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navidi_monk_essential_statistics_1e_ch1_3

Section 1.2 Types of Data 15 Solution a. Age at a person’s last birthday is discrete. The possible values are 0, 1, 2, and so forth. b. Height is continuous. A person’s height is not restricted to any list of values. c. Number of siblings is discrete. The possible values are 0, 1, 2, and so forth. d. Distance commuted to work is continuous. It is not restricted to any list of values. Check Your Understanding 2. Which are qualitative and which are quantitative? a. The number of patients admitted to a hospital on a given day b. The model of car last sold by a particular car dealer c. The name of your favorite song d. The seating capacity of an auditorium 3. Which are nominal and which are ordinal? a. The names of the streets in a town b. The movie ratings G, PG, PG-13, R, and NC-17 c. The winners of the gold, silver, and bronze medals in an Olympic swimming competition 4. Which are discrete and which are continuous? a. The number of female members of the U.S. House of Representatives b. The amount of water used by a household during a given month c. The number of stories in an apartment building d. A person’s body temperature Answers are on page 18. SECTION 1.2 Exercises Exercises 1–4 are the Check Your Understanding exercises located within the section. Understanding the Concepts In Exercises 5–10, fill in each blank with the appropriate word or phrase. 5. The characteristics of individuals about which we collect information are called . 6. Variables that classify individuals into categories are called . 7. variables are always numerical. 8. Qualitative variables can be divided into two types: and . 9. A variable is a quantitative variable whose possible values can be listed. 10. variables can take on any value in some interval. In Exercises 11–14, determine whether the statement is true or false. If the statement is false, rewrite it as a true statement. 11. Qualitative variables describe how much or how many of something there is. 12. A nominal variable is a qualitative variable with no natural ordering. 13. A discrete variable is one whose possible values can be listed. 14. A person’s height is an example of a continuous variable. Practicing the Skills In Exercises 15–24, determine whether the data described are qualitative or quantitative. 15. Your best friend’s name 16. Your best friend’s age 17. The number of touchdowns in a football game 18. The title of your statistics book 19. The number of files on a computer 20. The waist size of a pair of jeans 21. The ingredients in a recipe 22. Your school colors 23. The makes of cars sold by a particular car dealer 24. The number of cars sold by a car dealer last month In Exercises 25–32, determine whether the data described are nominal or ordinal. 25. The categories Strongly disagree, Disagree, Neutral, Agree, and Strongly agree on a survey


navidi_monk_essential_statistics_1e_ch1_3
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