Basic Statistics with TI 83/84 Calculator

Basic Statistics with TI 83/84 Calculator
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2015-08-14 02:37
This example demonstrates how to use the TI 83/84 calculator to calculate basic statistics such as mean, median, quartiles, and standard deviation. By understanding the GeoGebra commands in the construction summary, one can learn how to process data and perform statistical analysis. Suitable for high school math and statistics courses.

GeoGebra Commands & Parameters

  1. Element(RtSq, Mod[Seed, 8] + 1) → Rate
  2. Sequence(Mod[Strt + (Rate * k), 23] + 1, k, 0, 22, 1) → OpSq
  3. Element(DSSq, DataSet) → DS0
  4. Element(AcSq, DataSet) → Ac1
  5. Sequence(Element[DS0, Element[OpSq, k]], k, 1, Size) → Smp
  6. Max(Smp) → SmpMx
  7. Min(Smp) → SmpMn
  8. Sequence(k, k, 1, 19) → StrSq
  9. Sequence(Element[Smp, k], k, LngRw1 + 1, Size) → SmpRw2
  10. Sequence(Element[Smp, k], k, 1, LngRw1) → SmpRw1
  11. Element(DDSq, DataSet) → DD0
  12. CountIf(x > 0, RtSq) → RtNo
  13. Segment(TbML, TbMR) → tbmd
  14. Segment(TbLL, TbLR) → tbbt
  15. Segment(TbUL, TbUR) → tbtp
  16. CountIf(x ≠ (0, 0), DS0) → DtCnt
  17. If(Mod[Size, 2] ≟ 1, Segment[TbMR, TbUR], Segment[TbLR, TbUR]) → tbrg
  18. Sort(Smp) → SmpOrd
  19. Sequence(k, k, 12, 18, 1) → SzSq
  20. Sequence(Segment[(TbLf + (TbCW * k), TbTp), (TbLf + (TbCW * k), TbBt)], k, 0, floor(Size / 2)) → TbVL
  21. Sequence((Element[Smp, k] - SmpAvg)^(2), k, 1, Size) → SmpDvSqSq
  22. Sum(Smp) → SmpSm
  23. Q1(Smp) → SmpQ1
  24. Q3(Smp) → SmpQ3
  25. Median(Smp) → SmpQ2
  26. If(Ac2 ≟ 1, ".", "s.") → PlTxt
  27. Mode(Smp) → SmpMod
  28. Sequence(TbTp - (1.1 * k), k, 0, 2) → TbLHSq
  29. If(SmpMn < 0, "(", "") → NgLfMn
  30. If(SmpMn < 0, ")", "") → NgRtMn
  31. If(SmpQ1 < 0, "(", "") → NgLfQ1
  32. If(SmpQ1 < 0, ")", "") → NgRtQ1
  33. Sequence(Text[Element[SmpRw2, k], (TbLf - 0.95 + (k * TbCW), TbTp - 0.4 - TbRH)], k, 1, LngRw2) → SmpRw2Tx
  34. Sequence(Text[Element[SmpRw1, k], (TbLf - 0.95 + (k * TbCW), TbTp - 0.4)], k, 1, LngRw1) → SmpRw1Tx

AI Drawing Prompt Reference

Create a statistical chart that includes the dataset and its statistical measures such as maximum, minimum, median, quartiles, mean, standard deviation, and mode. Start by creating the dataset, then calculate and mark the maximum, minimum, median, and quartiles, followed by the standard deviation and mode, and finally display these measures on the chart.
The prompt above was compiled from the original drawing commands and is for reference only.