Skip to main content
main-content

Über dieses Buch

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital.

The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.

Inhaltsverzeichnis

Frontmatter

Descriptive Statistics

Frontmatter

Chapter 1. Introduction and Framework

Statistics is a collection of methods which help us to describe, summarize, interpret, and analyse data. Drawing conclusions from data is vital in research, administration, and business.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 2. Frequency Measures and Graphical Representation of Data

In Chap. 1, we highlighted that different variables contain different levels of information.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 3. Measures of Central Tendency and Dispersion

A data set may contain many variables and observations. However, we are not always interested in each of the measured values but rather in a summary which interprets the data.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 4. Association of Two Variables

InAssociation Chaps. 2 and 3 we discussed how to analyse a single variable using graphs and summary statistics.

Christian Heumann, Michael Schomaker, Shalabh

Probability Calculus

Frontmatter

Chapter 5. Combinatorics

CombinatoricsCombinatorics is a special branch of mathematics. It has many applications not only in several interesting fields such as enumerative combinatorics (the classical application), but also in other fields, for example in graph theory and optimization.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 6. Elements of Probability Theory

Let us first consider some simple examples to understand the need for probability theory.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 7. Random Variables

In the first part of the book, we highlighted how to describe data.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 8. Probability Distributions

We introduced the concept of probability density and probability mass functions of random variables in the previous chapter.

Christian Heumann, Michael Schomaker, Shalabh

Inductive Statistics

Frontmatter

Chapter 9. Inference

The first four chapters of this book illustrated how one can summarize a data set both numerically and graphically.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 10. Hypothesis Testing

We introduced point and interval estimation of parameters in the previous chapter.

Christian Heumann, Michael Schomaker, Shalabh

Chapter 11. Linear Regression

We learnt about various measures of association in Chap. 4.

Christian Heumann, Michael Schomaker, Shalabh

Backmatter

Weitere Informationen

Premium Partner

Neuer Inhalt

BranchenIndex Online

Die B2B-Firmensuche für Industrie und Wirtschaft: Kostenfrei in Firmenprofilen nach Lieferanten, Herstellern, Dienstleistern und Händlern recherchieren.

Whitepaper

- ANZEIGE -

Best Practices für die Mitarbeiter-Partizipation in der Produktentwicklung

Unternehmen haben das Innovationspotenzial der eigenen Mitarbeiter auch außerhalb der F&E-Abteilung erkannt. Viele Initiativen zur Partizipation scheitern in der Praxis jedoch häufig. Lesen Sie hier  - basierend auf einer qualitativ-explorativen Expertenstudie - mehr über die wesentlichen Problemfelder der mitarbeiterzentrierten Produktentwicklung und profitieren Sie von konkreten Handlungsempfehlungen aus der Praxis.
Jetzt gratis downloaden!

Bildnachweise