Related InterviewSolutions

• The chance of a student passing an exam is 30% , the chance of a student passing the exam and getting above 80% marks in it is 10%, if it is given that a student has passed the examination, then find the probability that the student has secure more than 80% marks in the exam ?1. 3/82. 1/33. 1/94. 1/8
• A bag contains 5 black and 6 white balls; one balls are drawn at random. What is the probability that the balls drawn are black?1. 6/112. 5/63. 5/114. 2/5
• Person A can hit a target 4 times in 5 attempts. Person B - 3 times in four attempts. Person C - 2 times in 3 attempts. They fire a volley. The probability that the target is hit atleast two times is1. 3/42. 1/23. 5/64. 1
• A dice is thrown, find the probability of getting a number which is exactly divisible by 2.1. 2/32. 1/23. 1/34. 1/4
• If two dice are thrown simultaneously then find the probability that the sum of the numbers coming up on them is 11, given that the number 5 always occurs on the first dice.1. 1/32. 1/363. 1/124. 1/6
• Let A and B be two events such that \(\rm P\left( \overline{A\cup B} \right)=\frac{1}{6}\), \(\rm P\left( A\cap B \right)=\frac{1}{4}\) and \(\rm P\left( \overline{A} \right)=\frac{1}{4}\), where A̅ is the complementary event of A. Then A and B are:1. Equally likely but not independent.2. Equally likely and mutually exclusive.3. Mutually exclusive and independent.4. Independent but not equally likely.
• A bag has 10 red balls, 5 green balls and ‘x’ yellow balls. If the probability of drawing 2 red balls from the bag is 13/57 more than the probability of drawing 2 yellow balls then find total balls in the bag?1. 152. 253. 204. 195. 30
• 1/5th of cistern can be emptied in 2 hours.  Calculate what percentage of tank was filled if it takes 6 hours to empty that amount of tank1. 25% 2. 60%3. 50%4. 40%5. 45%
• Two fair dice are rolled. What is the probability that the total score is a prime number?1. \(\dfrac{1}{6}\)2. \(\dfrac{5}{12}\)3. \(\dfrac{1}{2}\)4. \(\dfrac{7}{9}\)
• A random variable X has the distribution law as given below:X123P(X = x)0.30.40.3The variance of the distribution is:1. 0.42. 0.63. 0.24. None of these