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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 $q$?
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?
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?
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?
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?
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?
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?
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?
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?
The sum of the mean and variance of a binomial distribution for 5 trials is 1.8. What is the value of $p$?
The sum of the mean and variance of a binomial distribution for 5 trials is 1.8. What is the value of $p$?
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?
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?
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?
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?
Let $X \sim B(6, \frac{1}{2})$. What is $P[|x-4| < 2]$?
Let $X \sim B(6, \frac{1}{2})$. What is $P[|x-4| < 2]$?
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?
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?
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?
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?
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?
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?
Let X be a random variable having Binomial distribution B(7, p). If P[X = 3] = 5P[X = 4], then variance of X is
Let X be a random variable having Binomial distribution B(7, p). If P[X = 3] = 5P[X = 4], then variance of X is
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
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
Given a binomial distribution where $n = 10$ and $p = 0.4$, what is the value of $E(X^2)$?
Given a binomial distribution where $n = 10$ and $p = 0.4$, what is the value of $E(X^2)$?
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?
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?
In a binomial distribution, the mean is 18, and the variance is 12. What is the value of $p$?
In a binomial distribution, the mean is 18, and the variance is 12. What is the value of $p$?
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?
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?
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 $P(X \leq 1)$?
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 $P(X \leq 1)$?
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?
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?
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?
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?
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?
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?
A die is thrown 100 times. What is the standard deviation of getting an even number?
A die is thrown 100 times. What is the standard deviation of getting an even number?
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?
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?
If $X \sim B(4, p)$ and $P(X = 0) = \frac{16}{81}$, then what is $P(X = 4)$?
If $X \sim B(4, p)$ and $P(X = 0) = \frac{16}{81}$, then what is $P(X = 4)$?
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?
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?
For a binomial variable $X$, the mean is 2 and the variance is 1. What are the odds in favor of $X = 0$?
For a binomial variable $X$, the mean is 2 and the variance is 1. What are the odds in favor of $X = 0$?
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?
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?
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?
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?
Three dice are thrown together. What is the probability of getting a sum of 5?
Three dice are thrown together. What is the probability of getting a sum of 5?
Eight coins are tossed simultaneously. What is the probability of getting exactly 6 heads?
Eight coins are tossed simultaneously. What is the probability of getting exactly 6 heads?
An experiment succeeds twice as often as it fails. In 4 trials, what is the probability that there will be at most 3 successes?
An experiment succeeds twice as often as it fails. In 4 trials, what is the probability that there will be at most 3 successes?
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?
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?
Flashcards
Variance of Binomial Distribution
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
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
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))
Finding Variance, given (P(X=3) = 5P(X=4))
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Probability of 4 or more correct answers
Probability of 4 or more correct answers
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E(X²) in Binomial Distribution
E(X²) in Binomial Distribution
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Probability of Success Relationship
Probability of Success Relationship
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Standard Deviation with Fair Die
Standard Deviation with Fair Die
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Finding p from P(X=0)
Finding p from P(X=0)
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Science Students Probability
Science Students Probability
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Hitting the target
Hitting the target
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Find p: Mean and Variance known
Find p: Mean and Variance known
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Winning at Least One Prize
Winning at Least One Prize
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At Most One Defective
At Most One Defective
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Calculate outcome odds
Calculate outcome odds
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Probability of getting 5 on at least one of three dice
Probability of getting 5 on at least one of three dice
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Probability of at least three successes
Probability of at least three successes
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Probability of less than 2 defective items
Probability of less than 2 defective items
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Probability of at least 4 white balls
Probability of at least 4 white balls
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Find Success Probability (p)
Find Success Probability (p)
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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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