Random Sampling

Multiple Choice

What is the population?

• The entire group being studied.

• A small group chosen to represent the whole.

• The people who collect the data.

• The data collected.

Multiple Choice

Which of the following is a random sample?

• Asking 5 random students from a school directory.

• Asking the first 5 students you see in the hallway.

• Surveying only students from your class.

• Asking your friends at lunch.

Multiple Choice

What makes a sample random?

• Every member has an equal chance of being chosen.

• It is quicker and easier to gather.

• It comes from your group of friends.

• It is the first group available.

Multiple Choice

Which is an example of a non-random sample?

• Using a number generator to select students.

• Asking only 7th graders at lunch.

• Drawing names from a hat.

• Rolling a dice to choose groups.

Multiple Choice

What is the main advantage of a random sample?

• It's quicker to gather.

• It reduces bias and better represents the population.

• It always gives exact population data.

• It's easier to analyze.

Multiple Choice

Why might a non-random sample lead to false results?

• It's too expensive.

• It does not represent the entire population fairly.

• It is too large.

• It always has math errors.

Multiple Choice

If a sample is biased, what does that mean?

• It is too small.

• It does not fairly represent the population.

• It has too much data.

• It is always random.

Multiple Choice

When we use a random sample to generalize, this is called:

• prediction

• bias

• inference

• estimation

Multiple Choice

A teacher wants to know how many students like science. Which is a random sample?

• Asking all students in her class.

• Asking every 10th student on the roster.

• Asking students in the science club.

• Asking her group of teacher friends.

Multiple Choice

If 40% of a random sample prefers soccer, what can we infer?

• Exactly 40% of the population prefers soccer.

• About 40% of the population prefers soccer.

• Only the sample likes soccer.

• Most likely no one else likes soccer.