CBSE Class 12-science Maths Distribution Of Random Variables
Take a deep dive into CBSE Class 12 Science Mathematics – Probability – Distribution of Random Variables with TopperLearning revision materials. Enjoy learning the concept of probability distribution of a random variable with our engaging Maths videos. Revise the definition of a random variable and revisit the steps to solve problems based on probability distributions.
Equip yourself with highly effective exam strategies by viewing the exam decoded part of our video lessons. To ensure complete exam preparation, practise probability problems from our well-prepared NCERT solutions for CBSE Class 12 Maths. In addition, use our Maths self-assessment resources to build your confidence well before writing the board examination.
- A Five digits number is written down at random. Find the probability that number is divisible by 5 and no two consecutive digits are identical.
- 9th sum
- Four rotten oranges are accidently mixed with 16 good ones . three oranges are drawn at random from the mixed lot . let X be the no of rotten oranges drawn . Find mean and variance of X
- Two cards are drawn from a well shuffled pack of 52 cards. Find the probability distribution of number of kings. Also compute the variance for the number of kings
- Let X denote a random variable. The probability that X can take the values x, has the following form, where k is some unknown constant. Find the value of k.
- Write the probability distribution table and find the mean of the variable Y whose probability distribution is given graphically.
- A bag contains 2 red and 3 black balls . One ball is drawn and put back into the bag.This is done three times and everytime a red ball is drawn, it is counted as a success.Let 'X' denote the number of successes.is 'X' a random variable. Justify your answer
- A bag contains 2 red and 3 black balls . One ball is drawn and put back into the bag. This is done three times and everytime a red ball is drawn, it is counted as a success.Let 'X'be a random variable that denotes the number of successes. Shaw that X is a function of the Sample space.
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