Probability
Definitions
Combinatorics
Conditional Probability
Distributions
100

What is the definition of probability?

The likelihood of an event occurring, often expressed as a fraction or percentage.

100

 Define a sample space in probability.

 The set of all possible outcomes of a random experiment.

100

 How many ways can you arrange the letters in the word "STATISTICS"?

11! (factorial)

100

What is the formula for conditional probability?

P(A | B) = P(A and B) / P(B)



100

 What is the difference between a discrete and a continuous random variable?

 Discrete random variables take on a countable number of distinct values, while continuous random variables can take on any value within a range.

200

If two events A and B are independent, how is the probability of both events occurring calculated?

P(A and B) = P(A) * P(B)

200

What is a random variable?

 A variable that can take on different values based on the outcome of a random experiment.

200

 What is the formula for calculating combinations?

C(n, r) = n! / [r! * (n - r)!]

200

 If events A and B are independent, what is P(A | B)?

P(A)

200

Explain the concept of the expected value of a discrete random variable

The weighted average of all possible values of the random variable, with weights given by their respective probabilities.

300

Define the complement of an event in terms of probability.

 The complement of an event A is the probability of not A, denoted as P(not A) or P(A').

300

 Define the term "odds" in probability.

 The ratio of the probability of success to the probability of failure.

300

 In how many ways can you choose 3 items from a set of 8 distinct items?

C(8, 3)

300

How is the probability of the intersection of two independent events calculated?

P(A and B) = P(A) * P(B)

300

 What is the probability mass function (PMF) of a discrete random variable?

 A function that gives the probability of each possible outcome.

400

 What is the difference between mutually exclusive and independent events?

Mutually exclusive events cannot occur together, while independent events are not influenced by each other.

400

Explain what a probability distribution is.

 A table or formula that assigns probabilities to each possible outcome of a random variable.



400

What is the principle of inclusion-exclusion in combinatorics?

A counting principle used to correct for overcounting when calculating probabilities.

400

 Explain what the multiplication rule is in terms of conditional probability.

 P(A and B) = P(A | B) * P(B)

400

What is the central limit theorem and how does it relate to distributions?

The central limit theorem states that the distribution of the sum (or average) of a large number of independent, identically distributed random variables approaches a normal distribution.

500

Explain what the Law of Large Numbers states in the context of probability.

 As the number of trials increases, the experimental probability approaches the theoretical probability.

500

Define the term "expected value" in the context of probability.

The mean or average value of a random variable based on its probability distribution.

500

How many ways can you arrange the letters in the word "MISSISSIPPI"?

 11! / (4! * 4! * 2!)

500

Define conditional probability and provide an example.

The probability of event A occurring given that event B has already occurred. Example: P(Rain | Cloudy).



500

Explain the difference between the mean and standard deviation of a probability distribution.

The mean is a measure of central tendency, while the standard deviation measures the spread or variability of the distribution.