Between Certainty & Uncertainty" is a one-of-a-kind short course on statistics for students, engineers and researchers. It is a fascinating introduction to statistics and probability with notes on historical origins and 80 illustrative numerical examples organized in the five units:- Chapter 1Descriptive Statistics: Compressing small samples, basic averages - mean and variance, their main properties including God's proof; linear transformations andz-scoredstatistics .- Chapter 2Grouped data: Udny Yule's concept of qualitative and quantitative variables. Grouping these two kinds of data. Graphical tools. Combinatorial rules and qualitative variables. Designing frequency histogram. Direct and coded evaluation of quantitative data. Significance of percentiles.- Chapter 3Regression and correlation: Geometrical distance and equivalent distances in two orthogonal directions as a prerequisite to the concept of two regression lines. Misleading in interpreting two regression lines. Derivation of the two regression lines. Was Hubble right? Houbolt's cloud. What in fact measures the correlation coefficient?- Chapter 4Binomial distribution: Middle ages origins of the binomials; figurate numbers and combinatorial rules. Pascal's Arithmetical Triangle. Bernoulli's or Poisson Trials? John Arbuthnot curing binomials. How Newton taught S. Pepys probability. Jacob Bernoulli's Weak Law of Large Numbers and others.- Chapter 5Normal distribution and binomial heritage- Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace.- Chapter 1Descriptive Statistics: Compressing small samples, basic averages - mean and variance, their main properties including God's proof; linear transformations andz-scoredstatistics .- Chapter 2Grouped data: Udny Yule's concept of qualitative and quantitative variables. Grouping these two kinds of data. Graphical tools. Combinatorial rules and qualitative variables. Designing frequency histogram. Direct and coded evaluation of quantitative data. Significance of percentiles.- Chapter 3Regression and correlation: Geometrical distance and equivalent distances in two orthogonal directions as a prerequisite to the concept of two regression lines. Misleading in interpreting two regression lines. Derivation of the two regression lines. Was Hubble right? Houbolt's cloud. What in fact measures the correlation coefficient?- Chapter 4Binomial distribution: Middle ages origins of the binomials; figurate numbers and combinatorial rules. Pascal's Arithmetical Triangle. Bernoulli's or Poisson Trials? John Arbuthnot curing binomials. How Newton taught S. Pepys probability. Jacob Bernoulli's Weak Law of Large Numbers and others.- Chapter 5Normal distribution and binomial heritage- Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace.- Chapter 5Normal distribution and binomial heritage- Tables of the normal distribution. Abraham de Moivre and the second theorem of de Moivre-Laplace. | Between Certainty and Uncertainty by Ludomir M. Laudaåski, Hardcover | Indigo Chapters