Name that Distribution

This type of distribution involves counts.

• Continous distributions

• Discrete distributions

An example of this type of distribution would involve how many of each prize in a scratch off lottery game and the probability for winning that prize.

• Discrete distribution

• Poisson distribution

• Normal distribution

• Uniform distirbution

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CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

A discrete distribution can be presented as a table or a long list of values.

• True

• False

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CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

A discrete distribution can be shown as a _____________.

• Histogram

• Modified histogram

• Bar graph

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CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

An example of this type of distribution would be if you survey 50 people approaching a Girl Scout cookie sale table and determine the probability of at least 30 people buy Thin Mints.

• Uniform distribution

• Poisson distribution

• Binomial distribution

• Normal distribution

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CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

Any example of this type of distribution would be a group of 350 people being asked if they were employed.

• Binomial distribution

• Poisson distribution

• Normal distribution

• Uniform distribution

This type of distribution has only two options as answers (success/fail), a set number of identical trials, a set probability for success and independent events.

• Normal distribution

• Uniform distribution

• Poisson distribution

• Binomial distribution

This type of distribution is discrete, has independent events, describes events that happen over an interval of time, and the expected number of occurrences (lambda) is constant.

• Binomial distribution

• Normal distribution

• Poisson distribution

• Uniform distribution

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CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

The basis of the studying of people standing in lines is a _________ ___________,

• Normal distribution

• Uniform distribution

• Binomial distribution

• Poisson distribution

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CCSS.7.SP.C.7A

Use this type of distribution if you know you typically have 5 customers in 10 minutes and want the probability that you would have 8 customers in 10 minutes.

• Binomial distribution

• Normal distribution

• Uniform distribution

• Poisson distribution