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Probability appeared 35 times across 3 years — 4% of Mathematics. This question is from Total Probability Theorem.

Year 2026 2025 2024 Total
Questions 9 17 9 35

Bag 1 contains 4 white balls and 5 black balls, and Bag 2 contains n white balls and 3 black balls. One ball is drawn randomly from Bag 1 and transferred to Bag 2. A ball is then drawn randomly from Bag 2. If the probability, that the ball drawn is white, is 29/45, then n is equal to:

Solution & Explanation

Related Formula

Total Probability Law:

P(W) = P(W|B₁)P(B₁) + P(W|B₂)P(B₂)
Core Logic

Bag 1 contents: 4W, 5B (Total 9 balls). Bag 2 contents initially: nW, 3B (Total n+3 balls).

Case 1: Transferred ball is white (P = (4)/(9)): Bag 2 now has (n+1)W and 3B (Total n+4). Probability of drawing white = (n+1)/(n+4).

Case 2: Transferred ball is black (P = (5)/(9)): Bag 2 now has nW and 4B (Total n+4). Probability of drawing white = (n)/(n+4).

Step 1: Set up Equation and Solve

Aggregate components via Total Probability Formula:

((4)/(9) × (n+1)/(n+4)) + ((5)/(9) × (n)/(n+4)) = (29)/(45) (4(n+1) + 5n)/(9(n+4)) = (29)/(45) (9n + 4)/(n+4) = (29)/(5) 5(9n + 4) = 29(n + 4) 45n + 20 = 29n + 116 16n = 96 n = 6
Pattern Recognition

Notice how the denominators inside conditional stages match up identically (n+4). Clear constants before running fraction line conversions to speed up single-variable systems.

Chapter Mix

Class 12 Mathematics: Probability

Reference Study Guides

More Probability Previous-Year Questions

Q10 jee_main_2026_21_jan_evening Probability Distribution
A random variable X takes values 0, 1, 2, 3 with probabilities (2a + 1)/(30), (8a - 1)/(30), (4a + 1)/(30), b respectively, where a, b in R. Let μ and σ respectively be the mean and standard deviation of X such that σ² + μ² = 2. Then (a)/(b) is equal to:
  • A. 30
  • B. 3
  • C. 60
  • D. 12

Solution

Related Formula
Sum of probabilities: Σ P(X=xᵢ) = 1 Variance formula: σ² = E(X²) - μ² E(X²) = σ² + μ² = 2 E(X²) = Σ xᵢ² P(xᵢ)
Core Logic

Given Probability Distribution:

x0123
p(x)(2a+1)/(30)(8a-1)/(30)(4a+1)/(30)b

Step 1: Set up variance equation

We know σ² + μ² = Σ xᵢ² P(xᵢ) = 2.

0²((2a+1)/(30)) + 1²((8a-1)/(30)) + 2²((4a+1)/(30)) + 3²(b) = 2 (8a-1)/(30) + (16a+4)/(30) + 9b = 2 (24a+3)/(30) + 9b = 2 24a + 270b + 3 = 60 24a + 270b = 57

Dividing by 3:

8a + 90b = 19 (1)
Step 2: Total Probability Equation

Sum of all probabilities equals 1:

(2a+1)/(30) + (8a-1)/(30) + (4a+1)/(30) + b = 1 (14a+1)/(30) + b = 1 14a + 30b + 1 = 30 14a + 30b = 29 (2)
Step 3: Solve the Linear System

From (2), multiply by 3: 42a + 90b = 87. Subtract (1) from this new equation:

(42a + 90b) - (8a + 90b) = 87 - 19 34a = 68 a = 2

Substitute a = 2 back into (1):

8(2) + 90b = 19 16 + 90b = 19 90b = 3 b = (1)/(30)

We need (a)/(b):

(a)/(b) = (2)/(1/30) = 60
Pattern Recognition

Notice that σ² + μ² is simply the second moment E(X²). Avoid calculating μ independently. Create a simultaneous system using E(X²)=c and Σ p=1.

Chapter Mix

Class 12 Maths: Probability

Q4 jee_main_2026_22_january_morning Divisibility In Probability
Two distinct numbers a and b are selected at random from 1, 2, 3, ....., 50. The probability, that their product ab is divisible by 3, is
  • A. (561)/(1225)
  • B. (664)/(1225)
  • C. (272)/(1225)
  • D. (8)/(25)

Solution

Related Formula
P(Event) = 1 - P(Complement of Event)
Core Logic

For the product ab to be divisible by 3, at least one of the numbers a or b must be a multiple of 3.

It is easier to find the probability of the complement event: neither a nor b is a multiple of 3.

Step 1: Counting Favorable vs Total Outcomes

Total numbers = 50. Number of multiples of 3 in the set 1, 2, …, 50 is (50)/(3) = 16.

Numbers that are NOT multiples of 3 = 50 - 16 = 34.

The probability that both chosen numbers are NOT multiples of 3 is the number of ways to choose 2 numbers from the 34, divided by the total ways to choose 2 numbers from 50:

P(Not divisible by 3) = ³⁴C₂⁵⁰C₂ ³⁴C₂ = (34 × 33)/(2) = 561 ⁵⁰C₂ = (50 × 49)/(2) = 1225
Step 2: Final Probability

Required probability P(ab is divisible by 3) = 1 - P(Not divisible by 3)

P = 1 - (561)/(1225) = (1225 - 561)/(1225) = (664)/(1225)
Pattern Recognition

Whenever a probability question asks for 'at least one' condition (like a product being divisible by a prime), always use the complement rule: 1 - P(none). It transforms a complex multi-case problem into a single combination calculation.

