ISS PREVIOUS YEAR 2016 PAPER-1 SET-A Q.no.- 11
- SWETA
- Apr 1
- 1 min read
ISS PREVIOUS YEAR 2016 PAPER-1 SET-A
![For the distribution:
f(x) = [1 / B(p, q)] × [x^(p − 1) / (1 + x)^(p + q)],where 0 < x < ∞, p > 0, q > 0,
find the harmonic mean.
Options:
(a) p / (p + q) (b) 1 / p (c) (p − 1) / q (d) (p + 1) / (q − 1)](https://static.wixstatic.com/media/8ffd4d_929597f8730a4e7fb508b389d8141e98~mv2.jpg/v1/fill/w_400,h_400,al_c,q_80,enc_avif,quality_auto/8ffd4d_929597f8730a4e7fb508b389d8141e98~mv2.jpg)
Expected Number of Empty Boxes (ISS Level Problem)
Question 11
10 balls are placed in 10 boxes independently and uniformly at random. Initially, all boxes are empty.
What is the expected number of boxes that remain empty?
Options:
(a) (9/10)^9(b) 9^9 / 10^10(c) 9^10 / 10^9(d) (9/10)^10
Solution
This is a classic occupancy problem.
Step 1: Define Indicator Variables
Let Xi be defined as:
Xi = 1, if the i-th box is emptyXi = 0, otherwise
Then total number of empty boxes:
X = X1 + X2 + ... + X10
Step 2: Linearity of Expectation
E(X) = E(X1 + X2 + ... + X10)
Using linearity:
E(X) = E(X1) + E(X2) + ... + E(X10)
Since all boxes are identical:
E(X) = 10 × E(X1)
Step 3: Probability that a Box is Empty
For a given box:
Probability that a ball goes into that box = 1/10
Probability that a ball does NOT go into that box = 9/10
Since all 10 balls are independent:
P(box is empty) = (9/10)^10
Thus,
E(X1) = (9/10)^10
Step 4: Final Expectation
E(X) = 10 × (9/10)^10
Final Answer
E(X) = 10 (9/10)^10
Important Insights
Indicator variable method is the most powerful approach
Even if variables are dependent, expectation works due to linearity
No need to calculate joint probabilities
Shortcut Trick (Very Important for MCQ)
For n balls and n boxes:
E(Number of empty boxes) = n (1 − 1/n)^n
For n = 10:
E(X) = 10 (9/10)^10
ISS PREVIOUS YEAR 2016 PAPER-1 SET-A CLICK HERE TO DOWNLOAD SOLUTION

Comments