Binomial Distribution

Binomial Distribution

Assessment

Flashcard

Mathematics

KG - Professional Development

Practice Problem

Hard

CCSS
HSS.MD.A.3, HSS.MD.B.6, HSS.MD.A.2

+2

Standards-aligned

Created by

Wayground Content

FREE Resource

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15 questions

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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 states and is characterized by the number of trials, the probability of success in each trial, and the number of successes.

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

2.

FLASHCARD QUESTION

Front

What are the parameters of a binomial distribution?

Back

The parameters of a binomial distribution are n (the number of trials) and p (the probability of success on each trial).

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

3.

FLASHCARD QUESTION

Front

How do you calculate the probability of getting exactly k successes in n trials in a binomial distribution?

Back

The probability of getting exactly k successes in n trials is calculated using the formula: P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where (n choose k) = n! / (k!(n-k)!).

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

4.

FLASHCARD QUESTION

Front

What does 'n choose k' mean in the context of binomial distribution?

Back

'n choose k' refers to the number of ways to choose k successes from n trials, calculated as n! / (k!(n-k)!).

5.

FLASHCARD QUESTION

Front

What is the expected value (mean) of a binomial distribution?

Back

The expected value (mean) of a binomial distribution is given by the formula: E(X) = n * p.

Tags

CCSS.HSS.MD.A.2

6.

FLASHCARD QUESTION

Front

What is the variance of a binomial distribution?

Back

The variance of a binomial distribution is given by the formula: Var(X) = n * p * (1 - p).

7.

FLASHCARD QUESTION

Front

In the context of the binomial distribution, what does 'success' mean?

Back

'Success' refers to the outcome of interest in a binomial experiment, which is the event we are measuring the probability of.

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