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Sampling Methods for Statistics Chapter Exam

Exam Instructions:

Choose your answers to the questions and click 'Next' to see the next set of questions. You can skip questions if you would like and come back to them later with the yellow "Go To First Skipped Question" button. When you have completed the practice exam, a green submit button will appear. Click it to see your results. Good luck!

Page 1

Question 1 1. Why is systematic random sampling unbiased?

Question 2 2. When doing systematic sampling, you must remember that all outcomes must be given _____ chance of being selected.

Question 3 3. To use systematic random sampling, you must first create a list of your population, and then:

Question 4 4. According to the central limit theorem, if multiple independent variables have the same relative effect on an outcome, what is the result of summing those variables?

Question 5 5. Based on the central limit theorem application, which of the following statistical processes would not become easier to describe or analyze?

Page 2

Question 6 6. What is the distribution pattern of data that the central limit theorem makes use of?

Question 7 7. Which of the following is a type of random sampling?

Question 8 8. For which type of study is it most appropriate to use a random sample?

Question 9 9. A _____ is a part of a population used to describe the whole group.

Question 10 10. A researcher is studying a population, and decides to use simple random sampling. Why might they have made this decision?

Page 3

Question 11 11. What is a type of random sampling where the variables have an equal, and unsystematic, chance of selection?

Question 12 12. Simple random sampling is usually done _____.

Question 13 13. Which of the following is TRUE, according to the central limit theorem?

Question 14 14. Which of the following statements is an implication of the central limit theorem?

Question 15 15. A scientist is measuring the diameters of tree trunks, measuring twenty trees per trip. If the scientist increases their sample size to thirty per trip, then what change should they expect to see in the means of the samples?

Page 4

Question 16 16. What does the normal distribution look like?

Question 17 17. What is a Z-score?

Question 18 18. A biologist has a sample of lizards from a certain area, and their weights are normally distributed. If the biologist wants to expand the sample, but maintain its integrity, what should they do? Why?

Question 19 19. Stratified random sampling works best when the researcher is familiar with the demographics of the population and:

Question 20 20.

Jackie is conducting a survey. Her population contains 100 people with strata divided into the following proportions:

20%, 10%, 10%, 30%, 30%

If Jackie wants to select 10 people for her sample, then how many people from each stratum would she pick?

Page 5

Question 21 21. When selecting strata groups, it is recommended you have:

Question 22 22. When members belong to multiple groups in the population this is called _____. Cluster sampling _____ have this.

Question 23 23. _____ is a sampling method where different groups within a population are used as a sample.

Question 24 24. How do cluster sampling and stratified random sampling differ?

Question 25 25. Sandra is selling her new line of all natural make-up products and wants to know the popularity of certain colors among teenagers. She hands out a survey to all of the students in her teenage daughter's class and asks them to identify their favorite make up colors. Which is the population and which is the sample in this scenario?

Page 6

Question 26 26. Elizabeth is waiting for her flight at the airport. She decides to conduct an experiment. She wants to know how many people at the airport carry a laptop with them for their flight. She sees 50 people walk past her as she waits. Thirty of those people are carrying laptops. What is the population and sample in this scenario?

Question 27 27. Marco is conducting an experiment on training certain breeds of dogs. He wants to know how long, on average, it would take to teach a Labrador to fetch an object. He gets a group of dogs to conduct his experiment. 5 of the dogs are Labradors and 3 of the dogs are Dalmatians. What is the population and sample in this experiment?

Question 28 28. Which of the following explains the difference between probability and non-probability sampling?

Question 29 29. Mario is worried that the results of his study may not be valid because he suspects that there is a problem with the sample that he chose. Which of the following types of error is Mario worried about?

Question 30 30. Mattie is worried that the difference between the results of her study and what is actually true for the population may be too large. Which of the following would best define what is Mattie worried about?

Sampling Methods for Statistics Chapter Exam Instructions

Choose your answers to the questions and click 'Next' to see the next set of questions. You can skip questions if you would like and come back to them later with the yellow "Go To First Skipped Question" button. When you have completed the practice exam, a green submit button will appear. Click it to see your results. Good luck!

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