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House Painter Cost Estimation Analysis

House Painter Cost Estimation Analysis
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2014-05-31 02:10
FunctionCoordinate GeometryProbability & StatisticsGraphing
In collections UCSS Secondary Math I Unit 4 Lesson 1
This example demonstrates how to use GeoGebra for statistical analysis of house painter cost estimates, including sorting, dot plots, and box plots. Core math concepts involve mean, median, quartiles, and probability & statistics. Construction highlights include commands like Sort, DotPlot, Median, Q1, Q3, BoxPlot, and objects such as ListMed, ListQ1, ListQ3. Suitable for high school students learning probability & statistics and data analysis.

GeoGebra Commands & Parameters

  1. Sort(EstimateList) → SortedList
  2. DotPlot(SortedList) → DotPlot
  3. Median(EstimateList) → ListMed
  4. Q1(EstimateList) → ListQ1
  5. Q3(EstimateList) → ListQ3
  6. BoxPlot(4, 1, EstimateList) → ListBox
  7. Segment((ListMed, 0), (ListMed, 2.5)) → SegMed
  8. Segment((ListQ1, 0), (ListQ1, 2.5)) → SegQ1
  9. Segment((ListQ3, 0), (ListQ3, 2.5)) → SegQ3
  10. Segment((UpperLim, 0), (UpperLim, 2.5)) → SegUpper
  11. Segment((LowerLim, 0), (LowerLim, 2.5)) → SegLower
  12. Textfield(A1) → InA1
  13. Textfield(A2) → InA2
  14. Textfield(A3) → InA3
  15. Textfield(A4) → InA4
  16. Textfield(A5) → InA5
  17. Textfield(A6) → InA6
  18. Textfield(A7) → InA7
  19. Textfield(A8) → InA8
  20. Textfield(A9) → InA9
  21. Textfield(A10) → InA10
  22. Textfield(A11) → InA11
  23. Element(SortedList, C1) → B1
  24. Element(SortedList, C2) → B2
  25. Element(SortedList, C3) → B3
  26. Element(SortedList, C4) → B4
  27. Element(SortedList, C5) → B5
  28. Element(SortedList, C6) → B6
  29. Element(SortedList, C7) → B7
  30. Element(SortedList, C8) → B8
  31. Element(SortedList, C9) → B9
  32. Element(SortedList, C10) → B10
  33. Element(SortedList, C11) → B11
  34. RemoveUndefined(Sequence[If[Element[SortedList, i] < LowerLim, Element[SortedList, i]], i, 1, 20]) → LowOut
  35. RemoveUndefined(Sequence[If[Element[SortedList, i] > UpperLim, Element[SortedList, i]], i, 1, 20]) → HighOut
  36. Join({LowOut, HighOut}) → Outliers
  37. Polygon((3200, y(Corner[1])), Corner[2], Corner[3], (3200, y(Corner[4]))) → Mask, a, b, g, h
  38. Mean(SortedList) → ListMean
  39. Length(EstimateList) → ListLength
  40. RemoveUndefined(Sequence[If[(Element[SortedList, i] > LowerLim) ∧ (Element[SortedList, i] < UpperLim), Element[SortedList, i]], i, 1, ListLength]) → GoodList
  41. Length(GoodList) → GoodLength
  42. Mean(GoodList) → GoodMean
  43. Element(SortedList, 1) → ListLow
  44. Element(SortedList, ListLength) → ListHigh
  45. Element(GoodList, 1) → GoodLow
  46. Element(GoodList, GoodLength) → GoodHigh
  47. Polygon(A, B, C, D) → poly1, a_1, b_1, c, d
  48. Polygon(E, F, G, H) → poly2, e, f, g_1, h_1
  49. Polygon(I, J, K, L) → poly3, i, j, k, l

AI Drawing Prompt Reference

Create a statistical analysis chart for house painter cost estimates. Start by plotting a dot chart for all estimate values, then add horizontal line segments for the median, first quartile, and third quartile. Next, draw a box plot with the box covering the quartile range and a line inside for the median. Mark outliers as points outside the box. Finally, label key statistics like mean, max, and min values below the chart.
The prompt above was compiled from the original drawing commands and is for reference only.