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The probability that randomly selected calculator from a store is of brand r is proportional to r, r=1,2,..,6. Further, the probability of a calucltor of brand r being defective is `(7-r )/(21), r=1,2,..,6`. Then the probability that a calculator randomly selected from the store being defective is

A

`(8)/(63)`

B

`(13)/(63)`

C

`(55)/(63)`

D

`(50)/(63)`

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To solve the problem, we need to find the probability that a randomly selected calculator from the store is defective. Let's break down the solution step by step. ### Step 1: Define the Probability of Selecting Each Brand The probability of selecting a calculator of brand \( r \) (where \( r = 1, 2, \ldots, 6 \)) is proportional to \( r \). This means we can express the probability as: \[ P(B_r) = \lambda r \] where \( \lambda \) is a constant that we need to determine. ### Step 2: Find the Value of \( \lambda \) Since the total probability must sum to 1, we can write: \[ \sum_{r=1}^{6} P(B_r) = 1 \] Substituting our expression for \( P(B_r) \): \[ \sum_{r=1}^{6} \lambda r = 1 \] Calculating the sum of the first 6 natural numbers: \[ \sum_{r=1}^{6} r = \frac{6(6 + 1)}{2} = 21 \] Thus, we have: \[ \lambda \cdot 21 = 1 \implies \lambda = \frac{1}{21} \] ### Step 3: Define the Probability of a Defective Calculator The probability that a calculator of brand \( r \) is defective is given by: \[ P(D | B_r) = \frac{7 - r}{21} \] ### Step 4: Find the Joint Probability of Selecting a Defective Calculator We need to find the total probability that a calculator is defective, which can be expressed as: \[ P(D) = \sum_{r=1}^{6} P(D \cap B_r) = \sum_{r=1}^{6} P(D | B_r) P(B_r) \] Substituting the expressions we have: \[ P(D) = \sum_{r=1}^{6} \left(\frac{7 - r}{21}\right) \left(\frac{r}{21}\right) \] ### Step 5: Simplify the Expression This can be simplified as: \[ P(D) = \frac{1}{21^2} \sum_{r=1}^{6} (7 - r) r \] ### Step 6: Calculate the Sum Now we need to calculate the sum \( \sum_{r=1}^{6} (7 - r) r \): \[ \sum_{r=1}^{6} (7 - r) r = \sum_{r=1}^{6} (7r - r^2) = 7\sum_{r=1}^{6} r - \sum_{r=1}^{6} r^2 \] Calculating \( \sum_{r=1}^{6} r^2 \): \[ \sum_{r=1}^{6} r^2 = \frac{6(6 + 1)(2 \cdot 6 + 1)}{6} = \frac{6 \cdot 7 \cdot 13}{6} = 91 \] Now substituting back: \[ \sum_{r=1}^{6} r = 21 \quad \text{and} \quad \sum_{r=1}^{6} r^2 = 91 \] So, \[ \sum_{r=1}^{6} (7 - r) r = 7 \cdot 21 - 91 = 147 - 91 = 56 \] ### Step 7: Final Calculation Now substituting back into our probability expression: \[ P(D) = \frac{1}{21^2} \cdot 56 = \frac{56}{441} = \frac{8}{63} \] ### Conclusion The probability that a randomly selected calculator from the store is defective is: \[ \boxed{\frac{8}{63}} \]

To solve the problem, we need to find the probability that a randomly selected calculator from the store is defective. Let's break down the solution step by step. ### Step 1: Define the Probability of Selecting Each Brand The probability of selecting a calculator of brand \( r \) (where \( r = 1, 2, \ldots, 6 \)) is proportional to \( r \). This means we can express the probability as: \[ P(B_r) = \lambda r \] ...
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