Test: Probability- 2 - Electrical Engineering (EE) MCQ

A bag contains 10 blue marbles, 20 green marbles and 30 red marbles. A marble is drawn from the bag, its colour recorded and it is put back in the bag. This process is repeated 3 times. The probability that no two of the marbles drawn have the same colour is

In a certain town, the probability that it will rain in the afternoon is known to be 0.6. Moreover, meteorological data indicates that if the temperature at noon is less than or equal to 25⁰C, the probability that it will rain in the afternoon is 0.4. The temperature at noon is equally likely to be above 25⁰C, or at/below 25⁰C.
What is the probability that it will rain in the afternoon on a day when the temperature at noon is above 25⁰C?

Suppose a fair six-sided die is rolled once, if the value on the die is 1, 2 or 3 then die is rolled a second time. What is the probability that the sum total of values that turn up is at least 6?

Suppose p is the number of cars per minute passing through a certain road junction between 5 PM and p has Poisson distribution with mean 3. What is the probability of observing fewer than 3 cars during any given minute in this interval? 

A fair coin is tossed till a head appears for the first time. The probability that the number of required tosses is odd, is

A continuous random variable Xhas a probability density function f(x) = e^-x, 0 < x <∝. Then P{X> 1} is

A fair coin is tossed n times. The probability that the difference between the number of heads and tails is ( n - 3) is 

Two players, A and B, alternately keep rolling a fair dice. The person to get a six first wins the game. Given that player A starts the game, the probability that A wins the game is 

Equation e^x - 1 = 0 is required to be solved using Newton's method with an initial guess x₀ = -1. Then, after one step of Newton’s method, estimate x₁ of the solution will be given by

Let x² - 117 = 0. The iterative steps for the solution using Newton-Raphson’s method is given by

Solution of the variables x₁ and x₂ for the following equations is to be obtained by employing the Newton-Raphson iterative method

Assuming the initial values x₁ = 0.0 and x₂ = 1.0, the Jacobian matrix is

When the Newton-Raphson method is applied to solve the equation f(x) = x³ + 2x - 1 = 0, the solution at the end of the first iteration with the initial guess value as x₀ = 1.2 is