The GATE 2025 Data Science and Artificial Intelligence paper: 65 questions for 100 marks in 180 minutes, with General Aptitude (15 marks) and the technical section (85 marks). Answers follow the official final answer key; every question has a short explanation.
Question 61
A bag contains 5 white balls and 10 black balls. In a random experiment, \(n\) balls are drawn from the bag one at a time with replacement. Let \(S_{n}\) denote the total number of black balls drawn in the experiment.
The expectation of \(S_{100}\) denoted by \(E[S_{100}] =\) ________
(Round off to one decimal place)
Explanation
Answer: 66.6 to 66.7
Drawing with replacement leaves the bag unchanged, so the draws are independent and each is black with probability \(\frac{10}{15} = \frac{2}{3}\).
Write \(S_{100} = Y_{1} + \cdots + Y_{100}\), where \(Y_{k} = 1\) if the \(k\)-th draw is black and 0 otherwise. Each \(E[Y_{k}] = \frac{2}{3}\), so by linearity of expectation
\[ E[S_{100}] = 100 \times \frac{2}{3} = \frac{200}{3} \approx 66.67 \]
This is the mean \(np\) of a Binomial\((100, \frac{2}{3})\) variable. Rounded to one decimal place it is 66.7; using the white-ball probability \(\frac{1}{3}\) by mistake would give 33.3.
Answer: 66.7