Binomial Distribution

The random variable, X has the binomial distribution X~B(9,0.25), find P(X=4)

• 0.1657

• 0.1168

• 0.2336

• 0.3504

The random variable Y has binomial distribution Y~B(10,0.4). Find P(3<Y<6)

• 0.6665

• 0.7779

• 0.4515

• 0.2508

The random variable T has binomial distribution T~(40,0.5). Find P(T≤12)

• 0.0032

• 0.0051

• 0.9968

• 0.0083

A ball manufacturer claims that only 15% of his balls are defective. If Ali has 6 of these balls to play with at a ball game, find the probability at most 4 balls will be defective.

• 0.9941

• 0.0059

• 0.9996

• 0.9527

The probability Ali wins a chess game is 0.4. Given that he plays only 5 games a week, find the probability that in any week he wins at least 2 games.

• 0.6630

• 0.3370

• 0.9222

• 0.3456

A new surgical procedure is successful 85% of the time. the procedure is performed 8 times and it can be assumed that it is independent each time. Find the expected value of the successful operations.

• 1.02

• 6.8

• 0.1275

• 1.2

A rental car service center company has 5 cars available for rental each day. Assume that each car is rented out for the whole day and that the number of cars rented out each day is randomly distributed with a mean of 2. Find the probability that the company cannot meet the demand for cars on any one day.

• 0.0166

• 0.0527

• 0.9473

• 0.0361

The formula for the MEAN of a BINOMIAL DISTRIBUTION.

• np

• np(1-p)

• pq

• nx

The formula for the VARIANCE of a BINOMIAL DISTRIBUTION.

• np

• np(1-p)

• pq

• nx

The variable used for the number of trials.

• n

• x

• p

• q