MATHGALING!!!!!!

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Across
  1. 4. are measurements for which there is no natural numerical scale, but which consist of attributes, labels, or other non-numerical characteristics.
  2. 6. is data that has been bundled together in categories.
  3. 7. is data gathered from studies, surveys, or experiments that have been run by other people or for other research.
  4. 8. are numerical measurements that arise from a natural numerical scale.
Down
  1. 1. can only take certain values. For example, the results of rolling 2 dice. It only has the values 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12.
  2. 2. can take any value (within a range). Example: Time in a race: you could even measure it to fractions of a second.
  3. 3. is the data you first gather from an experiment or study. The data is raw — that is, it’s not sorted into categories, classified, or otherwise grouped.
  4. 5. is a type of data that is collected by researchers directly from main sources through interviews, surveys, experiments, etc.