Statistics for Economics, Accounting and Business Studies

Series
Pearson
Author
Michael Barrow  
Publisher
Pearson
Cover
Softcover
Edition
7
Language
English
Total pages
504
Pub.-date
February 2017
ISBN13
9781292118703
ISBN
1292118709
Related Titles


Product detail

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9781292118703
Statistics for Economics, Accounting and Business Studies
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Description

This text is for students taking a first year Statistics for Economics module, and supports students by providing clear explanations of statistical tools and techniques and demonstrating how to apply them in wider business practice.

Features

  • Boxes highlight interesting issues and common mistakes, breaking up the text and keeping students engaged.
  • Real-life practical worked examples throughout the text ensure constant self testing and reinforce learning.
  • A focus on the use of computing in statistics using industry based software helps to illustrate how spreadsheets can be used to solve problems, giving students a true feeling of how a statistician applies their knowledge.

New to this Edition

·    Re-written Chapter 2 to make exposition of probability clearer.

·    Added coverage of presentation of regression results to Chapter 8.

·    Added coverage about presentation of graphs in Chapter 1.

·    More business examples. 

Table of Contents

Preface to the fourth edition

Introduction

 

1 Descriptive statistics

Learning outcomes   

Introduction  

Summarising data using graphical techniques  

Looking at cross-section data: wealth in the UK in 2005   

Summarising data using numerical techniques

The box and whiskers diagram  

Time-series data: investment expenditures 1977–2009   

Graphing bivariate data: the scatter diagram   

Data transformations

The information and data explosion

Writing statistical reports  

Guidance to the student: how to measure your progress

Chapter summary  

Key terms and concepts

Problems

Answers to Exercises

Appendix 1A:  notation   

Problems on  notation  

Appendix 1B: E and V operators   

Appendix 1C: Using logarithms  

Problems on logarithms  

References  

 

2 Probability   

Learning outcomes

Probability theory and statistical inference   

The definition of probability

Probability theory: the building blocks  

Bayes’ theorem   

Decision analysis 

Chapter summary  

Key terms and concepts

Problems  

Answers to Exercises

 

3 Probability distributions 

Learning outcomes   

Introduction   

Random variables  

The Binomial distribution  

The Normal distribution  

The distribution of the sample mean

The relationship between the Binomial and Normal distributions  

The Poisson distribution  

Chapter summary

Key terms and concepts   

Problems  

Answers to Exercises

 

4 Estimation and confidence intervals

Learning outcomes

Introduction   

Point and interval estimation   

Rules and criteria for finding estimates   

Estimation with large samples

Precisely what is a confidence interval?

Estimation with small samples: the t distribution   

Chapter summary  

Key terms and concepts

Problems  

Answers to Exercises

Appendix: Derivations of sampling distributions  

 

5 Hypothesis testing   

Learning outcomes

Introduction   

The concepts of hypothesis testing

The Prob-value approach  

Significance, effect size and power

Further hypothesis tests

Hypothesis tests with small samples   

Are the test procedures valid?  

Hypothesis tests and confidence intervals   

Independent and dependent samples   

Issues with hypothesis testing

Chapter summary  

Key terms and concepts  

Problems  

Answers to Exercises

 

6 The 2 and F distributions  

Learning outcomes

Introduction

The 2 distribution  

The F distribution   

Analysis of variance

Chapter summary

Key terms and concepts  

Problems   

Answers to Exercises

Appendix: Use of 2 and F distribution tables   

7 Correlation and regression

Learning outcomes

Introduction

What determines the birth rate in developing countries?   

Correlation  

Regression analysis

Inference in the regression model  

Chapter summary  

Key terms and concepts

Problems   

Answers to Exercises

References  

 

8 Multiple regression

Learning outcomes

Introduction

Principles of multiple regression  

What determines imports into the UK?

Finding the right model   

Chapter summary  

Key terms and concepts

Problems  

Answers to Exercises

References  

 

9 Data collection and sampling methods   

Learning outcomes  

Introduction

Using secondary data sources  

Collecting primary data

Random sampling

Calculating the required sample size   

Collecting the sample   

Case study: the UK Living Costs and Food Survey

Chapter summary  

Key terms and concepts

Problems  

References  

 

10 Index numbers   

Learning outcomes

Introduction

A simple index number  

A price index with more than one commodity  

Using expenditures as weights   

Quantity and expenditure indices

The Consumer Price Index   

Discounting and present values

Inequality indices

The Lorenz curve   

The Gini coefficient   

Concentration ratios  

Chapter summary

Key terms and concepts  

Problems   

Answers to Exercises

Appendix: deriving the expenditure share form of the 

Laspeyres price index

References  

 

11 Seasonal adjustment of time series data

Learning outcomes  

Introduction   

The components of a time series

Isolating the trend

Isolating seasonal factors

Seasonal adjustment

An alternative method for finding the trend

Forecasting

Further issues

Chapter summary

Key terms and concepts

Problems

Answers to Exercises

 

List of important formulae

Appendix: Tables

Answers to problems

Index

Back Cover

Statistics for Economics, Accounting and Business Studies

Seventh Edition

Michael Barrow

 

“This is the best available text … for a first-year statistics course in economics” Emiliya Lazarova, University of East Anglia

 

Do you need to brush up on your statistical skills to truly excel in your economics or business course? If you want to increase your confidence in statistics then this is the perfect book for you. Statistics for Economics, Accounting and Business Studies presents a user-friendly and concise introduction to a variety of statistical tools and techniques which can be used to solve real-life problems.

 

New features:

·    New section on how to write statistical reports

·    Examples of good and bad graphs, and how to improve them

·    Illustration of graphing regression coefficients as a means of presentation

·    Probablity chapter expanded to improve exposition

·    More discussion and critique of hypothesis testing

 

Michael Barrow is a Senior Lecturer in Economics at the University of Sussex. He has acted as a consultant for major, industrial, commercial and government bodies

Author

Michael Barrow is a Senior Lecturer in Economics at the University of Sussex. He has acted as a consultant for major, industrial, commercial and government bodies