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Understanding and Calculating the Odds - Probability Theory Basics and Calculus Guide for Beginners, with Applications in Games of Chance and Everyday Life (Paperback)
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Understanding and Calculating the Odds - Probability Theory Basics and Calculus Guide for Beginners, with Applications in Games of Chance and Everyday Life (Paperback)
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Man's daily life is full of decisional situations. Whether we have
math skills or not, we frequently estimate and compare
probabilities, sometimes without realizing it, especially when
making decisions. But probabilities are not just simple numbers
attached objectively or subjectively to events, as they perhaps
look, and their calculus and usage is highly predisposed to
qualitative or quantitative errors in the absence of proper
knowledge. That is why a book explaining the probability concept
and its interpretations and applications for non-mathematicians is
a necessity. This is an enlightening journey through the world of
probability theory. Its multiple goals are to help the reader
understand what probability really means, to teach the reader how
to rigorously perform and apply the probability calculus, even
without a solid mathematical background, and to stimulate the
reader to go deeper into the notions involved. In the first part,
the author tries to build a clear image of the probability concept
by reconstructing its mathematical definition step by step through
its constituent notions. It starts with a general presentation of
the conceptual ensemble word - definition - notion - model any
theory is based on when trying to reproduce reality. Then, the
probability notion is defined and explained starting from the
classical definition to the definition for the countable case; then
probability is presented as a limit and as a measure. This book
presents not only the mathematical concept of probability, but also
its philosophical aspects, the relativity of probability and its
applications and even the psychology of probability. All
explanations are made in a comprehensible manner and are supported
with suggestive examples from nature and daily life and even with
challenging math paradoxes. After these points are laid out the
math chapter follows. It contains all the notions and principal
theoretical results that ground Probability Theory, starting with
fundamental notions like Sets, Functions, Boole algebras, and
Sequences, and continuing with Measure Theory Basics - Tribes,
Borel sets, Measurable spaces, and Measure, ending with Field of
events, Sigma-fields, Probability, Conditional probability,
Discrete random variables, Classical probability distributions, and
Convergence. And, of course, it includes all important theorems and
results dealing with them. A special section is dedicated to
Combinatorics and combinatorial calculus. Readers with no minimal
mathematical background may choose to skip this chapter because the
teaching material is structured for developing probability calculus
skills based on algorithmic procedures. This is the subject of the
chapter titled Beginners' Calculus Guide, in which the reader is
taught to apply the properties of probability and to perform
calculations in practical applications. The skills acquired here
can be practiced on the more than 200 solved and unsolved problems
and exercises in the book. Everyone should find something of
interest here: philosophers and mathematicians may focus on the
sections on philosophical matters of the probability model and
decisional matters, students and non-mathematicians can find solid
A to Z teaching material about Probability Theory and the practical
person can find all the tools needed to apply and perform
probability calculus without a teacher.
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