A bag contains 19 unbiased coins and one coin with head on both sides. One coin drawn at random is tossed and head turns up. If the probability that the drawn coin was unbiased, is fracmathrmmmathrmn, gcd (mathrmm,mathrmn) = 1, then mathrmn^2 -mathrmm^2 is equal to :

Solution & Explanation

### Related Formula Bayes' Theorem for conditional probability is formulated as: P(E_1|H) = fracP(E_1) cdot P(H|E_1)P(E_1) cdot P(H|E_1) + P(E_2) cdot P(H|E_2) ### Core Logic Let the events be: E_1: Selection of an unbiased coin. E_2: Selection of the two-headed (biased) coin. H: Head turns up on the toss. Syllabus values: P(E_1) = frac1920, quad P(E_2) = frac120 P(H|E_1) = frac12, quad P(H|E_2) = 1 ### Step 1: Total Probability Calculation The overall probability of obtaining a head is: P(H) = P(E_1)P(H|E_1) + P(E_2)P(H|E_2) P(H) = frac1920 cdot frac12 + frac120 cdot 1 = frac1940 + frac240 = frac2140 ### Step 2: Apply Bayes Theorem We need the probability that the coin is unbiased given a head showed up: P(E_1|H) = fracfrac1940frac2140 = frac1921 Thus, fracmn = frac1921 implies m = 19, n = 21 since gcd(19, 21) = 1. ### Step 3: Evaluate final expression Calculate n^2 - m^2: n^2 - m^2 = 21^2 - 19^2 = 441 - 361 = 80 ### Pattern Recognition Bayes' Theorem split problems are easily handled by constructing paths: textunbiased path = 19 times 1 = 19, textbiased path = 1 times 2 = 2. Probability = frac1919+2 = frac1921. ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Mathematics: Probability

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More Probability Previous-Year Questions — Page 6

Q19 jee_main_2024_31_jan_morning Variance of Random Variable
Three rotten apples are accidently mixed with fifteen good apples. Assuming the random variable X to be the number of rotten apples in a draw of two apples, the variance of X is
  • A. frac37153
  • B. frac57153
  • C. frac47153
  • D. frac40153

Solution

### Core Logic Total apples = 18 (3 rotten, 15 good). Random variable X = \0, 1, 2\ representing the number of rotten apples. ### Step 1: Probability Distribution P(X = 0) = frac^15C_2^18C_2 = frac105153 P(X = 1) = frac^3C_1 times ^15C_1^18C_2 = frac45153 P(X = 2) = frac^3C_2^18C_2 = frac3153 ### Step 2: Expectation E(X) = 0 times frac105153 + 1 times frac45153 + 2 times frac3153 = frac51153 = frac13 ### Step 3: Variance E(X^2) = 0 times frac105153 + 1 times frac45153 + 4 times frac3153 = frac57153 Var(X) = E(X^2) - (E(X))^2 = frac57153 - left(frac13right)^2 = frac57153 - frac17153 = frac40153 ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Maths: Probability

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