
ProbStats Flashcard 4A Review - Discrete Probability Distributions
Flashcard
•
Mathematics
•
11th - 12th Grade
•
Practice Problem
•
Hard
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15 questions
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1.
FLASHCARD QUESTION
Front
What is a discrete random variable?
Back
A discrete random variable is a type of variable that can take on a countable number of distinct values. Examples include the number of siblings a person has or the number of cars in a parking lot.
2.
FLASHCARD QUESTION
Front
What is the standard deviation in a probability distribution?
Back
The standard deviation is a measure of the amount of variation or dispersion in a set of values. In a probability distribution, it quantifies how much the values deviate from the mean.
3.
FLASHCARD QUESTION
Front
How do you calculate the probability of an event?
Back
The probability of an event is calculated by dividing the number of favorable outcomes by the total number of possible outcomes.
4.
FLASHCARD QUESTION
Front
What does it mean for a game to be 'fair'?
Back
A game is considered fair if the expected value of the game is zero, meaning that the average outcome for players is neither a gain nor a loss.
5.
FLASHCARD QUESTION
Front
What is the expected value in a probability distribution?
Back
The expected value is the long-term average of all possible outcomes of a random variable, weighted by their probabilities.
6.
FLASHCARD QUESTION
Front
How do you find the probability of 'no more than' a certain number of occurrences?
Back
To find the probability of 'no more than' a certain number of occurrences, sum the probabilities of all outcomes from zero up to that number.
7.
FLASHCARD QUESTION
Front
What is the formula for standard deviation in a discrete probability distribution?
Back
The formula for standard deviation (σ) is: σ = √(Σ [x_i - μ]² * P(x_i)), where x_i is each value, μ is the mean, and P(x_i) is the probability of x_i.
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