Samples and Populations Practice

Determine whether each sample is a random sample or a biased sample. Paula wants to know the favorite type of music for students in her class. She puts the names of all students in a hat, draws 8 names, and surveys those students

• Biased, each student has an equal chance of being selected.

• Biased, not all students have an equal chance of being selected.

• Random, each student has an equal chance of being selected.

• Random, not all students have an equal chance of being selected.

There are 90 boxes to be shipped. The shipping clerk takes a sample of 9 boxes to estimate the total weight. The dot plot below shows the weights of the sample. What is the median weight in the sample?

• 26 oz

• 27 oz

• 28 oz

• 29 oz

There are 90 boxes to be shipped. The shipping clerk takes a sample of 9 boxes to estimate the total weight. The dot plot below shows the weights of the sample. Which box plot shows the same data as the dot plot?

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• 
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A band has sold out a concert with 4,200 seats. A random sample of 120 ticket buyers is surveyed, and 28 buyers made their purchase on the first day tickets were being sold. How many of the 4,200 tickets are likely to have been purchased on the first day they were available?

• 900

• 28

• 4200

• 980

What is the difference between a sample and a population?

• population

• correlation

• sample

• causation

• ideation

• application

• understudy

• sample survey

• experiment

• observational study

What is the difference between a sample and a population?

A ​ (a)   is a set of all items or events which are of interest for some question or experiment.

It is generally the group you are trying to make predictions or learn something about.

For most studies, it is either impossible or impractical to obtain data on an entire population.

This is why you need to use a smaller selection of items.

A ​ (b)   is a selection of observations from a population.

We measure data in a known sample to make a prediction, or inference, about the population.

• population

• correlation

• sample

• causation

• ideation

• application

• understudy

• sample survey

• experiment

• observational study

A (a)   is a part of a group being surveyed.

• sample

• population

• random sample

• quartile

Match the following

• N

• Population Size

• Statistic

• Sample Size

• n

• Population Proportion

• Parameter

• Sample

• p

• Population

Juna is interested in determining if all surfers in Florida own a long board. He surveys a random sample of 54 Florida surfers to determine if they own a long board. Match the answer to the question.

• Who is the population?

• The 54 surfers

• Will this pass the CLT?

• Yes, its random, the sample and population is large.

• Who is the sample?

• All Florida surfers

Juna is interested in determining if all surfers in Florida own a long board. He surveys a random sample of 54 Florida surfers to determine if they own a long board. Match the answer to the question.

• Who is the sample?

• All Florida surfers

• Who is the population?

• The 54 surfers

• Will this pass the CLT?

• Yes, its random, the sample and population is large.