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It is know that a box of 8 batteries c...

It is know that a box of 8 batteries contains 3 defective pieces and a person randomly selects 2 batteries form this box. Find the probability distrubtion of the number of defective batteries.

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To solve the problem of finding the probability distribution of the number of defective batteries when selecting 2 batteries from a box of 8 (which contains 3 defective and 5 non-defective), we will follow these steps: ### Step 1: Define the Random Variable Let \( X \) be the random variable representing the number of defective batteries selected. The possible values of \( X \) are 0, 1, and 2. ### Step 2: Calculate Total Outcomes The total number of ways to choose 2 batteries from 8 is given by the combination formula: \[ \text{Total outcomes} = \binom{8}{2} = \frac{8!}{2!(8-2)!} = \frac{8 \times 7}{2 \times 1} = 28 \] ### Step 3: Calculate Probability for Each Case We will calculate the probability for each possible value of \( X \). #### Case 1: \( X = 0 \) (0 defective batteries) To select 0 defective batteries, we select 2 from the 5 non-defective batteries: \[ P(X = 0) = \frac{\binom{3}{0} \cdot \binom{5}{2}}{\binom{8}{2}} = \frac{1 \cdot 10}{28} = \frac{10}{28} = \frac{5}{14} \] #### Case 2: \( X = 1 \) (1 defective battery) To select 1 defective battery, we select 1 from the 3 defective and 1 from the 5 non-defective: \[ P(X = 1) = \frac{\binom{3}{1} \cdot \binom{5}{1}}{\binom{8}{2}} = \frac{3 \cdot 5}{28} = \frac{15}{28} \] #### Case 3: \( X = 2 \) (2 defective batteries) To select 2 defective batteries, we select both from the 3 defective: \[ P(X = 2) = \frac{\binom{3}{2} \cdot \binom{5}{0}}{\binom{8}{2}} = \frac{3 \cdot 1}{28} = \frac{3}{28} \] ### Step 4: Summarize the Probability Distribution Now we can summarize the probability distribution of \( X \): - \( P(X = 0) = \frac{5}{14} \) - \( P(X = 1) = \frac{15}{28} \) - \( P(X = 2) = \frac{3}{28} \) ### Step 5: Verify the Probabilities Sum to 1 To ensure the probabilities are valid, we check if they sum to 1: \[ P(X = 0) + P(X = 1) + P(X = 2) = \frac{5}{14} + \frac{15}{28} + \frac{3}{28} \] Converting \( \frac{5}{14} \) to a fraction with a denominator of 28: \[ \frac{5}{14} = \frac{10}{28} \] Now summing: \[ \frac{10}{28} + \frac{15}{28} + \frac{3}{28} = \frac{28}{28} = 1 \] ### Final Probability Distribution Table The final probability distribution can be represented as follows: | Number of Defective Batteries (X) | Probability \( P(X) \) | |-------------------------------------|--------------------------| | 0 | \( \frac{5}{14} \) | | 1 | \( \frac{15}{28} \) | | 2 | \( \frac{3}{28} \) |
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