Dwellings Simulation: Normal Distribution & Probability Visualization
Loading the math board and drawing, please wait…
This example demonstrates a dwellings distribution simulation visualizing normal distribution shapes. Core math concepts involve normal distribution, probability statistics, quadratic functions, sine functions, and perimeter calculations. Construction utilizes GeoGebra commands like Sequence for data generation, Join for connecting objects, Shuffle for randomization, If for conditional logic, Sum for aggregation, and DotPlot for scatter plotting. Suitable for high school mathematics statistics and probability lessons or self-study exploration.
GeoGebra Commands & Parameters
Sequence(1, n, 1, 30) → oneSequence(2, n, 1, 8) → twoJoin({one, two, eight}) → list1Shuffle(list1) → list2If(B2 + C1 ≤ 10, B2 + C1, C1) → C2If(B3 + C2 ≤ 10, B3 + C2, C2) → C3If(B4 + C3 ≤ 10, B4 + C3, C3) → C4If(B5 + C4 ≤ 10, B5 + C4, C4) → C5If(B6 + C5 ≤ 10, B6 + C5, C5) → C6If(B7 + C6 ≤ 10, B7 + C6, C6) → C7If(B8 + C7 ≤ 10, B8 + C7, C7) → C8If(B9 + C8 ≤ 10, B9 + C8, C8) → C9If(B10 + C9 ≤ 10, B10 + C9, C9) → C10If(B11 + C10 ≤ 10, B11 + C10, C10) → C11If(B12 + C11 ≤ 10, B12 + C11, C11) → C12If(B13 + C12 ≤ 10, B13 + C12, C12) → C13If(B14 + C13 ≤ 10, B14 + C13, C13) → C14If(B15 + C14 ≤ 10, B15 + C14, C14) → C15If(B16 + C15 ≤ 10, B16 + C15, C15) → C16If(B17 + C16 ≤ 10, B17 + C16, C16) → C17If(B18 + C17 ≤ 10, B18 + C17, C17) → C18If(B19 + C18 ≤ 10, B19 + C18, C18) → C19If(B20 + C19 ≤ 10, B20 + C19, C19) → C20If(C2 ≟ C1, 0, If[C2 ≤ 10, 1, 0]) → D2If(C3 ≟ C2, 0, If[C3 ≤ 10, 1, 0]) → D3If(C4 ≟ C3, 0, If[C4 ≤ 10, 1, 0]) → D4If(C5 ≟ C4, 0, If[C5 ≤ 10, 1, 0]) → D5If(C6 ≟ C5, 0, If[C6 ≤ 10, 1, 0]) → D6If(C7 ≟ C6, 0, If[C7 ≤ 10, 1, 0]) → D7If(C8 ≟ C7, 0, If[C8 ≤ 10, 1, 0]) → D8If(C9 ≟ C8, 0, If[C9 ≤ 10, 1, 0]) → D9If(C10 ≟ C9, 0, If[C10 ≤ 10, 1, 0]) → D10If(C11 ≟ C10, 0, If[C11 ≤ 10, 1, 0]) → D11If(C12 ≟ C11, 0, If[C12 ≤ 10, 1, 0]) → D12If(C13 ≟ C12, 0, If[C13 ≤ 10, 1, 0]) → D13If(C14 ≟ C13, 0, If[C14 ≤ 10, 1, 0]) → D14If(C15 ≟ C14, 0, If[C15 ≤ 10, 1, 0]) → D15If(C16 ≟ C15, 0, If[C16 ≤ 10, 1, 0]) → D16If(C17 ≟ C16, 0, If[C17 ≤ 10, 1, 0]) → D17If(C18 ≟ C17, 0, If[C18 ≤ 10, 1, 0]) → D18If(C19 ≟ C18, 0, If[C19 ≤ 10, 1, 0]) → D19If(C20 ≟ C19, 0, If[C20 ≤ 10, 1, 0]) → D20If(B21 + C20 ≤ 10, B21 + C20, C20) → C21If(C21 ≟ C20, 0, If[C21 ≤ 10, 1, 0]) → D21If(B22 + C21 ≤ 10, B22 + C21, C21) → C22If(C22 ≟ C21, 0, If[C22 ≤ 10, 1, 0]) → D22If(B23 + C22 ≤ 10, B23 + C22, C22) → C23If(C23 ≟ C22, 0, If[C23 ≤ 10, 1, 0]) → D23If(B24 + C23 ≤ 10, B24 + C23, C23) → C24If(C24 ≟ C23, 0, If[C24 ≤ 10, 1, 0]) → D24If(B25 + C24 ≤ 10, B25 + C24, C24) → C25If(C25 ≟ C24, 0, If[C25 ≤ 10, 1, 0]) → D25If(B26 + C25 ≤ 10, B26 + C25, C25) → C26If(C26 ≟ C25, 0, If[C26 ≤ 10, 1, 0]) → D26If(B27 + C26 ≤ 10, B27 + C26, C26) → C27If(C27 ≟ C26, 0, If[C27 ≤ 10, 1, 0]) → D27If(B28 + C27 ≤ 10, B28 + C27, C27) → C28If(C28 ≟ C27, 0, If[C28 ≤ 10, 1, 0]) → D28If(B29 + C28 ≤ 10, B29 + C28, C28) → C29If(C29 ≟ C28, 0, If[C29 ≤ 10, 1, 0]) → D29If(B30 + C29 ≤ 10, B30 + C29, C29) → C30If(C30 ≟ C29, 0, If[C30 ≤ 10, 1, 0]) → D30If(B31 + C30 ≤ 10, B31 + C30, C30) → C31If(C31 ≟ C30, 0, If[C31 ≤ 10, 1, 0]) → D31If(B32 + C31 ≤ 10, B32 + C31, C31) → C32If(C32 ≟ C31, 0, If[C32 ≤ 10, 1, 0]) → D32If(B33 + C32 ≤ 10, B33 + C32, C32) → C33If(C33 ≟ C32, 0, If[C33 ≤ 10, 1, 0]) → D33If(B34 + C33 ≤ 10, B34 + C33, C33) → C34If(C34 ≟ C33, 0, If[C34 ≤ 10, 1, 0]) → D34If(B35 + C34 ≤ 10, B35 + C34, C34) → C35If(C35 ≟ C34, 0, If[C35 ≤ 10, 1, 0]) → D35If(B36 + C35 ≤ 10, B36 + C35, C35) → C36If(C36 ≟ C35, 0, If[C36 ≤ 10, 1, 0]) → D36If(B37 + C36 ≤ 10, B37 + C36, C36) → C37If(C37 ≟ C36, 0, If[C37 ≤ 10, 1, 0]) → D37If(B38 + C37 ≤ 10, B38 + C37, C37) → C38If(C38 ≟ C37, 0, If[C38 ≤ 10, 1, 0]) → D38If(B39 + C38 ≤ 10, B39 + C38, C38) → C39If(C39 ≟ C38, 0, If[C39 ≤ 10, 1, 0]) → D39Sum(D1:D39) → E1DotPlot(data, false, 0.15) → list3
AI Drawing Prompt Reference
Create a visualization simulating dwelling distributions and showcasing normal distribution shapes. Generate two sets of data using sequences, merge and shuffle them, then apply a series of conditional logic and summation to create a scatter plot representing the distribution of dwellings. The color and size of the points should indicate different probability conditions, forming a pattern that reflects a normal distribution.
The prompt above was compiled from the original drawing commands and is for reference only.