Advertisements
Advertisements
प्रश्न
In a multiple-choice examination with three possible answers for each of the five questions out of which only one is correct, what is the probability that a candidate would get four or more correct answers just by guessing?
उत्तर
Let X be the number of right answers in the 5 questions.
X can take values 0,1,2...5.
X follows a binomial distribution with n =5
\[p = \text{ probability of guessing right answer } = \frac{1}{3} \]
\[q = \text{ probability of guessing wrong answer } = \frac{2}{3}\]
\[\text{ Hence, the distribution is given by } \]
\[P(X = r) = ^{5}{}{C}_r \left( \frac{1}{3} \right)^r \left( \frac{2}{3} \right)^{5 - r} , r = 0, 1, 2, . . . 5\]
\[ \therefore P(\text{ The student guesses 4 or more correct answers} ) = P(X \geq 4) \]
\[ = P(X = 4) + P(X = 5)\]
\[ =^{5}{}{C}_4 \left( \frac{1}{3} \right)^4 \left( \frac{2}{3} \right)^1 + ^{5}{}{C}_5 \left( \frac{1}{3} \right)^5 \left( \frac{2}{3} \right)^0 \]
\[ = \frac{10 + 1}{3^5}\]
\[ = \frac{11}{243}\]
APPEARS IN
संबंधित प्रश्न
A bag consists of 10 balls each marked with one of the digits 0 to 9. If four balls are drawn successively with replacement from the bag, what is the probability that none is marked with the digit 0?
On a multiple choice examination with three possible answers for each of the five questions, what is the probability that a candidate would get four or more correct answers just by guessing?
It is known that 10% of certain articles manufactured are defective. What is the probability that in a random sample of 12 such articles, 9 are defective?
A couple has two children, Find the probability that both children are males, if it is known that at least one of the children is male.
A couple has two children, Find the probability that both children are females, if it is known that the elder child is a female.
A bag contains 7 red, 5 white and 8 black balls. If four balls are drawn one by one with replacement, what is the probability that none is white ?
The probability that a bulb produced by a factory will fuse after 150 days of use is 0.05. Find the probability that out of 5 such bulbs none will fuse after 150 days of use
A coin is tossed 5 times. If X is the number of heads observed, find the probability distribution of X.
Five dice are thrown simultaneously. If the occurrence of 3, 4 or 5 in a single die is considered a success, find the probability of at least 3 successes.
The probability that a student entering a university will graduate is 0.4. Find the probability that out of 3 students of the university none will graduate
Suppose X has a binomial distribution with n = 6 and \[p = \frac{1}{2} .\] Show that X = 3 is the most likely outcome.
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.
A person buys a lottery ticket in 50 lotteries, in each of which his chance of winning a prize is \[\frac{1}{100} .\] What is the probability that he will win a prize exactly once.
A factory produces bulbs. The probability that one bulb is defective is \[\frac{1}{50}\] and they are packed in boxes of 10. From a single box, find the probability that none of the bulbs is defective .
Determine the binomial distribution whose mean is 9 and variance 9/4.
If the mean and variance of a binomial distribution are respectively 9 and 6, find the distribution.
Determine the binomial distribution whose mean is 20 and variance 16.
The mean of a binomial distribution is 20 and the standard deviation 4. Calculate the parameters of the binomial distribution.
If the probability of a defective bolt is 0.1, find the (i) mean and (ii) standard deviation for the distribution of bolts in a total of 400 bolts.
Find the binomial distribution whose mean is 5 and variance \[\frac{10}{3} .\]
The mean and variance of a binomial variate with parameters n and p are 16 and 8, respectively. Find P (X = 0), P (X = 1) and P (X ≥ 2).
If X follows a binomial distribution with mean 4 and variance 2, find P (X ≥ 5).
If in a binomial distribution mean is 5 and variance is 4, write the number of trials.
If the mean and variance of a binomial distribution are 4 and 3, respectively, find the probability of no success.
If for a binomial distribution P (X = 1) = P (X = 2) = α, write P (X = 4) in terms of α.
A biased coin with probability p, 0 < p < 1, of heads is tossed until a head appears for the first time. If the probability that the number of tosses required is even is 2/5, then p equals
If X follows a binomial distribution with parameters n = 8 and p = 1/2, then P (|X − 4| ≤ 2) equals
Mark the correct alternative in the following question:
Suppose a random variable X follows the binomial distribution with parameters n and p, where 0 < p < 1. If \[\frac{P\left( X = r \right)}{P\left( X = n - r \right)}\] is independent of n and r, then p equals
Five cards are drawn successively with replacement from a well-shuffled pack of 52 cards. What is the probability that none is a spade ?
The probability that a bulb produced by a factory will fuse after 150 days of use is 0.05. Find the probability that out of 5 such bulbs not more than one will fuse after 150 days of use
Bernoulli distribution is a particular case of binomial distribution if n = ______
One of the condition of Bernoulli trials is that the trials are independent of each other.
Explain why the experiment of tossing a coin three times is said to have binomial distribution.
If the coefficients of x7 and x8 in `(2 + x/3)^n` are equal, then n is
If in the binomial expansion of (1 + x)n where n is a natural number, the coefficients of the 5th, 6th and 7th terms are in A.P., then n is equal to:
In three throws with a pair of dice find the chance of throwing doublets at least twice.
If the sum of mean and variance of a binomial distribution is `25/9` for 5 trials, find p.