Probability MC Practice - Chapter 6
Flashcard
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Mathematics
•
11th Grade
•
Practice Problem
•
Hard
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1.
FLASHCARD QUESTION
Front
What is a binomial distribution?
Back
A binomial distribution is a probability distribution that summarizes the likelihood that a value will take one of two independent outcomes under a given number of trials. It is defined by two parameters: n (number of trials) and p (probability of success).
2.
FLASHCARD QUESTION
Front
What is a geometric distribution?
Back
A geometric distribution models the number of trials needed to get the first success in a series of independent Bernoulli trials, each with the same probability of success. It is characterized by a single parameter p (probability of success).
3.
FLASHCARD QUESTION
Front
What is the difference between binomial and geometric distributions?
Back
The key difference is that a binomial distribution has a fixed number of trials (n), while a geometric distribution continues until the first success occurs, meaning the number of trials is variable.
4.
FLASHCARD QUESTION
Front
What does it mean for random variables X and Y to be independent?
Back
Two random variables X and Y are independent if the occurrence of one does not affect the probability of the occurrence of the other. This means P(X and Y) = P(X) * P(Y).
5.
FLASHCARD QUESTION
Front
How do you calculate the expected value of a random variable?
Back
The expected value (E) of a random variable is calculated by summing the products of each possible value and its corresponding probability: E(X) = Σ [x * P(x)].
6.
FLASHCARD QUESTION
Front
What is the formula for calculating the expected profit in a business scenario?
Back
The expected profit is calculated by multiplying each outcome by its probability and summing these products: E(Profit) = (Profit1 * P1) + (Profit2 * P2) + ... + (ProfitN * PN).
7.
FLASHCARD QUESTION
Front
What is the probability of getting a red card from a standard deck of cards?
Back
In a standard deck of 52 cards, there are 26 red cards (hearts and diamonds). Therefore, the probability of drawing a red card is P(red) = 26/52 = 0.5.
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