DataCollectionPrinciples

2. a bias when individuals provide inaccurate information
4. sampling method when each observational unit has an equal chance
7. when sample is skewed toward particular interests, making it not representative of the population
12. when onve variable directly causes a change in the other
13. when too many people refuse to provide information in a survey
14. a number summarizing the population
15. non-representative sample where easily accessible individuals are more likely to be included
17. when the method used to select a sample makes it not representative of the population
18. the target group of interest, usually too large to collect data for every observational unit
20. evidence gathered in a haphazard way, where observational units do not represent the population

1. the entity on which data is collected and analyzed in a study
3. study method that identifies individuals and collects information as events unfold
5. limit of what an observational study can show
6. variable that was not included in the study, but is associated in the variables of interest
8. study method that collects data after events have taken place
9. study method of collecting data that does not directly interfere with the observational units
10. a number summarizing the sample data
11. when two variables move together
16. non-representative sample where individuals choose themselves
19. set a subset of the observational units in the population