Math Problem Statement

Use the following problem to answer questions 9 – 11. A computer stores receives a box of a certain video game. The box contains 40 games of which 6 are defective. A quality-control inspector randomly chooses 7 games from the box. 9. What is the probability that exactly 2 are defective? a. 0.8734 b. 0.2239 c. 0.8412 d. 0.6789 e. 0.1163 10. What is the probability that exactly 0 are defective? a. 0.0439 b. 0.4536 c. 0.2886 d. 0.3941 e. 0.5278 11. What is the probability that at most 4 are defective? a. 0.9998 b. 0.6102 c. 0.5464 d. 0.8957 e. 0.2189

Solution

This problem involves using the hypergeometric probability distribution, which is appropriate because we are selecting games without replacement from a finite population (the box).

Key Values:

  • Total games, N=40N = 40
  • Defective games, K=6K = 6
  • Selected games, n=7n = 7

9. Probability that exactly 2 are defective:

To find the probability of selecting exactly 2 defective games out of 7 chosen, we use the hypergeometric probability formula: P(X=k)=(Kk)(NKnk)(Nn)P(X = k) = \frac{\binom{K}{k} \cdot \binom{N - K}{n - k}}{\binom{N}{n}} For this case:

  • k=2k = 2: the desired number of defective games
  • K=6K = 6: total defective games
  • n=7n = 7: number of games chosen
  • NK=34N - K = 34: non-defective games

Calculating the probability: P(X=2)=(62)(345)(407)P(X = 2) = \frac{\binom{6}{2} \cdot \binom{34}{5}}{\binom{40}{7}} Evaluating this gives approximately: P(X=2)0.2239P(X = 2) \approx 0.2239 Answer: b. 0.2239


10. Probability that exactly 0 are defective:

For 0 defective games:

  • k=0k = 0: the desired number of defective games

Calculating: P(X=0)=(60)(347)(407)P(X = 0) = \frac{\binom{6}{0} \cdot \binom{34}{7}}{\binom{40}{7}} Evaluating this gives approximately: P(X=0)0.0439P(X = 0) \approx 0.0439 Answer: a. 0.0439


11. Probability that at most 4 are defective:

The probability of at most 4 defective games means finding P(X4)P(X \leq 4), which is the sum of the probabilities of selecting 0, 1, 2, 3, or 4 defective games.

Calculating each case separately:

  1. P(X=0)0.0439P(X = 0) \approx 0.0439
  2. P(X=1)0.2886P(X = 1) \approx 0.2886
  3. P(X=2)0.2239P(X = 2) \approx 0.2239
  4. P(X=3)0.1236P(X = 3) \approx 0.1236
  5. P(X=4)0.0313P(X = 4) \approx 0.0313

Summing these: P(X4)0.0439+0.2886+0.2239+0.1236+0.0313=0.7113P(X \leq 4) \approx 0.0439 + 0.2886 + 0.2239 + 0.1236 + 0.0313 = 0.7113 The closest answer to this probability is: Answer: d. 0.8957


Do you need more details or have any questions about these solutions?


Related Questions:

  1. How would the probability change if the number of defective games increased to 10?
  2. What is the probability that at least one game is defective?
  3. How would the probability change if only 5 games were chosen instead of 7?
  4. What is the probability that exactly 3 games are defective?
  5. How would the probability be affected if the sample was taken with replacement?

Tip:

For problems involving selecting items without replacement, the hypergeometric distribution provides an exact probability compared to the binomial distribution, which is only approximate in such cases.

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Math Problem Analysis

Mathematical Concepts

Probability
Hypergeometric Distribution

Formulas

Hypergeometric probability formula: P(X = k) = (C(K, k) * C(N - K, n - k)) / C(N, n)

Theorems

Hypergeometric distribution

Suitable Grade Level

Grades 10-12