Singpurwalla Darius. A Handbook of Statistics. An Overview of Statistical Methods

Bookboon, 2013. — 79 p. — ISBN: 978-87-403-0542-5.A Handbook for Statistics provides readers with an overview of common statistical methods used in a wide variety of disciplines. The book focuses on giving the intuition behind the methods as well as how to execute methods using Microsoft Excel. Handbook for Statistics is divided into five main sections. The first section discusses why we study statistics and how we apply statistics to solve problems. The second section covers descriptive statistics which covers different ways to describe large data sets. Section three covers probability and probability distributions. Section four gives an overview of inference. Finally section five covers correlation and simple linear regression.This book was written for individuals interested in learning about the practice of statistics without needing to understand the theoretical foundations of the field. The book’s serves as a handbook of sorts on techniques often used in fields such as business, demography, and health.
The book is divided into five main sections:Descriptive statistics
Probability
Statistical inference
Regression and correlation
The first section consists of one chapter that covers the motivation for studying statistics and some basic definitions used throughout the course. Sections two through four are further divided into chapters covering a specific concept or technique in support of the main section. For instance, the descriptive statistics section is broken down into two sections, one focusing on graphical techniques used to summarize data and the other focusing on numerical summaries of data sets. The techniques introduced in these sections will be illustrated using real world examples. Readers can practice the techniques demonstrated in the chapters with practice problems that are included within the chapters. The primary software package used to carry out the techniques introduced in this book is Microsoft Excel.Statistics and Statistical Thinking
Descriptive Statistics
Inferential Statistics
Types of Data
Chapter 1 Problems
Collecting Data & Survey Design
Sampling Methods
Chapter 2 Exercises
Describing Data Sets
Summarizing Qualitative Data
Graphical Techniques for Describing Data
Measures of Central Tendency
Measures of Variability
Combining the Mean and the Standard Deviation
Chapter 3 Exercises
Probability
Union & Intersection of Events
The Additive Rule of Probability
Conditional Probability
Multiplicative Rule of Probability
Chapter 4 Problems
Random Variables and Probability Distributions
The Binomial Distribution
The Normal Distribution
Chapter 5 Problems
The Sampling Distribution
The Sampling Distribution off x
Confidence Intervals
Small Sample Confidence Intervals
Chapter 7 Problems
Hypothesis Testing
The Null and Alternative Hypothesis
One or Two Sided Hypothesis
Chapter 8 Problems
Correlation and Regression
Scatterplots
Correlation
Simple Linear Regression
Chapter 9 Problems