Exams › JEE Main › Maths
A random variable X has the following probability distribution : X : 1 2 3 4 5 P(X) : K^2 2K K 2K 5K^2 Then P(X > 2) is equal to -
- 1/36
- 1/6
- 7/12
- 23/36
Correct answer: 23/36
Solution
To find P(X > 2), we sum the probabilities for X = 3, 4, and 5. The total probability is calculated as P(X=3) + P(X=4) + P(X=5) = K + 2K + 5K^2. After determining K from the normalization condition of the probability distribution, we find that P(X > 2) equals 23/36.
Related JEE Main Maths questions
- A random variable can assume the values \(0,1,2,\ldots,n\), and its corresponding frequencies are proportional to the coefficients \(\binom{n}{0}, \binom{n}{1}, \binom{n}{2}, \ldots, \binom{n}{n}\). What is the variance of this distribution?
- From the integers \(1,2,3,\ldots,2004\), two distinct numbers \(x\) and \(y\) are selected at random without replacement. What is the probability that \(x^3+y^3\) is divisible by 3?
- One card is selected at random from a standard deck of 52 cards. A player wagers that the card will be a spade or an ace. What are the odds against the player winning the wager?
- When $n$ objects are assigned randomly to $n$ people, what is the probability that at least one person receives no object?
- For two arbitrary events $M$ and $N$, what is the probability that exactly one of them happens?
- A four-digit number is made using the digits 1, 2, 3, and 4 without repeating any digit. What is the probability that the resulting number is odd?
⚔️ Practice JEE Main Maths free + battle 1v1 →