# Statistics for Economics, Accounting and Business Studies Zoom
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

Product Price CHF Available
9781292118703
Statistics for Economics, Accounting and Business Studies
78.60 approx. 7-9 days

### 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.

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

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

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

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

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

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

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

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

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

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

An alternative method for finding the trend

Forecasting

Further issues

Chapter summary

Key terms and concepts

Problems

List of important formulae

Appendix: Tables

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