1. SEMESTER 1 FINAL EXAM REVIEW Vocabulary Review (All Gathering Data Vocabulary)

2. Vocabulary Final Exam Review  You will work independently to write down the vocabulary term that matches the definition on the slide shown.  Only Items On Your Desk:  White Board  Sock  White Erase Marker  Everything else…underneath your chair

3. A numerical summary of a sample Statistics

4. The entire group of individuals to be studied Population

5. Errors that result from undercoverage, nonresponse bias, response bias, or data-entry error Nonsampling Error

6. Nondisclosure of the treatment an experimental unit is receiving Blinding

7. Numerical summary of a population Parameter

8. Innocuous medication, such as a sugar pill. Placebo

9. Experiment is one in which neither the experimental unit nor the researcher in contact with the experimental unit knows which treatment the experimental unit is receiving Double-Blind

10. Requires the experimental unit to look back in time or requires the researcher to look at existing records Retrospective

11. Each experimental unit is randomly assigned to a treatment Completely Randomized Design

12. Consists of organizing and summarizing data. Descriptive statistics describe data through numerical summaries, tables, and graphs. Descriptive Statistics

13. Subset of the population that is being studied Sample

14. Characteristics of the individuals within the population Variable

15. Classification of individuals based on some attribute or characteristic Categorical Qualitative Variable

16. Numerical measures of individuals Only numerical! Quantitative Variable

17. The “X” variable Explanatory Variable

18. Researcher assigns the individuals in a study to a certain group, intentionally changes the value of the explanatory variable, and then records the value of the response variable for each group Designed Experiment

19. Results of the sample are not representative of the population Bias

20. Exists when individuals selected to be in the sample who do not respond to the survey have different opinions from those who do. Nonresponse Bias

21. Measures the value of the response variable without attempting to influence the value of either the response or explanatory variable. Simply, the researcher observes and does not influence Observational Study

22. Observations corresponding to a quantitative variable Quantitative Data

23. Obtained by separating the population into non- overlapping groups called strata and then obtaining a simple random sample from each stratum. Simply, a stratified sample is a simple random sample of different divisions of the population Stratified Sample

24. The “Y” variable Response Variable