Random Sampling and Population Inferences — 7th Grade

Question 1

What is a representative sample?

Accepted Answer

A sample that accurately reflects the characteristics of the population

Question 2

Why is random sampling important in research?

Accepted Answer

It reduces bias and ensures every individual has a chance to be included

Question 3

If a sample is taken from a population of students, what can you estimate about the population?

Accepted Answer

The average height of all students

Question 4

Which of the following is an example of a random sample?

Accepted Answer

Selecting students using a random number generator

Question 5

What could happen if a sample is not representative?

Accepted Answer

The conclusions drawn may be inaccurate

Question 6

When comparing samples of the same size, what are we looking for?

Accepted Answer

Variation in estimates of the population

Question 7

What is one reason random sampling produces valid inferences?

Accepted Answer

It prevents certain groups from being overrepresented

Question 8

What is a potential issue with a sample taken only from volunteers?

Accepted Answer

It may not represent the entire population

Question 9

If two random samples give very different estimates, what does this indicate?

Accepted Answer

There is variability in the population

Question 10

What is the best way to ensure your sample is representative?

Accepted Answer

Use random sampling methods

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