Applied Metaphors: Learning TRIZ, Complexity, Data/Stats/ML using Metaphors
  1. Experiments
  • Teaching
    • Data Viz and Analytics
      • Tools
        • Introduction to R and RStudio
        • Introduction to Radiant
        • Introduction to Orange
      • Descriptive Analytics
        • Data
        • Graphs
        • Summaries
        • Counts
        • Quantities
        • Groups
        • Densities
        • Groups and Densities
        • Change
        • Proportions
        • Parts of a Whole
        • Evolution and Flow
        • Ratings and Rankings
        • Surveys
        • Time
        • Space
        • Networks
        • Experiments
        • Miscellaneous Graphing Tools, and References
      • Statistical Inference
        • 🧭 Basics of Statistical Inference
        • 🎲 Samples, Populations, Statistics and Inference
        • Basics of Randomization Tests
        • 🃏 Inference for a Single Mean
        • 🃏 Inference for Two Independent Means
        • 🃏 Inference for Comparing Two Paired Means
        • Comparing Multiple Means with ANOVA
        • Inference for Correlation
        • 🃏 Testing a Single Proportion
        • 🃏 Inference Test for Two Proportions
      • Inferential Modelling
        • Modelling with Linear Regression
        • Modelling with Logistic Regression
        • 🕔 Modelling and Predicting Time Series
      • Predictive Modelling
        • 🐉 Intro to Orange
        • ML - Regression
        • ML - Classification
        • ML - Clustering
      • Prescriptive Modelling
        • 📐 Intro to Linear Programming
        • 💭 The Simplex Method - Intuitively
        • 📅 The Simplex Method - In Excel
      • Workflow
        • Facing the Abyss
        • I Publish, therefore I Am
      • Using AI in Analytics
        • Case Studies
          • Demo:Product Packaging and Elderly People
          • Ikea Furniture
          • Movie Profits
          • Gender at the Work Place
          • Heptathlon
          • School Scores
          • Children's Games
          • Valentine’s Day Spending
          • Women Live Longer?
          • Hearing Loss in Children
          • California Transit Payments
          • Seaweed Nutrients
          • Coffee Flavours
          • Legionnaire’s Disease in the USA
          • Antarctic Sea ice
          • William Farr's Observations on Cholera in London
      • TRIZ for Problem Solvers
        • I am Water
        • I am What I yam
        • Birds of Different Feathers
        • I Connect therefore I am
        • I Think, Therefore I am
        • The Art of Parallel Thinking
        • A Year of Metaphoric Thinking
        • TRIZ - Problems and Contradictions
        • TRIZ - The Unreasonable Effectiveness of Available Resources
        • TRIZ - The Ideal Final Result
        • TRIZ - A Contradictory Language
        • TRIZ - The Contradiction Matrix Workflow
        • TRIZ - The Laws of Evolution
        • TRIZ - Substance Field Analysis, and ARIZ
      • Math Models for Creative Coders
        • Maths Basics
          • Vectors
          • Matrix Algebra Whirlwind Tour
          • content/courses/MathModelsDesign/Modules/05-Maths/70-MultiDimensionGeometry/index.qmd
        • Tech
          • Tools and Installation
          • Adding Libraries to p5.js
          • Using Constructor Objects in p5.js
        • Geometry
          • Circles
          • Complex Numbers
          • Fractals
          • Affine Transformation Fractals
          • L-Systems
          • Kolams and Lusona
        • Media
          • Fourier Series
          • Additive Sound Synthesis
          • Making Noise Predictably
          • The Karplus-Strong Guitar Algorithm
        • AI
          • Working with Neural Nets
          • The Perceptron
          • The Multilayer Perceptron
          • MLPs and Backpropagation
          • Gradient Descent
        • Projects
          • Projects
      • Tech for Creative Education
        • 🧭 Using Idyll
        • 🧭 Using Apparatus
        • 🧭 Using g9.js
      • Literary Jukebox: In Short, the World
        • Italy - Dino Buzzati
        • France - Guy de Maupassant
        • Japan - Hisaye Yamamoto
        • Peru - Ventura Garcia Calderon
        • Russia - Maxim Gorky
        • Egypt - Alifa Rifaat
        • Brazil - Clarice Lispector
        • England - V S Pritchett
        • Russia - Ivan Bunin
        • Czechia - Milan Kundera
        • Sweden - Lars Gustaffsson
        • Canada - John Cheever
        • Ireland - William Trevor
        • USA - Raymond Carver
        • Italy - Primo Levi
        • India - Ruth Prawer Jhabvala
        • USA - Carson McCullers
        • Zimbabwe - Petina Gappah
        • India - Bharati Mukherjee
        • USA - Lucia Berlin
        • USA - Grace Paley
        • England - Angela Carter
        • USA - Kurt Vonnegut
        • Spain-Merce Rodoreda
        • Israel - Ruth Calderon
        • Israel - Etgar Keret
    • Posts
    • Blogs and Talks

    On this page

    • Free Hunch #1: I am an INTJ
    • Free Hunch #2: Let’s Go to ChefsTouch(?)
    • Free Hunch #3: I will eat my tip, thank you.
    • Free Hunch #3. Art, Design, and Vocation are all diff-different.
    • References

    Experiments

    No Free Hunch: A small Set of Economics and Stats Experiments for Peasants

    Hunches
    Experiments
    Published

    May 24, 2024

    Modified

    June 1, 2024

    Free Hunch #1: I am an INTJ

    Important Srishti kids are predominantly introverted

    What are we looking at, data-wise? A proportion, which if more than 50% would justify our hunch. So we do an MBTI on some unsuspecting sample of people, and try to generalize that result to the population

    Free Hunch #2: Let’s Go to ChefsTouch(?)

    Important Most people think the food in the cafeteria is ordinary.

    Again, a survey of a sample. Opinions, yes or no. A Proportion for the sample, and an extension to the population. A proportion test.

    Free Hunch #3: I will eat my tip, thank you.

    Important The average tip people give is higher for people who are non-vegetarians. Regardless of whether you are going Dutch or not.

    Are vegetarians more kanjoos? Or it is the meat-eaters?

    So Swiggy/Zomato/Dining Out bills. For both sets of people. And then the t-t-t-t-t-test…

    Free Hunch #3. Art, Design, and Vocation are all diff-different.

    Important Grades are very different between B.Voc, B.Cra, and B.Des folks.

    So? Grades of course, for a good sample from all three groups of people..and then? ANOVA of course.

    References

    1. Facing the Abyss: How to Probe Unknown Data. https://shancarter.github.io/ucb-dataviz-fall-2013/classes/facing-the-abyss/
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