Chapter 1

5. The entire group of interest; the sample is drawn from this group.
7. A sample that has the same characteristics of the population.
10. The independent variable in an experiment; the value controlled by researchers.
11. A ____________ random variable has measured outcomes.
13. A number that describes the central tendency of the data.
15. A type of sample in which subjects are selected based on their easy accessibility.
16. A subset of the population studied.
19. An inactive treatment that has no effect on the explanatory variable.
22. Not telling participants which treatment a subject is receiving.
23. A type of sample in which the population is divided into subgroups and entire subgroups are randomly selected.
24. Different values or components of the explanatory variable.

1. Data that are numerical in nature.
2. The dependent variable in an experiment.
3. A _____________ random variable is one whose outcomes are counted.
4. A numerical characteristic of the sample.
6. Data that consist of categories or labels.
8. A set of observations/possible outcomes.
9. A type of sample in which every kth subject of the population is selected.
12. The number of times a value occurs in a data set.
14. A method of selecting a sample that gives every member of the population an equal chance of being selected.
17. A number between zero and one (inclusive) that gives the likelihood that a specific event will occur.
18. A numerical value that is used to represent a population characteristic.
20. A characteristic of interest for each person or object in a population.
21. A type of sample in which the population is divided into subgroups and members from each subgroup are randomly selected.