Stats Terminology
Across
- 5. Do the results of the study hold for people outside the study sample
- 10. Help us draw inferences/insights from the data (e.g. a t-test or an ANOVA)
- 12. The people/subjects that are not in our sample
- 13. This like the interval-scale of measurement but the zero is meaningful (e.g. 0% on a test means you got 0 things correct)
- 14. Type of variable which has indivisible categories (e.g. the things in the categories must be whole numbers like the number of participants in a condition)
- 15. A set of scores or measurements
Down
- 1. The people/subjects in our study taken from the population
- 2. Method of sampling when each person has an equal chance of being in the study
- 3. Criteria that must be met in order to use a certain statistical test like an ANOVA or t-test
- 4. Describe the data/ summary of measurements
- 6. A type of measurement where observations are ranked/ordered
- 7. Type of variable which has infinite possible values (e.g. time or length)
- 8. A type of measurement where the zero in the data doesn't have meaning and all the categories are the same size (e.g. temperature - 0 degrees doesn't mean there is no temperature)
- 9. A type of measurement where observations are put into categories(e.g. categories of types of food)
- 11. Tests that are used to evaluate the results of an experiment