Statistics Crash Course

By IntroBooks Team

A crash course in statistics delves into key statistical methods,
namely Chi Square, t-test, ANOVA and descriptive statistics. It
equally gives an overview of statistical methods as well as
various discussions of the statistical tests relating to various
database culled from various sources, like the survey of student
spending on textbooks, etc. Also, detailed demonstration of
various data analysis in SPSS was considered via statistical test.
Descriptive statistics, being an outstanding aspect of this broad
field, was considered in detail, as well as the field of
nonparametric statistics. Furthermore, this text will look into the
One-Way and the Two-Way statistics.
Parametric and nonparametric statistics is a very important
aspect of the subject matter, thereby necessitating their mention
in this text. Mention will be made of their theories and practical
aspect towards enlightening the reader about how each of them
is applied in real-life situations. Also, the reader will get
enlightened on how each of these statistical methods differs.
Aside from the basic concepts of probability that will be
discussed in this text, mentioned will equally be made of
Conditional probability, probability description, and discreet
random variables. Besides, the relationship between probability
distribution and continuous random variables will be mentioned.
Additionally, the text will discuss the central limit theorem as
well as the sampling distribution of the Sample Mean.
As much as possible, this write-up will only focus on the basics
and foundational aspects of the field of statistics since the
purpose is focused mainly on building a foundation on the
subject matter.

• Language: English
• Publisher: IntroBooks
• Release date: Nov 28, 2019
• ISBN: 9781393155775

Book preview

Statistics

Crash Course

IntroBooks #395

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Copyright © 2017 IntroBooks

All rights reserved.

PREFACE

A crash course in statistics delves into key statistical methods, namely Chi Square, t-test, ANOVA and descriptive statistics. It equally gives an overview of statistical methods as well as various discussions of the statistical tests relating to various database culled from various sources, like the survey of student spending on textbooks, etc. Also, detailed demonstration of various data analysis in SPSS was considered via statistical test. Descriptive statistics, being an outstanding aspect of this broad field, was considered in detail, as well as the field of nonparametric statistics. Furthermore, this text will look into the One-Way and the Two-Way statistics.

Parametric and nonparametric statistics is a very important aspect of the subject matter, thereby necessitating their mention in this text. Mention will be made of their theories and practical aspect towards enlightening the reader about how each of them is applied in real-life situations. Also, the reader will get enlightened on how each of these statistical methods differs.

Aside from the basic concepts of probability that will be discussed in this text, mentioned will equally be made of Conditional probability, probability description, and discreet random variables. Besides, the relationship between probability distribution and continuous random variables will be mentioned. Additionally, the text will discuss the central limit theorem as well as the sampling distribution of the Sample Mean.

As much as possible, this write-up will only focus on the basics and foundational aspects of the field of statistics since the purpose is focused mainly on building a foundation on the subject matter.

INTRODUCTION

In the short run, it is somewhat difficult to predict chance behaviors. However, probability, or chance behavior, shows a predictable pattern when considered in the long run. Also, the random phenomenon relating to the probability of a particular outcome is proportional to the number of times such