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Understanding Data Measurement Levels in Statistics

Learn about nominal, ordinal, interval, and ratio measurements in statistics. Differentiate between qualitative and quantitative data. Engage in a pop quiz and exit ticket to assess understanding.

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Understanding Data Measurement Levels in Statistics

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  1. Do Now • Which of the above stats are: • Nominal • Ordinal • Interval • Ratio

  2. Objectives • 28.January.2011 • Students will be able to… • Determine levels of measurements of data.

  3. Agenda • Do Now (5 min) • Review Yesterday (5 min) • Levels of Measurement (15 min) • Pop Quiz (10 min) • Exit Ticket (5 min)

  4. Yesterday • Qualitative vs. Quantitative • Discrete vs. Continuous. • Discrete vs. Discreet

  5. Nominal • Data consists of names, labels, or categories only that cannot be arranged. • Yes/No/Undecided • Colors • Names

  6. Ordinal • Data that can be ordered, but the difference between the orders is meaningless. • Ranks of NBA Players for PPG • Course Grades

  7. Interval • Data that can be ordered with the added property that the difference between two values is meaningful. But there is no zero or natural starting point. • Degrees Fahrenheit • Years

  8. Ratio • Data that can be ordered, subtracted, but also divided in a meaningful way, as well as having a natural zero starting point (or the concept of nothing.) • Number of eggs laid by a chicken • Price of a textbook • Heights of students

  9. Levels of Measurement

  10. Pop Quiz • Very little pop.

  11. Exit Ticket • Based on a study of heights of men and women who play basketball, a researcher concludes that the exercise from playing basketball causes people to grow taller. Can you think of an alternative conclusion to this?

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