Distributions Understanding

Distributions Understanding

12th Grade

12 Qs

quiz-placeholder

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Distributions Understanding

Distributions Understanding

Assessment

Quiz

Mathematics

12th Grade

Hard

Created by

Anthony Clark

FREE Resource

12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A factory produces light bulbs, and the probability that a bulb is defective is 0.05. If a random sample of 10 bulbs is selected, what is the probability that exactly 2 bulbs are defective? Use the binomial distribution formula.

0.0746

0.1029

0.0032

0.1938

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following scenarios is best modeled by a geometric distribution?

The number of defective items in a batch of 100.

The number of phone calls received in an hour.

The number of trials until the first success in a series of independent Bernoulli trials.

The number of students in a classroom.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A call center receives an average of 5 calls per hour. What is the probability that exactly 3 calls are received in a given hour? Use the Poisson distribution formula.

0.1404

0.2650

0.1008

0.1804

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which distribution would you use to model the number of successes in a fixed number of independent Bernoulli trials?

Poisson Distribution

Geometric Distribution

Binomial Distribution

Normal Distribution

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

If the probability of success in a single trial is 0.2, what is the probability that the first success occurs on the 4th trial? Use the geometric distribution formula.

0.1024

0.1280

0.4096

0.2048

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A bookstore sells an average of 3 rare books per week. What is the probability that they sell exactly 2 rare books in a week? Use the Poisson distribution formula.

0.2240

0.4232

0.1804

0.2241

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is a characteristic of the Poisson distribution?

It models the number of successes in a fixed number of trials.

It models the time until the first success.

It models the number of events in a fixed interval of time or space.

It models the probability of a single success.

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