Probability, Statistics and Other Frightening Stuff - Jones, Alan

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Résumé :

Volume II Table of Contents, 1 Introduction and Objectives, 1.1 Why write this book? Who might find it useful? Why Five Volumes? 1.1.1 Why write this series? Who might find it useful? 1.1.2 Why Five Volumes? 1.2 Features you'll find in this book and others in this series, 1.2.1 Chapter Context, 1.2.2 The Lighter Side (humour), 1.2.3 Quotations, 1.2.4 Definitions, 1.2.5 Discussions and Explanations with a Mathematical Slant for Formula-philes, 1.2.6 Discussions and Explanations without a Mathematical Slant for Formula -phobes, 1.2.7 Caveat Augur, 1.2.8 Worked Examples, 1.2.9 Useful Microsoft Excel Functions and Facilities, 1.2.10 References to Authoritative Sources, 1.2.11 Chapter Reviews, 1.3 Overview of Chapters in this Volume, 1.4 Elsewhere in the 'Working Guide to Estimating & Forecasting' Series, 1.4.1 Volume I: Principles, Process and Practice of Professional Number Juggling, 1.4.2 Volume II: Probability, Statistics and other Frightening Stuff, 1.4.3 Volume III: Best Fit Lines & Curves, and some Mathe-Magical Transformations, 1.4.4 Volume IV: Learning, Unlearning and Re-Learning Curves, 1.4.5 Volume V: Risk, Opportunity, Uncertainty and Other Random Models, 1.5 Final Thoughts and Musings on this Volume and Series, References, 2 Measures of Central Tendency: Means, Modes, Medians, 2.1 'S' is for Shivers, Statistics and Spin, 2.1.1 Cutting through the Mumbo-Jumbo: What is or are Statistics? 2.1.2 Are there any types of Statistics that are not 'Descriptive'? 2.1.3 Samples, Populations and the Dreaded Statistical Bias, 2.2 Measures of Central Tendency, 2.2.1 What do we mean by 'Mean'? 2.2.2 Can we take the Average of an Average? 2.3 Arithmetic Mean - The Simple Average, 2.3.1 Properties of Arithmetic Means: A Potentially Unachievable Value! 2.3.2 Properties of Arithmetic Means: An Unbiased Representative Value of the Whole, 2.3.3 Why would we not want to use the Arithmetic Mean? 2.3.4 Is an Arithmetic Mean useful where there is an upward or downward trend? 2.3.5 Average of Averages: Can we take the Arithmetic Mean of an Arithmetic Mean? 2.4 Geometric Mean, 2.4.1 Basic Rules and Properties of a Geometric Mean, 2.4.2 When might we want to use a Geometric Mean? 2.4.3 Finding a steady state rate of growth or decay with a Geometric Mean, 2.4.4 Using a Geometric Mean as a Cross-Driver Comparator, 2.4.5 Using a Geometric Mean with Certain Non-Linear Regressions, 2.4.6 Average of Averages: Can we take the Geometric Mean of a Geometric Mean? 2.5 Harmonic Mean, 2.5.1 Surely Estimators would never use the Harmonic Mean? 2.5.2 Cases where the Harmonic Mean and the Arithmetic Mean are both inappropriate, 2.5.3 Average of Averages: Can we take the Harmonic Mean of a Harmonic Mean?, 2.6 Quadratic Mean: Root Mean Square, 2.6.1 When would we ever use a Quadratic Mean? 2.7 Comparison of Arithmetic, Geometric, Harmonic and Quadratic Means, 2.8 Mode, 2.8.1 When would we use the Mode instead of the Arithmetic Mean? 2.8.2 What does it mean if we observe more than one Mode? 2.8.3 What if we have two modes that occur at adjacent values? 2.8.4 Approximating the Theoretical Mode when there is no Real Observable Mode! 2.9 Median, 2.9.1 Primary Use of the Median, 2.9.2 Finding the Median, 2.10 Choosing a Representative Value: The 5-Ms, 2.10.1 Some Properties of the 5-Ms, 2.11 Chapter Review, References, 3 Measures of Dispersion and Shape, 3.1 Measures of Dispersion or Scatter around a Central Value, 3.2 Minimum, Maximum and Range, 3.3 Absolute Deviations, 3.3.1 Mean or Average Absolute Deviation (AAD), 3.3.2 Median Absolute Deviation (MAD), 3.3.3 Is there a Mode Absolute Deviation? 3.3.4 When would we use an Absolute Deviation? 3.4 Variance and Standard Deviation, 3.4.1 Variance and Standard Deviation - Compensating for Small Samples, 3.4.2 Coefficient o...

Biographie:
Means, Modes and Medians, describing the differences, relevance and uses for each in the context of Estimating and the like....

Sommaire:
This practical guide to probability and statistics explains these concepts that underpin all professional estimating. Alan Jones considers what are called Measures of Central Tendency...