Statistics with Maxima

Edwin (Ted) Woollett


Edwin (Ted) Woollett Maxima by Example Economic Analysis with Maxima Computational Physics with Maxima or R

Statistics with Maxima, Ch. 0, Probability

Chapter 0 Topics

  1. Probability in General
  2. Rules of Probability
  3. Conditional Probability Examples
  4. Empirical Probability
  5. Subjective Probability
  6. Bayes' Theorem in Particle Physics
  7. Bayes' Theorem in Epidemiology
  1. --Stat00-Probability.wxmx : A wxMaxima notebook on the concept and use of probability, May 24, 2024
  2. --Stat00-Probability.pdf : An approximate pdf translation of Stat00-Probability-fit.wxmx, an edited version created to allow
    "print to pdf" in Windows 10 to capture all the content; not perfect but is searchable using Ctrl-F,
    25 pages, May 24, 2024

Statistics with Maxima, Ch. 1, The Discrete Geometric (p) Distribution

Chapter 1 Topics

  1. Discrete Distributions Defined
  2. What Is a Discrete Random Variable?
  3. Mean and Variance of a Discrete Data Set
  4. The Discrete Geometric (p) Distribution
  5. pdf_geometric (k, p)
  6. cdf_geometric (k, p)
  7. geomCalc (k, p)
  8. mean_geometric (k, p)
  9. var_geometric (k, p)
  10. std_geometric (k, p)
  11. quantile_geometric (q, p)
  12. random_geometric (p), random_geometric (p, n)
  13. discrete_freq (data)
  14. Real Life Examples of Use of the Geometric Distribution
  1. --Stat01-Geometric.wxmx : A wxMaxima notebook on the Discrete Geometric (p) Distribution, April 1, 2024
  2. --Stat01-Geometric.pdf : An approximate pdf translation of Stat01-Geometric-fit.wxmx, an edited version created to allow
    "print to pdf" in Windows 10 to capture all the content; not perfect but is searchable using Ctrl-F,
    27 pages, April 1, 2024

Statistics with Maxima, Ch. 2, The Discrete Binomial (n, p) Distribution

Chapter 2 Topics

  1. Discrete Distributions Defined
  2. What Is a Discrete Random Variable?
  3. Mean and Variance of a Discrete Data Set
  4. The Discrete Binomial (n, p) Distribution
  5. pdf_binomial(x, n, p)
  6. mean_binomial (n, p)
  7. var_binomial (n, p)
  8. std_binomial (n, p)
  9. cdf_binomial (x, n, p)
  10. quantile_binomial (q, n, p)
  11. binomialCalc (x, n, p)
  12. confidence (q, m, s)
  13. Real Life Examples of Use of the Binomial Distribution
  14. Number of Missiles to Launch for Even Chance of Penetration of Defenses
  15. random_binomial (n, p), random_binomial (n, p, m)
  16. discrete_freq (data)
  1. --Stat02-Binomial.wxmx : A wxMaxima notebook on the Discrete Binomial(n, p) Distribution, April 10, 2024
  2. --Stat02-Binomial.pdf : An approximate pdf translation of Stat02-Binomial-fit.wxmx, an edited version created to allow "print to pdf" in Windows 10 to capture all the content; not perfect but is searchable using Ctrl-F, 44 pages, April 10, 2024

Statistics with Maxima, Ch. 3, The Discrete Poisson (λ) Distribution

Chapter 3 Topics

  1. Discrete Distributions Defined
  2. What Is a Discrete Random Variable?
  3. Mean and Variance of a Discrete Data Set
  4. The Discrete Poisson (λ) Distribution
  5. pdf_poisson (n, λ), mean_poisson (λ)
  6. std_poisson(λ), cdf_poisson (n, λ)
  7. quantile_poisson (q, λ)
  8. poissonCalc (n, λ)
  9. random_poisson (λ), random_poisson (λ, n)
  10. discrete_freq (data)
  11. Real Life Examples of Use of the Poisson Distribution
  1. --Stat03-Poisson.wxmx : A wxMaxima notebook on the Discrete Poisson (λ) Distribution, April 19, 2024
  2. --Stat03-Poisson.pdf : An approximate pdf translation of Stat03-Poisson-fit.wxmx, an edited version created to allow "print to pdf" in Windows 10 to capture all the content; not perfect but is searchable using Ctrl-F, 32 pages, April 19, 2024
Statistics with Maxima, Ch. 4, The Normal (Gaussian) Distribution

Updated June 14, 2024

Chapter 4 Topics

  1. The Normal (Gaussian) Distribution
  2. The 68%, 95%, 99.7% Rule
  3. mean (data), std (data), fracData (data, a, b)
  4. pdf_normal (x, μ, σ ), cdf_normal (x1, μ, σ )
  5. quantile_normal (q, μ, σ), confidence (q, m, s)
  6. mean_normal (m,s), var_normal (m,s), std_normal (m,s)
  7. random_normal (m, s), random_normal (m, s, n)
  8. Real Life Examples of the Normal Distribution
  9. Statistical Significance of a Certain σ in Physics
  1. --Stat04-Normal.wxmx : A wxMaxima notebook on the Normal (μ, σ) Distribution, June 14, 2024
  2. --Stat04-Normal.pdf : An approximate pdf translation of Stat04-Normal-fit.wxmx, an edited version created to allow "print to pdf" in Windows 10 to capture all the content; not perfect but is searchable using Ctrl-F, 30 pages, June 14, 2024
Statistics with Maxima, Ch. 5, Error Analysis Introduction

Chapter 5 Topics

  1. Basic Concepts in Error Analysis
  2. Spring-loaded Projectile Launcher Experiment
  3. Precision and Accuracy Defined
  4. 20% of measurements incorrectly logged example
  5. Rules of Thumb for Precision
  6. Achieving Accurate Measurements
  7. Measurement Errors and the Central Limit Theorem
  8. Why Errors are Gaussian
  9. Expectation E(F) and Variance V(F) Defined
  10. Justification of the Central Limit Theorem
  1. --Uncertainties01.wxmx : A wxMaxima notebook with an introduction to error analysis concepts, June 3, 2024
  2. --Uncertainties01.pdf : An approximate pdf translation of Uncertainties01-fit.wxmx, an edited version created to allow "print to pdf" in Windows 10 to capture almost all the content; not perfect but is searchable using Ctrl-F, 20 pages, June 3, 2024