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Mark the correct alternative in the following:
Which one is not a requirement of a binomial distribution?
In a box containing 100 bulbs, 10 are defective. What is the probability that out of a sample of 5 bulbs, none is defective.
If in a binomial distribution n = 4, P(X = 0) = , then P(X = 4) equals.
A rifleman is firing at a distant target and has only 10% chance o hitting it. The least number of rounds, he must fire in order to have more than 50% chance of hitting it at least once is
A fair coin is tossed a fixed number of times. If the probability of getting seven heads is equal to that of getting nine heads, the probability of getting two heads is
A fair coin is tossed 100 times. The probability that on the tenth throw the fourth six appears is
A fair die is thrown twenty times. The probability that on the tenth throw the fourth six appears is
If X is a binomial variate with parameters n and p, where 0 < p < 1 such that is independent of n and r, then p equals.
Let X denote the number of times heads occur in n tosses of a fair coin. If P (X = 4), P(X = 5) and P(X = 6) are in AP; the value of n is
One hundred identical coins, each with probability p of showing heads are tossed once. If 0 < p < 1 and the probability of heads showing on 50 coins is equal to that of heads showing on 51 coins, the value of p is
A fair coin is tossed 99 times. If X is the number of times heads occur, then P(X = r) is maximum when r is
The least number of times a fair coin must be tossed so that the probability of getting at least one head is at least 0.8, is
If the mean and variance of a binomial variate X are 2 and 1 respectively, then the probability that X takes a value greater than 1 is
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.
If X follows a binomial distribution with parameters n = 100 and p = 1/3, then P (X = r) is
A fair die is tossed eight times. The probability that a third six is observed in the eight throw is
Fifteen coupons are numbered 1 to 15. Seven coupons are selected at random, one at a time with replacement. The probability that the largest umber appearing on a selected coupon is 9, is
A five-digit number is written down at random. The probability that the number is divisible by 5 and no two consecutive digits are identical, is
A coin is tossed 10 times. The probability of getting exactly six heads is
The mean and variance of a binomial distribution are 4 and 3 respectively, then the probability of getting exactly six successes in this distribution, is
In a binomial distribution, the probability of getting success is 1/4 and standard deviation is 3. Then, its means is
A coin is tossed 4 times. The probability that at least one head turns up, is
For a binomial variate X, if n = 3 and P (X = 1) = 8 P(X = 3), then p =
A coin is tossed n times. The probability of getting at least once is greater than 0.8. Then, the least value of n, is
The probability of selecting a male or a female is same. If the probability that in an office of n persons (n – 1) males being selected is , the value of n is
A box contains 100 pens of which 10 are defective. What is the probability that out of a sample of 5 pens drawn one by one with replacement at most one is defective?
Suppose a random variable X follows the binomial distribution with parameters n and p, where 0 < p < 1. If is independent of n and r, then p equals.
The probability that is person is not a swimmer is 0.3. The probability that out of 5 persons 4 are swimmers is
The probability of guessing correctly at least 8 out of 10 answers of a true false type examination is