Ch 15 Binomial Probability Practice w/use of Binompdf & cdf

Ch 15 Binomial Probability Practice w/use of Binompdf & cdf

10th - 12th Grade

16 Qs

quiz-placeholder

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Ch 15 Binomial Probability Practice w/use of Binompdf & cdf

Ch 15 Binomial Probability Practice w/use of Binompdf & cdf

Assessment

Quiz

Mathematics

10th - 12th Grade

Medium

CCSS
HSS.CP.B.9, HSS.MD.A.3

Standards-aligned

Created by

Wendy Nosal

Used 9+ times

FREE Resource

16 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is NOT true for Bernoulli Trials?

All trials must be independent.

Each trial must be classified as a success or a failure.

All trials are dependent on each other.

The number of successes in the trials is counted.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Is this Bernoulli Trial? Shuffle a deck of 52 cards. Turn over the top card. Put the card back in the deck, shuffle again. Repeat the process 50 times. Let X = the number of aces you observe.

Yes

No, the trials are not independent.

No, there are more than 2 outcomes.

No, the probability is not constant.

3.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Is this a Bernoulli Trial? Shuffle a deck of 52 cards. Turn over the top card. Do not replace the card. Repeat the process 5 times. Let X = the card you observe. Select all correct answers.

Yes

No, the trials are not independent.

No, there are more than 2 outcomes

No, the probability is not constant.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the n stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Successes
Probability of Failures

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the x stand for in the binomial probability formula?

Number of trials

Number of Successes

Probability of Successes

Probability of Failures

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the p stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Successes
Probability of Failures

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the q or (1-p) stand for in the binomial probability formula?

Number of trials

Number of Successes

Probability of Successes

Probability of Failures

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