Let X be a Gaussian random variable with mean 0 and variance $\style{font-family:'Times New Roman'}{\sigma^2}$. Let Y= max(X,0) where max(a,b) is the maximum of a and b. The median of Y is ___________.
P and Q are consider to apply for a job. The probability that P applies for the job is $\frac14$, the probability that applies for the job given that Q applies for the job is $\frac12$. and the probability that Q applies for the job given that P applies for the job is $\frac13$. Then the probability that P does not apply for the job given that Q does not apply for the job is
For any discrete random variable X, with probability mass function
$\style{font-family:'Times New Roman'}{P(X=j)=p_j,p_j\geq0,\;j\in\{0,.....,N\},\;and\;\sum_\limits{j=0}^Np_j=1}$ , define the polynomial function $\style{font-family:'Times New Roman'}{g_X\left(z\right)=\sum_\limits{j=0}^Np_jz^j}$. For a certain discrete random variable Y, there exist a scalar $\style{font-family:'Times New Roman'}{\beta\in\left[0,1\right]}$ such that $\style{font-family:'Times New Roman'}{g_Y=(1-\beta+\beta\;z)^N}$. The expectation of Y is
If a random variable X has a Poisson distribution with mean 5, then the expectation E[(X+2)^{2}] equals ______.
Consider the following experiment.
Step1. Flip a fair coin twice. Step2. If the outcomes are (TAILS, HEADS) then output Y and stop.
Step3. If the outcomes are either (HEADS, HEADS) or (HEADS, TAILS), then output N and stop.
Step4. If the outcomes are (TAILS, TAILS), then go to Step 1.
In a room there are only two types of people, namely Type 1 and Type 2. Type 1 people always tell the truth and Type 2 people always lie. You give a fair coin to a person in that room, without knowing which type he is from and tell him to toss it and hide the result from you till you ask for it. Upon asking, the person replies the following “The result of the toss is head if and only if I am telling the truth.” Which of the following options is correct?
Suppose you break a stick of unit length at a point chosen uniformly at random. Then the expected length of the shorter stick is ________ .
Four fair six-sided dice are rolled. The probability that the sum of the results being 22 is $\raisebox{1ex}{$X$}\!\left/ \!\raisebox{-1ex}{$1296$}\right.$. The value of X is _________.
The security system at an IT office is composed of 10 computers of which exactly four are working. To check whether the system is functional, the officials inspect four of the computers picked at random (without replacement). The system is deemed functional if at least three of the four computers inspected are working. Let the probability that the system is deemed functional be denoted by p. Then 100p = _____________.
Each of the nine words in the sentence ”The quick brown fox jumps over the lazy dog” is written on a separate piece of paper. These nine pieces of paper are kept in a box. One of the pieces is drawn at random from the box. The expected length of the word drawn is _____________. (The answer should be rounded to one decimal place.)
The probability that a given positive integer lying between 1 and 100 (both inclusive) is NOT divisible by 2, 3 or 5 is ______ .
Let S be a sample space and two mutually exclusive events A and B be such that AUB=S.If P(^{.}) denotes the probability of the event, the maximum value of P(A)P(B) is ______.
Suppose p is the number of cars per minute passing through a certain road junction between 5 PM and 6 PM, and p has a Poisson distribution with mean 3. What is the probability of observing fewer than 3 cars during any given minute in this interval ?
Consider a random variable X that takes values +1 and −1 with probability 0.5 each. The values of the cumulative distribution function F(x) at x = −1 and +1 are
Suppose a fair six-sided die is rolled once. If the value on the die is 1, 2, or 3, the die is rolled a second time. What is the probability that the sum total of values that turn up is at least 6?
If two fair coins are flipped and at least one of the outcomes is known to be a head, what is the probability that both outcomes are heads?
If the difference between the expectation of the square of a random variable $\left(E\left[{X}^{2}\right]\right)$ and the square of the expectation of the random variable ${\left(E\left[X\right]\right)}^{2}$ is denoted by R , then
Consider a finite sequence of random values X = [x_{1}, x _{2},...,x_{n} ]. Let μ_{x} be the mean and σ_{x} be the standard deviation of X. Let another finite sequence Y of equal length be derived from this as y_{i} = a *x_{i} + b, where a and b are positive constants. Let μ_{y} be the mean and σ_{y} be the standard deviation of this sequence. Which one of the following statements is INCORRECT?
A deck of 5 cards (each carrying a distinct number from 1 to 5) is shuffled thoroughly. Two cards are then removed one at a time from the deck. What is the probability that the two cards are selected with the number on the first card being one higher than the number on the second card?
Consider a company that assembles computers. The probability of a faulty assembly of any computer is p. The company therefore subjects each computer to a testing process. This testing process gives the correct result for any computer with a probability of q. What is the probability of a computer being declared faulty?
What is the probability that divisor of 10^{99} is a multiple of 10^{96}?
An unbalanced dice (with 6 faces, numbered from 1 to 6) is thrown. The probability that the face value is odd is 90% of the probability that the face value is even. The probability of getting any even numbered face is the same.
If the probability that the face is even given that it is greater than 3 is 0.75, which one of the following options is closest to the probability that the face value exceeds 3?
Aishwarya studies either computer science or mathematics everyday. If she studies computer science on a day, then the probability that the studies mathematics the next day is 0.6. If she studies mathematics on a day, then the probability that the studies computer science the next day is 0.4. Given that Aishwarya studies computer science on Monday, what is the probability that she studies computer science on Wednesday?
Let X be a random variable following normal distribution with mean +1 and variance 4. Let Y be another normal variable with mean -1 and variance unknown. If P (X ≤ -1) = P (Y ≥ 2), the standard deviation of Y is
Suppose we uniformly and randomly select a permutation from the 20! Permutations of 1, 2, 3,….., 20. What is the probability that 2 appears at an earlier position than any other even number in the selected permutation?