Binomial distribution Test 1

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Questions and Answers

For a binomial distribution with $n = 6$, if $9P(X = 4) = P(X = 2)$, what is the value of $q$?

  • $\frac{1}{2}$
  • $\frac{3}{4}$ (correct)
  • $\frac{2}{5}$
  • $\frac{1}{4}$

A man takes 11 steps, moving forward with probability 0.4 and backward with probability 0.6. What is the probability that he ends up one step away from the starting point?

  • ${11 \choose 6}(0.24)^5$
  • ${11 \choose 6}(0.4)^6(0.6)^5$
  • ${11 \choose 6}(0.4)^5(0.6)^6$ (correct)
  • ${11 \choose 6}(0.24)^6$

The sum of the mean and variance of a binomial distribution for 10 trials is $\frac{15}{2}$. What is the variance?

  • 2.5 (correct)
  • 1.5
  • 3.5
  • 4.5

The number of successes in an experiment is twice the number of failures. What is the probability that there will be at least 4 successes in the next 6 trials?

<p>$\frac{491}{729}$ (C)</p>
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An irregular six-faced die is thrown. The probability of getting 3 even numbers in 5 throws is twice the probability of getting 2 even numbers. In 6804 sets of 5 throws, how many times would you expect to get no even number?

<p>27 (B)</p>
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Let X be a random variable having a binomial distribution $B(7, p)$. If $P(X = 3) = 5P(X = 4)$, then what is the variance of X?

<p>$\frac{35}{36}$ (D)</p>
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The sum of the mean and variance of a binomial distribution for 5 trials is 1.8. What is the value of $p$?

<p>0.4 (D)</p>
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For an initial screening, a candidate is given 50 problems. The probability a candidate can solve a problem is $\frac{4}{5}$. What is the probability the candidate is unable to solve less than two problems?

<p>${54 \choose 5} (\frac{4}{5})^{49}$ (B)</p>
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A lot of 100 bulbs contains 10 defective bulbs. Five bulbs are selected at random and sent to a retail store. What is the probability that the store will receive at most one defective bulb?

<p>$\frac{{9 \choose 4}}{{10 \choose 5}}$ (C)</p>
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Let $X \sim B(6, \frac{1}{2})$. What is $P[|x-4| < 2]$?

<p>$\frac{57}{64}$ (B)</p>
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Let a random variable X have a binomial distribution with mean 8 and variance 4. If $P(x \leq 2) = \frac{k}{2^{16}}$, then what is the value of k?

<p>121 (B)</p>
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A multiple choice examination has 5 questions, each with 3 options, only 1 of which is correct. What is the probability that a student gets 4 or more correct answers just by guessing?

<p>$\frac{11}{3^5}$ (B)</p>
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In a binomial distribution of 5 independent trials, the probabilities of exactly 1 and 2 successes are 0.4096 and 0.2048 respectively. What is the probability of getting exactly 4 successes?

<p>$\frac{4}{625}$ (A)</p>
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Let X be a random variable having Binomial distribution B(7, p). If P[X = 3] = 5P[X = 4], then variance of X is

<p>$\frac{35}{36}$ (A)</p>
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If the sum of the mean and the variance of a Binomial distribution for 5 trials is 1.8, then the value of p is

<p>0.4 (A)</p>
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Given a binomial distribution where $n = 10$ and $p = 0.4$, what is the value of $E(X^2)$?

<p>18.4 (D)</p>
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In an experiment, the probability of success is $\frac{3}{4}$ times the probability of failure. What is the probability of at least one success in 5 trials?

<p>$1 - (\frac{4}{7})^5$ (B)</p>
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In a binomial distribution, the mean is 18, and the variance is 12. What is the value of $p$?

<p>$\frac{2}{3}$ (A)</p>
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A person buys 5 lottery tickets. The probability of winning a prize on a single ticket is $\frac{1}{4}$. What is the probability that the person wins at least one prize?

