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Binomial Distribution

Description: Binomial Distribution Quiz
Number of Questions: 15
Created by:
Tags: probability binomial distribution
Attempted 0/15 Correct 0 Score 0

In a binomial distribution, the probability of success on each trial is denoted by:

  1. p

  2. q

  3. n

  4. r


Correct Option: A
Explanation:

In a binomial distribution, the probability of success on each trial is denoted by p.

The probability of failure on each trial in a binomial distribution is denoted by:

  1. p

  2. q

  3. n

  4. r


Correct Option: B
Explanation:

The probability of failure on each trial in a binomial distribution is denoted by q.

The number of trials in a binomial distribution is denoted by:

  1. p

  2. q

  3. n

  4. r


Correct Option: C
Explanation:

The number of trials in a binomial distribution is denoted by n.

The probability of obtaining exactly (k) successes in (n) trials in a binomial distribution is given by:

  1. (P(X = k) = \binom{n}{k} p^k q^{n-k})

  2. (P(X = k) = \binom{n}{k} p^{n-k} q^k)

  3. (P(X = k) = \binom{n}{k} p^k)

  4. (P(X = k) = \binom{n}{k} q^k)


Correct Option: A
Explanation:

The probability of obtaining exactly (k) successes in (n) trials in a binomial distribution is given by (P(X = k) = \binom{n}{k} p^k q^{n-k}).

The mean of a binomial distribution is given by:

  1. (np)

  2. (nq)

  3. (np + nq)

  4. (np - nq)


Correct Option: A
Explanation:

The mean of a binomial distribution is given by (np).

The variance of a binomial distribution is given by:

  1. (np)

  2. (nq)

  3. (np(1-p))

  4. (npq)


Correct Option: D
Explanation:

The variance of a binomial distribution is given by (npq).

A coin is tossed 10 times. What is the probability of getting exactly 5 heads?

  1. 0.246

  2. 0.256

  3. 0.266

  4. 0.276


Correct Option: A
Explanation:

The probability of getting exactly 5 heads in 10 tosses is (P(X = 5) = \binom{10}{5} (0.5)^5 (0.5)^5 = 0.246).

A die is rolled 6 times. What is the probability of getting exactly 3 sixes?

  1. 0.133

  2. 0.143

  3. 0.153

  4. 0.163


Correct Option: B
Explanation:

The probability of getting exactly 3 sixes in 6 rolls is (P(X = 3) = \binom{6}{3} (1/6)^3 (5/6)^3 = 0.143).

A multiple-choice test has 10 questions, each with 4 possible answers. If a student guesses on each question, what is the probability of getting exactly 5 correct answers?

  1. 0.004

  2. 0.005

  3. 0.006

  4. 0.007


Correct Option: C
Explanation:

The probability of getting exactly 5 correct answers in 10 questions is (P(X = 5) = \binom{10}{5} (1/4)^5 (3/4)^5 = 0.006).

A company receives 100 orders per day. If the probability of a defective order is 0.05, what is the probability of receiving exactly 5 defective orders in a day?

  1. 0.074

  2. 0.084

  3. 0.094

  4. 0.104


Correct Option: B
Explanation:

The probability of receiving exactly 5 defective orders in a day is (P(X = 5) = \binom{100}{5} (0.05)^5 (0.95)^95 = 0.084).

A binomial distribution has a mean of 10 and a standard deviation of 3. What is the probability of obtaining a value between 5 and 15?

  1. 0.683

  2. 0.693

  3. 0.703

  4. 0.713


Correct Option: B
Explanation:

The probability of obtaining a value between 5 and 15 is (P(5 \le X \le 15) = P(\frac{5-10}{3} \le \frac{X-10}{3} \le \frac{15-10}{3}) = P(-1.67 \le Z \le 1.67) = 0.693).

A binomial distribution has a mean of 20 and a standard deviation of 4. What is the probability of obtaining a value greater than 25?

  1. 0.023

  2. 0.033

  3. 0.043

  4. 0.053


Correct Option: A
Explanation:

The probability of obtaining a value greater than 25 is (P(X > 25) = P(\frac{X-20}{4} > \frac{25-20}{4}) = P(Z > 1.25) = 0.023).

A binomial distribution has a mean of 50 and a standard deviation of 10. What is the probability of obtaining a value less than 30?

  1. 0.004

  2. 0.014

  3. 0.024

  4. 0.034


Correct Option: A
Explanation:

The probability of obtaining a value less than 30 is (P(X < 30) = P(\frac{X-50}{10} < \frac{30-50}{10}) = P(Z < -2) = 0.004).

A binomial distribution has a mean of 100 and a standard deviation of 15. What is the probability of obtaining a value between 70 and 130?

  1. 0.683

  2. 0.693

  3. 0.703

  4. 0.713


Correct Option: A
Explanation:

The probability of obtaining a value between 70 and 130 is (P(70 \le X \le 130) = P(\frac{70-100}{15} \le \frac{X-100}{15} \le \frac{130-100}{15}) = P(-2 \le Z \le 2) = 0.683).

A binomial distribution has a mean of 200 and a standard deviation of 20. What is the probability of obtaining a value greater than 220?

  1. 0.023

  2. 0.033

  3. 0.043

  4. 0.053


Correct Option: A
Explanation:

The probability of obtaining a value greater than 220 is (P(X > 220) = P(\frac{X-200}{20} > \frac{220-200}{20}) = P(Z > 1) = 0.023).

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