Number of successes (x): The number of defective radios found in the sample.

The hypergeometric probability formula is:

P(X=x)=(Kx)(NKnx)(Nn)P(X = x) = \frac{\binom{K}{x} \cdot \binom{N - K}{n - x}}{\binom{N}{n}}

Where:

  • (ab)\binom{a}{b} is the number of combinations, calculated as a!b!(ab)!\frac{a!}{b!(a-b)!}.

Calculations

(a) Probability of finding 2 defective radios (x=2x = 2):

P(X=2)=(22)(462)(484)P(X = 2) = \frac{\binom{2}{2} \cdot \binom{46}{2}}{\binom{48}{4}}

  • (22)=1\binom{2}{2} = 1
  • (462)=46452=1035\binom{46}{2} = \frac{46 \cdot 45}{2} = 1035
  • (484)=484746454321=194580\binom{48}{4} = \frac{48 \cdot 47 \cdot 46 \cdot 45}{4 \cdot 3 \cdot 2 \cdot 1} = 194580

Substitute into the formula: P(X=2)=110351945800.0053P(X = 2) = \frac{1 \cdot 1035}{194580} \approx 0.0053

(b) Probability of finding no defective radios (x=0x = 0):

P(X=0)=(20)(464)(484)P(X = 0) = \frac{\binom{2}{0} \cdot \binom{46}{4}}{\binom{48}{4}}

  • (20)=1\binom{2}{0} = 1
  • (464)=464544434321=211876\binom{46}{4} = \frac{46 \cdot 45 \cdot 44 \cdot 43}{4 \cdot 3 \cdot 2 \cdot 1} = 211876
  • (484)=194580\binom{48}{4} = 194580 (already computed)

Substitute into the formula: P(X=0)=12118761945800.9722P(X = 0) = \frac{1 \cdot 211876}{194580} \approx 0.9722

Final Answers

(a) The probability of finding 2 defective radios is 0.0053.

(b) The probability of finding no defective radios is 0.9722.


Would you like further explanations or help with similar problems? Here are some related questions to consider:

  1. What is the probability of finding exactly 1 defective radio?
  2. What is the probability of finding at least 1 defective radio?
  3. How does the probability change if the sample size is increased to 6 radios?
  4. What is the expected number of defective radios in a random sample of size 4?
  5. How would the calculations change if there were 3 defective radios in the lot instead of 2?

Tip: When solving hypergeometric problems, always verify whether sampling is with or without replacement, as this determines whether to use the hypergeometric or binomial distribution.

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Math Problem Analysis

Mathematical Concepts

Probability
Hypergeometric Distribution
Combinatorics

Formulas

P(X = x) = (C(K, x) * C(N-K, n-x)) / C(N, n)

Theorems

Hypergeometric Probability Theorem

Suitable Grade Level

College-level Statistics or Advanced High School Math