One-Son Policy Simulation

One-Son Policy Simulation
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2013-11-05 00:38
This example demonstrates the impact of the 'One-Son Policy' on a country's population. It involves core concepts of probability and statistics, simulating the policy effect by randomly generating the number of children in families. GeoGebra commands such as Random, DotPlot, and CountIf are used to analyze data through statistical charts. Suitable for high school and above students or teachers to understand the practical application of probability and statistics.

GeoGebra Commands & Parameters

  1. Random(0, 1) → A1
  2. DotPlot(data) → list1
  3. CountIf(x ≟ 1, data) → a
  4. CountIf(x ≟ B1, data) → C1
  5. CountIf(x ≟ B2, data) → C2
  6. CountIf(x ≟ B3, data) → C3
  7. CountIf(x ≟ B4, data) → C4
  8. CountIf(x ≟ B5, data) → C5
  9. CountIf(x ≟ B6, data) → C6
  10. CountIf(x ≟ B7, data) → C7
  11. CountIf(x ≟ B8, data) → C8
  12. CountIf(x ≟ B9, data) → C9
  13. CountIf(x ≟ B10, data) → C10
  14. CountIf(x ≟ B11, data) → C11
  15. CountIf(x ≟ B12, data) → C12
  16. CountIf(x ≟ B13, data) → C13
  17. CountIf(x ≟ B14, data) → C14
  18. CountIf(x ≟ B15, data) → C15
  19. TableText({list2, list3}, "c|_") → text2

AI Drawing Prompt Reference

Create a population statistics chart showing the impact of the 'One-Child Policy'. First, randomly generate the number of children in families, then use a dot plot to display the data distribution. Next, count the number of families with each possible number of children (0 to 15) and present these counts in a table.
The prompt above was compiled from the original drawing commands and is for reference only.