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Sampling and Population

Authored by Anthony Clark

Mathematics

7th Grade

Used 1+ times

Sampling and Population
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15 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Identify the Population:
Wicomico County Public Schools randomly selected 230 teachers to find out which technology resource it's teachers feel is the most effective.

230 Teachers

All Wicomico County Teachers

Students

Wicomico County Public Schools

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

If I wanted to know how many blades of grass are inside the track, which sampling method could I use?

Have my students count every blade of grass

Guess

Divide the grassy area into 1 inch sections, randomly pick several sections to count, average them together and multiply that by the total square inches.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

To get valid results, a sample must be...

biased

unbiased

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Identify the Sample:
A restaurant wants to know if their customers buy dessert when they eat out. As people leave the restaurant one evening, 20 people are surveyed at random. Eight people say they usually order dessert when they eat out. The restaurant concluded that most customers do not order dessert.

20 customers

All customers

8 customers

Dessert

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Unbiased sampling is:

when you choose the group you think will give you the answer you want, accept volunteers or survey by convenience

when any member of the population is equally likely to be chosen for the sample

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

To determine how often people eat out, every tenth person entering a Chinese restaurant is surveyed.

Biased Sample

Unbiased Sample

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

To determine how many people in a town support a new tax levy, 200 people are randomly selected from a phone book and then surveyed over the phone. Identify each sample as biased or unbiased and describe its type.

unbiased; systematic random sample

unbiased; simple random sample

biased; convenience sample

biased; voluntary response sample

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