Explore 1.5M+ audiobooks & ebooks free for days

From $11.99/month after trial. Cancel anytime.

Introduction to Statistics
Introduction to Statistics
Introduction to Statistics
Ebook85 pages26 minutes

Introduction to Statistics

Rating: 0 out of 5 stars

()

Read preview

About this ebook

All mathematical topics related to statistics are presented in this book:
combinatorial calculus
probability and elementary statistics
random variables
continuous and discrete probability distributions
estimation theory and hypothesis testing
regression and Bayesian inference
stochastic processes

LanguageEnglish
PublisherSimone Malacrida
Release dateDec 23, 2022
ISBN9798215970317
Introduction to Statistics
Author

Simone Malacrida

Simone Malacrida (1977) Ha lavorato nel settore della ricerca (ottica e nanotecnologie) e, in seguito, in quello industriale-impiantistico, in particolare nel Power, nell'Oil&Gas e nelle infrastrutture. E' interessato a problematiche finanziarie ed energetiche. Ha pubblicato un primo ciclo di 21 libri principali (10 divulgativi e didattici e 11 romanzi) + 91 manuali didattici derivati. Un secondo ciclo, sempre di 21 libri, è in corso di elaborazione e sviluppo.

Read more from Simone Malacrida

Related to Introduction to Statistics

Related ebooks

Mathematics For You

View More

Reviews for Introduction to Statistics

Rating: 0 out of 5 stars
0 ratings

0 ratings0 reviews

What did you think?

Tap to rate

Review must be at least 10 words

    Book preview

    Introduction to Statistics - Simone Malacrida

    INTRODUCTION

    Statistics is now characterized as a discipline in its own right with respect to mathematics, even though its foundations are in the latter.

    The expansion of statistical applications is now evident to everyone: statistical concepts are present in every scientific and technological field, in economics and politics, in sociology and in the human sciences.

    The first two chapters of this book summarize the basic concepts, already understandable at the high school level.

    Combinatorial calculus and the concept of probability are the first fundamentals of statistics.

    Subsequently, the great leap forward given by the definitions of random variables and their distributions or laws of probability is presented.

    Through the study of these distributions it is possible to study the characteristics of many relevant aspects at the application level.

    Estimation theory, statistical inference and hypothesis testing are the main fields in which statistics play a predominant role.

    Finally, we must not forget the statistical processes, i.e. those models that can be taken as a reference to compare practical cases.

    It goes without saying that such knowledge requires in-depth mathematical preparation at university level.

    I

    COMBINATORY CALCULATION

    Definitions

    ––––––––

    Combinatorial calculus is the branch of mathematics that studies the possible configurations for grouping the elements of a finite set.

    To do this it is necessary to introduce some operations that we are now going to expose.

    We define the factorial operation of any positive integer as the multiplication of the first n positive integers less than or equal to that number.

    The factorial symbol is given by an exclamation point following the number itself.

    In formulas we have:

    By definition 0!=1 and therefore the factorial operation is also computed recursively:

    The binomial coefficient between two integers (positive and negative) is given by :

    The properties of the binomial coefficient are given by:

    The penultimate property generalizes the construction of the binomial coefficients according to the Tartaglia triangle.

    The last property is used instead to define the binomial theorem, also called Newton's formula or Newton's binomial or binomial expansion which expresses the expansion in the n-th power of any binomial:

    ––––––––

    Operations

    ––––––––

    A simple permutation (or without repetitions) is an ordered sequence of the elements of a set in which

    Enjoying the preview?
    Page 1 of 1