Statistics Chapter 1 Review Name: ______
For questions 1-4, explain whether each of the following constitutes a sample or a population.
1. Credit card debts for 100 families selected from a city.
2. Number of home runs hit by all Major League baseball players in 2005.
3. Weekly salaries of all employees of a company.
4. Amount spent on prescription drugs by 50 people at a particular pharmacy.
For questions 5-6, decide whether each numerical measurement is a statistic or a parameter.
5. Based on a sample of 877 executives, it is found that 45% of them would not hire someone with a typographical error on their job application
6. In London, there were 2,460 registered cab drivers in 2005. It was found that 4% of the cab drivers did not have a valid driver’s license that year.
7. In #5 above, which part of the study represents descriptive statistics?
8. Use the study in #6 to make an inference about the population of cab drivers in London.
For questions 9-13, decide whether the data below are qualitative or quantitative.
9. Number of people in a family.
10. The color of the cars that a family owns.
11. Marital status (single, married, divorced, etc) of the members of a family.
12. The age of each person in the family.
13. The social security number of each person.
For questions 14-21, decide whether the data below are at the nominal, ordinal, interval or ratio level.
14. The grade you receive on a test: A, B, C, D, or E.
15. The price of your college textbooks.
16. The temperature outside right now.
17. The hair color of people waiting in line at the movies.
18. Which of the four levels of data listed above can be compared using multiplication?
19. Which of the four levels of data can be categorized and put in some kind of significant order?
20. Which of the four levels of data can only be put into categories?
21. Which of the four levels of data can be compared using subtraction, but not multiplication?
For questions 22-25, which method of data collection would you use to collect data for the study: observation, perform an experiment, simulation, or survey?
22. A study that shows the number of hours that college students spend each week on homework.
23. A study on how a drug can lower cholesterol levels.
24. The number of times a 3-month touches his or her face while eating.
25. A researcher wants to know how texting while driving affects traffic accidents.
For questions 26-30, which sampling technique would be bests for each study below: random sample, stratified sample, cluster sample, convenience, or systematic sample?
26. A marketing expert for MTV is planning a survey in which 50 people will be randomly selected from each age group of 10-19 years, 20-29 years, and so on.
27. Asking people in one of your classes what their opinion is on the new choices for lunch at school.
28. Police at a traffic checkpoint check every fourth car to see if occupants are wearing seatbelts.
29. A college conducts a study of attitudes about drinking on campus by randomly selecting 10 different classes and interviewing all of the students in those classes.
30. In a poll of 1060 adults, the subjects were selected by using a computer to randomly generate telephone numbers and then those numbers were called.
31. Give an example of a confounding variable.
32. Why is replication important when doing a study or an experiment?
33. Why is blinding important when performing an experiment?
34. The Coca Cola company has 366,000 stockholders and a poll is conducted by randomly selecting 30 stockholders from each of the 50 states. The number of shares held by each sampled stockholder is then recorded.
a) Identify whether the data collecting is qualitative or quantitative.
b) Identify the level of measurement of the data (nominal, ordinal, interval or ratio).
c) Which type of sampling (random, systematic, convenience, stratified, or cluster) is being used?
d) If the average (mean) number of shares is calculated, is the result a statistic or parameter?