<p>$\frac{781}{1024}$ (D)</p>
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A box contains 8 batteries, 3 of which are defective. A person randomly selects two batteries. If X is the number of defective batteries selected, what is $P(X \leq 1)$?

<p>$\frac{13}{28}$ (B)</p>
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The probability that a person survives a certain operation is 0.2. If 5 patients undergo similar operations, what is the probability that exactly four will survive?

<p>0.0064 (C)</p>
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A bomb has a probability of 0.2 of missing its target. If 10 bombs are dropped, what is the probability that exactly 2 will hit the target?

<p>$\frac{288}{5^9}$ (A)</p>
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A basketball player makes a basket with a probability of 0.4. What is the probability that the player makes exactly three baskets in four attempts?

<p>0.1536 (C)</p>
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A die is thrown 100 times. What is the standard deviation of getting an even number?

<p>5 (C)</p>
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It is observed that 25% of child labor cases reported to the police are solved. If 6 new cases are reported, what is the probability that at least 5 of them will be solved?

<p>$\frac{19}{4096}$ (C)</p>
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If $X \sim B(4, p)$ and $P(X = 0) = \frac{16}{81}$, then what is $P(X = 4)$?

<p>$\frac{1}{81}$ (B)</p>
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In an entrance test, 30% of students are science students. If 5 students are randomly selected, what is the probability that 2 of them are science students?

<p>0.3087 (A)</p>
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For a binomial variable $X$, the mean is 2 and the variance is 1. What are the odds in favor of $X = 0$?

<p>15:1 (B)</p>
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The incidence of a certain occupational disease in an industry is such that workmen have a 10% chance of suffering from it. Out of 5 workmen, what is the probability that 3 or more will contract the disease?

<p>0.00856 (A)</p>
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A man hits a target with a probability of $\frac{3}{4}$. If he tries 5 times, what is the probability that he will hit the target exactly 3 times?

<p>$\frac{270}{512}$ (A)</p>
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Three dice are thrown together. What is the probability of getting a sum of 5?

<p>$\frac{1}{36}$ (B)</p>
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Eight coins are tossed simultaneously. What is the probability of getting exactly 6 heads?

<p>$\frac{7}{256}$ (A)</p>
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An experiment succeeds twice as often as it fails. In 4 trials, what is the probability that there will be at most 3 successes?

<p>$\frac{24}{27}$ (A)</p>
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A bag contains 2 white and 4 black balls. A ball is drawn 5 times with replacement. What is the probability that at least 3 of the balls drawn are white?

<p>$\frac{11}{243}$ (D)</p>
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Flashcards

Variance of Binomial Distribution

The variance of a binomial distribution is (npq), where (n) is the number of trials, (p) is the probability of success, and (q) is the probability of failure ((1-p)).

Variance Calculation

If the sum of the mean and variance is ( \frac{15}{2} ) for 10 trials, the variance is 2.5.

Probability of at most one defective

The probability of receiving at most one defective bulb involves calculating the probability of 0 or 1 defective bulbs.

Finding Variance, given (P(X=3) = 5P(X=4))

If (P(X=3) = 5P(X=4)) where X follows a binomial distribution B(7, p), the variance of X can be found using (npq).

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Probability of 4 or more correct answers

The probability that a student will get 4 or more correct answers by guessing involves calculating the probability of getting exactly 4 or 5 questions correct.

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E(X²) in Binomial Distribution

The expected value of X squared, calculated as E(X²) = np(1-p) + (np)^2 for a binomial distribution.

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Probability of Success Relationship

When success is 3/4 times the failure probability, relate them as p = (3/4)(1 - p) to solve for success probability.

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Standard Deviation with Fair Die

The standard deviation of getting an even number is σ = √(npq) with p=0.5 for even numbers on a fair die.

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Finding p from P(X=0)

If X ~ B(4, p) and P(X=0) = 16/81, then find p as the fourth root of 16/81, since P(X=0) = (1-p)^4.

