Flashcard--Discrete and Random Variables

Flashcard--Discrete and Random Variables

Assessment

Flashcard

Mathematics

12th Grade

Practice Problem

Hard

CCSS
6.SP.A.3, HSS.MD.A.3, 7.SP.C.5

+3

Standards-aligned

Created by

Wayground Content

FREE Resource

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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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