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The probability distribution of X is as follows:
| X | 0 | 1 | 2 | 3 | 4 |
| P(X = x) | 0.1 | k | 2k | 2k | k |
Find k and P[X < 2]
Concept: Probability Distribution of Discrete Random Variables
Find the probability distribution of the number of successes in two tosses of a die, where a success is defined as number greater than 4 appears on at least one die.
Concept: Probability Distribution of Discrete Random Variables
Find the probability distribution of the number of successes in two tosses of a die, where a success is defined as six appears on at least one die
Concept: Random Variables and Its Probability Distributions
Two cards are drawn simultaneously (or successively without replacement) from a well shuffled pack of 52 cards. Find the mean, variance and standard deviation of the number of kings drawn.
Concept: Variance of a Random Variable
If the p.m.f of a r. v. X is
P(x) = `c/x^3`, for x = 1, 2, 3
= 0, otherwise
then E(X) = ______.
Concept: Random Variables and Its Probability Distributions
Find the mean of number randomly selected from 1 to 15.
Concept: Random Variables and Its Probability Distributions
For the following probability density function of a random variable X, find P(X < 1).
`{:(f(x) = (x + 2)/18,";" "for" -2 < x < 4),( = 0,"," "otherwise"):}`
Concept: Probability Distribution of a Continuous Random Variable
For the following probability density function of a random variable X, find P(|X| < 1).
`{:(f(x) = (x + 2)/18,";" "for" -2 < x < 4),( = 0,"," "otherwise"):}`
Concept: Probability Distribution of a Continuous Random Variable
Find k, if the following function is p.d.f. of r.v.X:
f(x) = `{:(kx^2(1 - x)",", "for" 0 < x < 1),(0",", "otherwise"):}`
Concept: Probability Distribution of a Continuous Random Variable
Given that X ~ B(n= 10, p). If E(X) = 8 then the value of
p is ...........
(a) 0.6
(b) 0.7
(c) 0.8
(d) 0.4
Concept: Bernoulli Trials and Binomial Distribution
The probability that a certain kind of component will survive a check test is 0.6. Find the probability that exactly two of the next four components tested will survive.
Concept: Binomial Distribution
The probability that a bomb will hit a target is 0.8. Find the probability that out of 10 bombs dropped, exactly 4 will hit the target.
Concept: Bernoulli Trials and Binomial Distribution
A fair coin is tossed 8 times. Find the probability that it shows heads exactly 5 times.
Concept: Bernoulli Trials and Binomial Distribution
A fair coin is tossed 9 times. Find the probability that it shows head exactly 5 times.
Concept: Bernoulli Trials and Binomial Distribution
A person buys a lottery ticket in 50 lotteries, in each of which his chance of winning a prize is `1/100`. What is the probability that he will win a prize at least once.
Concept: Bernoulli Trials and Binomial Distribution
A die is thrown 6 times. If ‘getting an odd number’ is a success, find the probability of 5 successes.
Concept: Binomial Distribution
A die is thrown 6 times. If ‘getting an odd number’ is a success, find the probability of at least 5 successes.
Concept: Binomial Distribution
Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards; find the probability that all the five cards are spades.
Concept: Binomial Distribution
Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards; find the probability that none is a spade.
Concept: Binomial Distribution
In a box of floppy discs, it is known that 95% will work. A sample of three of the discs is selected at random. Find the probability that none of the floppy disc work.
Concept: Binomial Distribution