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Science Students Probability

Probability is calculated from number of science students among random sample using binomial probability formula.

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Hitting the target

The number of ways to choose x successes out of n trials, times the probability of success to the power of x.

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Find p: Mean and Variance known

Mean is 'np', variance is 'np(1-p)'. Solve for p with two equations after being given mean and variance values.

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Winning at Least One Prize

Probability of at least one prize requires calculating (1 - probability of winning no prize).

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At Most One Defective

Probability of selecting at most one defective requires number of non-defective and defective batteries known.

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Calculate outcome odds

Binomial variate: calculate the odds of a specific outcome given its mean and variance with the ratio formula.

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Probability of getting 5 on at least one of three dice

If three dice are thrown, this is the probability of at least one of them resulting in a 5.

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Probability of at least three successes

If an experiment succeeds twice as often as it fails. This is the probability that in 4 trials there will be successes at least three times

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Probability of less than 2 defective items

Items have a 5% defect rate. This is the probability of selecting a sample of 8 items and finding less than 2 defective items.

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Probability of at least 4 white balls

Determines the probability of drawing at least 4 white balls from a bag containing 2 white and 4 black balls, with replacement, over 5 draws.

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Find Success Probability (p)

With n=6 and 9P(X=4) = P(X=2), find the probability of success (p) for a binomial distribution.

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Study Notes

  • If an experiment succeeds twice as often as it fails, the probability that in 4 trials there will be at least three successes is 24/27
  • If X follows a binomial distribution with parameters n = 6 and p and 9P(X = 4) = P(X = 2), then p = 1/4
  • If three dice are thrown together, then the probability of getting 5 on at least one of them is 91/216
  • The probability that a man can hit a target is ¾. If he tries 5 times, the probability that he will hit the target at least three times is 459/512
  • 8 coins are tossed simultaneously. The probability of getting at least 6 heads is 37/256
  • The items produced by a firm are supposed to contain 5% defective items. The probability that a sample of 8 items will contain less than 2 defective items is (35/16)(1/20)^6
  • A bag contains 2 white and 4 black balls. A ball is drawn 5 times with replacement. The probability that at least 4 of the balls drawn are white is 11/243
  • If X follows a binomial distribution B(n, p) with n = 10 and p = 0.4, then E(X²) = 3.6
  • If success in each trial is 3/4 times the probability of failure, then the probability of at least one success in 5 trials is 1 - (4/7)^5
  • In a binomial distribution, if the mean is 18 and the variance is 12, then p = 2/3
  • If the sum of the mean and variance of a binomial distribution for 5 trials is 1.8, then p = 0.2
  • If the probability of winning a prize on a lottery ticket is 1/4, then the probability that a person purchasing 5 lottery tickets wins at least one prize is 781/1024
  • Given a box of 8 batteries with 3 defective, the probability of selecting two batteries with the number of defective batteries, X, being less than or equal to 1, P(X ≤ 1) = 13/28
  • If the probability of survival for a patient undergoing an operation is 0.2, the probability that exactly four out of five patients survive is 0.0064
  • If the probability that a bomb will miss the target is 0.2, the probability that out of 10 bombs, exactly 2 will hit the target is 288/5^9
  • The probability of a basketball player making a basket is 0.4, the probability of 3 baskets in 4 attempts is 0.1536
  • When a die is thrown 100 times, the standard deviation of getting an even number is 5
  • Given that 25% of child labor cases are solved, the probability that at least 5 out of 6 new cases will be solved is 19/4096
  • If X follows a binomial distribution B(4, p) and P(X=0) = 16/81, then P(X=4) = 1/81
  • If 30% of entrance exam students are science students, the probability of having 2 science students in a random selection of 5 students is 0.3087
  • For a binomial variate X, if the mean is 2 and variance is 1, the odds in favor of X = 0 are 1:15
  • The probability that 3 or more out of 5 workmen will contract an occupational disease, given a 10% chance for each workman, is 0.00856

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