Chapter Mix

Class 12 Maths: Probability Class 11 Maths: Permutations and Combinations

Q7 jee_main_2026_22_january_morning Probability Distribution
If a random variable x has the probability distribution
x01234567
p(x)02kk3k2k²2kk²+k7k²
then P(3 < x≤ 6) is equal to
  • A. 0.34
  • B. 0.22
  • C. 0.64
  • D. 0.33

Solution

Related Formula
Σ P(xᵢ) = 1
Core Logic

For a valid probability distribution, the sum of all probabilities must equal 1.

0 + 2k + k + 3k + 2k² + 2k + (k² + k) + 7k² = 1

Combine like terms:

10k² + 9k - 1 = 0 (10k - 1)(k + 1) = 0

Since k cannot be negative (probabilities must be non-negative), we get k = (1)/(10).

Step 1: Calculate the Desired Probability

We need to find P(3 < x ≤ 6). This includes the probabilities for x = 4, 5, 6.

P(3 < x ≤ 6) = P(x=4) + P(x=5) + P(x=6) P(3 < x ≤ 6) = 2k² + 2k + (k² + k) = 3k² + 3k

Substitute k = (1)/(10):

= 3((1)/(100)) + 3((1)/(10)) = 0.03 + 0.3 = 0.33
Pattern Recognition

Sum of probabilities always equals 1. This generates a standard quadratic in k. Always discard the negative root since P(xᵢ) ≥ 0 for all i.

Chapter Mix

Class 12 Maths: Probability

Q24 jee_main_2026_23_january_morning Random Selection
From the first 100 natural numbers, two numbers first a and then b are selected randomly without replacement. If the probability that a - b ≥ 10 is (m)/(n), (m, n) = 1, then m + n is equal to _____.
Numerical Answer. Answer: 311 to 311

Solution

Core Logic

Total ways to select a and b from 100 natural numbers (ordered and without replacement) is 100 × 99. We require a - b ≥ 10, which implies a ≥ b + 10.

Step 1: Count Favorable Outcomes

Iterate over possible values of a: If a = 100, b can be anything from 1 to 90 (90 cases). If a = 99, b can be anything from 1 to 89 (89 cases). ... If a = 11, b can only be 1 (1 case). Total favorable cases = 1 + 2 + 3 + + 90. Using sum of first n natural numbers:

Nfav = (90 × 91)/(2)
Step 2: Calculate Probability

Probability P = NfavNtotal = ((90 × 91)/(2))/(100 × 99)

P = (90 × 91)/(2 × 100 × 99) = (91)/(2 × 10 × 11) = (91)/(220)
Step 3: Final Answer

Here m = 91 and n = 220. They are coprime (gcd is 1).

m + n = 91 + 220 = 311
Pattern Recognition

Ordering constraints like a-b≥ k on a discrete uniform sample space always collapse into a simple arithmetic progression sum. Start explicitly from the highest/lowest valid bounds to quickly identify the series length.

Chapter Mix

Class 11 Maths: Probability Class 11 Maths: Sequences and Series

Q11 jee_main_2026_23_january_evening Total Probability Theorem
Bag A contains 9 white and 8 black balls, while bag B contains 6 white and 4 black balls. One ball is randomly picked up from the bag B and mixed up with the balls in the bag A. Then a ball is randomly drawn from the bag A. If the probability, that the ball drawn is white, is (p)/(q), (p, q) = 1, then p + q is equal to
  • A. 22
  • B. 23
  • C. 24
  • D. 21

Solution

Related Formula

Total Probability Theorem:

P(E) = P(E|A₁)P(A₁) + P(E|A₂)P(A₂)
Core Logic

Total Probability Theorem diagram for Q11 - JEE Main 2026 Evening
Total Probability Theorem diagram for Q11 - JEE Main 2026 Evening
Total Probability Theorem diagram for Q11 - JEE Main 2026 Evening
Total Probability Theorem diagram for Q11 - JEE Main 2026 Evening
Let Event WB be drawing a white ball from Bag B and mixing it in Bag A. Let Event BB be drawing a black ball from Bag B and mixing it in Bag A.

Probability of drawing White from Bag B:

P(WB) = (6)/(10) = (3)/(5)

Probability of drawing Black from Bag B:

P(BB) = (4)/(10) = (2)/(5)
Step 1: Calculating Final Probability

If a white ball is transferred, Bag A now has 10 White and 8 Black balls (18 total). Probability of drawing White from A given WB:

P(WA | WB) = (10)/(18)

If a black ball is transferred, Bag A now has 9 White and 9 Black balls (18 total). Probability of drawing White from A given BB:

P(WA | BB) = (9)/(18)

Total probability of drawing a white ball from Bag A:

P(WA) = P(WA | WB)P(WB) + P(WA | BB)P(BB) P(WA) = ((10)/(18))((3)/(5)) + ((9)/(18))((2)/(5)) P(WA) = (30)/(90) + (18)/(90) = (48)/(90) = (8)/(15)
Step 2: Final Calculation

We have P = (p)/(q) = (8)/(15). Since (8, 15) = 1, p = 8 and q = 15.

p + q = 8 + 15 = 23
Pattern Recognition

Standard transfer problem. Always set up the exhaustive branches of the initial transfer event and map the new probability state of the target bag.

Chapter Mix

Class 12 Maths: Probability

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