Stats Terminology

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Across
  1. 5. Do the results of the study hold for people outside the study sample
  2. 10. Help us draw inferences/insights from the data (e.g. a t-test or an ANOVA)
  3. 12. The people/subjects that are not in our sample
  4. 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)
  5. 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)
  6. 15. A set of scores or measurements
Down
  1. 1. The people/subjects in our study taken from the population
  2. 2. Method of sampling when each person has an equal chance of being in the study
  3. 3. Criteria that must be met in order to use a certain statistical test like an ANOVA or t-test
  4. 4. Describe the data/ summary of measurements
  5. 6. A type of measurement where observations are ranked/ordered
  6. 7. Type of variable which has infinite possible values (e.g. time or length)
  7. 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)
  8. 9. A type of measurement where observations are put into categories(e.g. categories of types of food)
  9. 11. Tests that are used to evaluate the results of an experiment