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Resistance to Outliers Demo

Resistance to Outliers Demo
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2017-09-01 20:41
Probability & StatisticsOptimizationParametric EquationGraphing
In collections AP Statistics
This example demonstrates how box plots and comparisons of mean vs median visually illustrate a dataset's resistance to outliers. Key math concepts include mean, median, quartiles, box plots, outliers, and data dispersion. GeoGebra commands used are Point, Sequence, DotPlot, Mean, SampleSD, Median, Q1, Q3, BoxPlot. Suitable for high school statistics and probability courses to understand data distribution and outlier effects.

GeoGebra Commands & Parameters

  1. Point(Segment[(-5, 1), (20, 1)]) → P
  2. Sequence(RandomBinomial[20, 0.35], a, 1, 20) → list1
  3. DotPlot(Append[list1, x(P)]) → list2
  4. Mean(Append[list1, x(P)]) → a
  5. SampleSD(Append[list1, x(P)]) → b
  6. Median(Append[list1, x(P)]) → d
  7. Q1(Append[list1, x(P)]) → e
  8. Q3(Append[list1, x(P)]) → f
  9. BoxPlot(11, 1, Append[list1, x(P)]) → c