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Probability Practice Questions: Test Your Knowledge | LearnByTeaching.ai

These 40 probability practice questions cover counting principles, conditional probability, random variables, and probability distributions. They range from introductory combinatorics to challenging applications of Bayes' theorem and expected value, helping you identify areas that need more review.

40 questions total

Counting Principles and Basic Probability

Covers permutations, combinations, sample spaces, and fundamental probability rules.

Q1Easycombinatorics

How many ways can you arrange 5 distinct books on a shelf?

Q2Easybasic-probability

A fair six-sided die is rolled. What is the probability of rolling an even number?

Q3Easycombinatorics

How many ways can you choose 3 students from a group of 10 to form a committee?

Q4Easybasic-probability

Two fair coins are flipped. What is the probability of getting at least one head?

Q5Mediumcombinatorics

A password consists of 3 digits (0-9) followed by 2 uppercase letters (A-Z). How many distinct passwords are possible?

Q6Mediumcombinatorics

In how many ways can 8 people be seated in a row if two specific people must sit next to each other?

Q7Mediumbasic-probability

If P(A) = 0.4 and P(B) = 0.3, and A and B are mutually exclusive, what is P(A or B)?

Q8Mediumbasic-probability

A bag contains 5 red and 7 blue marbles. Two marbles are drawn without replacement. What is the probability both are red?

Q9Hardcombinatorics

How many distinct arrangements are there of the letters in the word MISSISSIPPI?

Q10Hardcombinatorics

A class has 12 boys and 8 girls. A team of 5 is chosen randomly. What is the probability the team has exactly 3 boys and 2 girls?

Conditional Probability and Bayes' Theorem

Covers conditional probability, independence, Bayes' theorem, and the law of total probability.

Q11Easyconditional-probability

If P(A) = 0.6, P(B) = 0.5, and P(A and B) = 0.3, what is P(A|B)?

Q12Easyconditional-probability

Events A and B are independent with P(A) = 0.4 and P(B) = 0.3. What is P(A and B)?

Q13Hardconditional-probability

A test for a disease has 95% sensitivity (true positive rate) and 90% specificity (true negative rate). The disease prevalence is 1%. What is the probability a person with a positive test actually has the disease?

Q14Easyconditional-probability

Two cards are drawn from a standard 52-card deck without replacement. What is the probability the second card is a king given the first card is a king?

Q15Mediumconditional-probability

In a class, 60% study math, 40% study science, and 20% study both. What fraction of science students also study math?

Q16Hardconditional-probability

A factory has three machines producing widgets. Machine A produces 50% of widgets with 2% defect rate, B produces 30% with 3% defect rate, and C produces 20% with 5% defect rate. A widget is found defective. What is the probability it came from Machine C?

Q17Mediumconditional-probability

If P(A|B) = P(A), which of the following must be true?

Q18Mediumconditional-probability

You roll two dice. Given that the sum is at least 10, what is the probability the sum is exactly 12?

Q19Hardconditional-probability

Three fair coins are tossed. What is the probability of getting all heads given that at least two are heads?

Q20Hardconditional-probability

Events A and B satisfy P(A) = 0.3, P(B|A) = 0.8, and P(B|A') = 0.2, where A' is the complement of A. What is P(B)?

Random Variables and Expected Value

Covers discrete and continuous random variables, probability mass functions, expected value, and variance.

Q21Easyrandom-variables

A random variable X has the distribution: P(X=1) = 0.3, P(X=2) = 0.5, P(X=3) = 0.2. What is E(X)?

Q22Easyrandom-variables

If you bet $1 on a fair coin flip and win $2 on heads or lose $1 on tails, what is your expected profit per flip?

Q23Mediumrandom-variables

If X and Y are independent random variables with Var(X) = 4 and Var(Y) = 9, what is Var(X + Y)?

Q24Mediumrandom-variables

A fair die is rolled. Let X be the result. What is Var(X)?

Q25Mediumrandom-variables

If E(X) = 5 and E(Y) = 3, what is E(2X - 3Y + 7)?

Q26Mediumrandom-variables

What is the expected number of rolls of a fair die needed to get the first 6?

Q27Hardrandom-variables

A random variable X follows a Poisson distribution with mean 4. What is P(X = 0)?

Q28Easyrandom-variables

If X is uniformly distributed on [0, 10], what is P(3 < X < 7)?

Q29Hardrandom-variables

Two independent random variables X and Y each have mean 0 and variance 1. What is E((X + Y)^2)?

Q30Hardrandom-variables

A game costs $5 to play. You draw a card from a standard deck: face card wins $15, ace wins $25, anything else wins nothing. What is the expected profit?

Probability Distributions

Covers binomial, normal, geometric, and other key distributions with their properties and applications.

Q31Easyprobability-distributions

A coin with P(heads) = 0.6 is flipped 5 times. What is the probability of getting exactly 3 heads?

Q32Easyprobability-distributions

For a standard normal distribution, approximately what percentage of values fall within one standard deviation of the mean?

Q33Mediumprobability-distributions

If X ~ Binomial(n=20, p=0.5), what are the mean and standard deviation of X?

Q34Easyprobability-distributions

A z-score of 2.0 corresponds to a value that is:

Q35Mediumprobability-distributions

The number of customers arriving at a store follows a Poisson distribution with an average of 10 per hour. What is the probability of exactly 10 customers in one hour?

Q36Easyprobability-distributions

Which distribution models the number of trials until the first success in independent Bernoulli trials?

Q37Mediumprobability-distributions

X ~ Normal(100, 15). What is P(X > 130)?

Q38Mediumprobability-distributions

A binomial distribution with n=100 and p=0.5 can be well approximated by which normal distribution?

Q39Hardprobability-distributions

If X has an exponential distribution with rate lambda = 2, what is E(X)?

Q40Hardprobability-distributions

The Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as sample size increases, regardless of the population distribution. This requires:

Scoring Guide

Total possible: 40

Excellent36-40: Excellent — you have strong mastery of probability concepts
Good28-35: Good — solid foundation with some gaps to address
Needs WorkBelow 28: Needs work — review the topics where you struggled

Study Recommendations

  • Draw tree diagrams for every conditional probability problem to visualize the branching outcomes
  • Practice the complement technique — whenever you see 'at least one,' compute 1 minus the probability of none
  • For counting problems, always ask: does order matter? Is repetition allowed? This determines permutations vs. combinations
  • Simulate probability experiments in code to build intuition before doing the math
  • Master the key distribution formulas (binomial, Poisson, normal) and know when each applies
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