Dot Plot: How a Data Value Affects Statistics 1

Dot Plot: How a Data Value Affects Statistics 1
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2019-02-16 07:55
This interactive GeoGebra example demonstrates how changing a single data value in a dot plot influences key statistics such as the mean, median, and standard deviation. It visualizes frequency distribution and the concepts of central tendency (median) and dispersion (standard deviation). The construction uses the DotPlot command to create the dot plot, Random to generate data points, and Segment for auxiliary lines. Objects include multiple data points (A1–A20), a button (button1), and auxiliary points (A–J) along with functions (f, g, h, i). Users can interactively adjust a data value via sliders or buttons to see real-time updates in statistics. This is ideal for middle or high school statistics lessons, helping students grasp how outliers or data changes affect summary measures.

GeoGebra Commands & Parameters

  1. DotPlot(A1:A20) → l1
  2. Random(5, 15) → A2
  3. Random(5, 15) → A3
  4. Random(5, 15) → A4
  5. Random(5, 15) → A5
  6. Random(5, 15) → A6
  7. Random(5, 15) → A7
  8. Random(5, 15) → A8
  9. Random(5, 15) → A9
  10. Random(5, 15) → A10
  11. Random(5, 15) → A11
  12. Random(5, 15) → A12
  13. Random(5, 15) → A13
  14. Random(5, 15) → A14
  15. Random(5, 15) → A15
  16. Random(5, 15) → A16
  17. Random(5, 15) → A17
  18. Random(5, 15) → A18
  19. Random(5, 15) → A19
  20. Random(5, 15) → A20
  21. Segment(E, D) → f
  22. Segment(F, G) → g
  23. stdev(A1:A20) → b
  24. Segment(I, J) → h
  25. Segment(J, H) → i