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# Binomial Distributions and Probability

## P(X successes in 'n' trials): P(X=a) = nCa x p^a x q^(n-a)

Levels are CK-12's student achievement levels.
Basic Students matched to this level have a partial mastery of prerequisite knowledge and skills fundamental for proficient work.
At Grade (Proficient) Students matched to this level have demonstrated competency over challenging subject matter, including subject matter knowledge, application of such knowledge to real-world situations, and analytical skills appropriate to subject matter.
Advanced Students matched to this level are ready for material that requires superior performance and mastery.

## Binomial Distributions and Probability Quiz

by CK-12 //at grade

10 questions about Binomial Distributions and Probability.

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• Practice
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## Binomial Distributions and Probability Practice

by CK-12 //at grade
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• Critical Thinking

## Binomial Distributions and Probability Discussion Questions

by CK-12 //at grade

A list of student-submitted discussion questions for Binomial Distributions and Probability.

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## Binomial Distributions and Probability Post Read

by CK-12 //at grade

To organize ideas, increase comprehension, synthesize learning, demonstrate understanding of key concepts, and reinforce vocabulary using a Quickwrite.

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## Binomial Distributions and Probability Pre Read

by CK-12 //at grade

To activate prior knowledge, make personal connections, reflect on key concepts, encourage critical thinking, and assess student knowledge on the topic prior to reading using a Quickwrite.

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• Real World Application

## Binomial Distributions

by CK-12 //at grade

Students will investigate, "If you are at a party hanging out with friends, how likely is it that the people in your group have an STD?" They will use their knowledge of binomial distribution to answer the previous question.

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• Flashcards

## Probability Distributions Flashcards

by CK-12 //at grade

These flashcards help you study important terms and vocabulary from Probability Distribution, Binomial Distributions and Probability, and Multinomial Distributions.

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