Question 1

Which of the following is an example of random sampling?

Accepted Answer

Asking every 5th person who enters a store for their opinion

Answer

Choosing only friends to participate in a survey

Answer

Surveying all family members at a family reunion

Question 2

What is the purpose of random sampling in statistics?

Accepted Answer

To ensure that every individual in the population has an equal chance of being selected

Answer

To manipulate the results

Answer

To exclude certain groups from the sample

Answer

To gather data quickly and easily

Question 3

Which of the following sampling methods is most likely to result in a representative sample?

Accepted Answer

Simple random sampling

Answer

Judgment sampling

Answer

Convenience sampling

Answer

Cluster sampling

Question 4

What is sampling distribution?

Accepted Answer

A distribution that describes the probability of selecting a sample of a particular size from a population

Answer

A distribution that controls the sample size

Answer

A distribution that is unrelated to samples and populations

Answer

A distribution that shows the spread of values in a population

Question 5

In simple random sampling, every individual in the population has the same chance of being selected.

Accepted Answer

true

Answer

false

Question 6

A statistician wants to study the eating habits of high school students in the country. Which sampling method would be most appropriate for this study

Accepted Answer

Random sampling

Answer

Stratified sampling

Answer

Cluster sampling

Answer

Systematic sampling

Question 7

What is the sampling error?

Accepted Answer

The error that occurs when the selected sample is not representative of the population

Answer

The error that happens during the data collection process

Answer

The error in the data analysis phase

Answer

The error caused by taking a sample instead of conducting a census

Question 8

Which of the following is a disadvantage of convenience sampling?

Accepted Answer

It can lead to biased results

Answer

It requires a large sample size

Answer

It ensures a representative sample

Answer

It is time-consuming

Question 9

When is stratified sampling most useful?

Accepted Answer

When the population is heterogeneous

Answer

When the population is unknown

Answer

When the population is homogeneous

Answer

When the population is small

Question 10

What is the main advantage of quota sampling?

Accepted Answer

It ensures an equal representation of all subgroups in the population

Answer

It guarantees a random sample

Answer

It is easy and cost-effective to implement

Answer

It only selects participants from a certain quota

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