Содержание
- 2. Distinguish between a population and a sample Things you should know from Chapter 1 ANSWERS Examples:
- 3. Distinguish between a parameter and a statistic Examples: Identify if each describes a parameter or a
- 4. Distinguish between a parameter and a statistic Examples: Identify if each describes a parameter or a
- 5. Distinguish between descriptive statistics and inferential statistics Example: A survey of 39 credit cards found that
- 6. Distinguish between descriptive statistics and inferential statistics Example: A survey of 39 credit cards found that
- 7. Distinguish between qualitative and quantitative data. Examples: The monthly salaries of the employees at an accounting
- 8. Distinguish between qualitative and quantitative data. Examples: The monthly salaries of the employees at an accounting
- 9. Classify data according to the four levels of measurement. Examples: A list of badge numbers of
- 10. Classify data according to the four levels of measurement. Examples: A list of badge numbers of
- 11. Know how data are collected – by doing an observational study, performing experiment, using a simulation,
- 12. Examples: Which method of data collection would you use: A study on the effect of low
- 13. Know good ways to design an experiment. - Sample size, sampling methods, control/placebo with blind studies,
- 14. Identify/describe the different sampling techniques: simple random sampling, stratified sampling, cluster sampling, convenience sampling, and systematic
- 15. Identify a biased sample Examples: Identify a bias that might occur in the following studies: A
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