Question 1

Which of the following best describes a parameter in statistics?

Accepted Answer

A numerical summary of a population.

Question 2

A university wants to estimate the average tuition paid by its students. They survey 500 randomly selected students from all faculties. What is the population in this scenario?

Accepted Answer

All UBC students.

Question 3

Why is randomization important in sampling?

Accepted Answer

It minimizes the chance of obtaining a nonrepresentative sample.

Question 4

Which sampling method involves dividing the population into subgroups and then taking a simple random sample from each subgroup?

Accepted Answer

Stratified sampling

Question 5

A health organization sends a nurse to randomly selected schools and collects data on all children in those schools. What type of sampling is this?

Accepted Answer

One-stage cluster sampling

Question 6

Suppose a researcher selects every 50th name from an alphabetical list of all city residents to survey about public transportation. What sampling method is being used?

Accepted Answer

Systematic sampling

Question 7

Which of the following is an example of undercoverage?

Accepted Answer

Surveying only students who visit the library to estimate library usage among all students.

Question 8

What is the main risk of using convenience sampling?

Accepted Answer

It may result in a biased sample that is not representative of the population.

Question 9

A call-in poll about a controversial issue is most likely to suffer from which type of bias?

Accepted Answer

Voluntary response bias

Question 10

If a survey is conducted only during working hours and excludes those who are at work, what type of bias is most likely to occur?

Accepted Answer

Nonresponse bias

Question 11

Which of the following best describes sampling variability?

Accepted Answer

The difference in characteristics from sample to sample.

Question 12

A survey asks, 'Have you ever driven impaired?' and some respondents answer 'no' even if they have. What type of bias is this?

Accepted Answer

Response bias

Question 13

Which formula represents the probability of selecting a specific individual in a simple random sample of size $$n$$ from a population of size $$N$$?

Accepted Answer

$$\frac{1}{N}$$

Question 14

Which sampling method is most appropriate when the population is naturally divided into groups and it is cost-efficient to sample entire groups?

Accepted Answer

Cluster sampling

Question 15

A researcher wants to estimate the mean income of all city residents. She divides the city into neighborhoods and randomly selects some neighborhoods, then surveys all residents in those neighborhoods. What sampling method is this?

Accepted Answer

One-stage cluster sampling

Question 16

Which of the following statements about sample size is TRUE?

Accepted Answer

A large, biased sample is still a bad sample.

Question 17

If a sample is drawn only from students in one faculty to estimate the mean tuition of all students, what is the main problem?

Accepted Answer

The sample is not representative of the population.

Question 18

Which of the following is an example of multistage sampling?

Accepted Answer

Randomly selecting schools, then randomly selecting students within those schools.

Question 19

Which of the following is NOT a source of bias in sampling?

Accepted Answer

Simple random sampling

Question 20

A market researcher sends surveys to 50 households in his own neighborhood to estimate average housing prices in the city. What type of sampling is this?

Accepted Answer

Convenience sampling

Chapter 9: Sample Surveys – Principles, Methods, and Biases

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