Flashcard--Discrete and Random Variables
Flashcard
•
Mathematics
•
12th Grade
•
Practice Problem
•
Hard
+3
Standards-aligned
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16 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 students in a class or the number of heads when flipping a coin multiple times.
2.
FLASHCARD QUESTION
Front
What is a continuous random variable?
Back
A continuous random variable is a variable that can take on an infinite number of values within a given range. Examples include the height of students or the time it takes to run a race.
Tags
CCSS.6.SP.A.3
3.
FLASHCARD QUESTION
Front
Define probability distribution.
Back
A probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.
Tags
CCSS.HSS.MD.A.3
CCSS.HSS.MD.A.4
4.
FLASHCARD QUESTION
Front
What is the probability of getting exactly k successes in n independent Bernoulli trials?
Back
The probability is given by the formula P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where p is the probability of success on an individual trial.
Tags
CCSS.HSS.MD.A.3
CCSS.HSS.MD.A.4
5.
FLASHCARD QUESTION
Front
What does P(X > 2) represent?
Back
P(X > 2) represents the probability that the random variable X takes on a value greater than 2.
Tags
CCSS.7.SP.C.5
6.
FLASHCARD QUESTION
Front
How do you calculate the probability of at least k successes?
Back
To calculate the probability of at least k successes, sum the probabilities of getting k, k+1, ..., up to n successes.
Tags
CCSS.HSS.MD.A.2
7.
FLASHCARD QUESTION
Front
What is the expected value of a discrete random variable?
Back
The expected value is the long-term average value of repetitions of the experiment it represents, calculated as E(X) = Σ [x * P(X = x)] for all possible values x.
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