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Statistics: Cumulative Histograms of S&P 500 Stock Data

Statistics: Cumulative Histograms of S&P 500 Stock Data
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2015-08-07 06:45
Coordinate GeometryProbability & StatisticsGraphing
This example demonstrates cumulative histograms of S&P 500 stock data, involving key statistical concepts. Using GeoGebra commands such as Min, Max, Mean, Variance, etc., it provides a clear analysis of data distribution. Suitable for high school students and researchers.

GeoGebra Commands & Parameters

  1. Min(listClose) → closeMin
  2. Max(listClose) → closeMax
  3. Mean(listClose) → closeMean
  4. Variance(listClose) → closeVariance
  5. Point(xAxis) → A
  6. Point(xAxis) → B
  7. Length(B2:B250) → closeCount
  8. Length(G2:G30) → closeClassesCount
  9. Min(listDelta) → deltaMin
  10. Max(listDelta) → deltaMax
  11. Mean(listDelta) → deltaMean
  12. SD(listDelta) → deltaStdDev
  13. Length(D3:D250) → deltaCount
  14. Length(deltaClassBoundaries) → deltaClassesCount
  15. Histogram(true, deltaClassBoundaries, listDelta, true, 4 / deltaCount) → deltaHisto
  16. Point(xAxis) → C
  17. Point(xAxis) → D
  18. Histogram(true, closeClassBoundaries, listClose, true, 10 / closeCount) → closeHisto