Chapter 1 REVIEW (Jarah)

2. Data that is numerical.
4. The most basic level of measurement.
7. A data set that has a definite end and has an easy way to count, despite being scattered.
9. Essentially the opposite of a treatment or a replacement for a treatment, "Sugar Pill"
10. A sample where all members of a population are randomly selected from sections of a population.
14. A sample that has members from each segment of a population.
15. Data that is categorical.
16. A data set that doesn't have a definite end, and is hard to have an absolute count.
17. A sample where the members of a population are only available to you.
19. Statistical data that is absolute fact.
20. A level of measurement where 0 means the absence of data, and multiples of the data make logical sense.

1. A study where the researcher doesn't influence the responses.
3. A method used in experiments to minimize lurking variables by having the subjects not know if they receive treatment or the placebo.
5. A level of measurement where 0 doesn't mean the absence of the data, but multiples of the data don't make sense.
6. A design in data gathering where each group has the same factors relating to the subjects (EX. Both groups having a 23-year-old Asian Man and Asian Woman.)
8. A study where the researcher applies a treatment before observing responses
11. A sample where every subject is assigned a number, and where each subject is randomly selected according to the numbers.
12. Statistical data that is a prediction.
13. An essential part to experiments, in which the experiment is performed again to see if the same result is observed twice.
18. A level of measurement that has a natural, logical order.