Statistics for Economics, Accounting and Business Studies, 7th edition
Published by Pearson (February 6, 2017) © 2018
Michael Barrow
Switch content of the page by the Role togglethe content would be changed according to the role
Title overview
Guide your students through the fundamentals of Statistics and help them build up their skills for excellence with this essential guide to the field.
Statistics for Economics, Accounting, and Business Studies, 7th Edition is a reader-friendly introduction to the subject that will help your students develop their knowledge of Mathematics and Economics.
The book supports you as you guide your students through the fundamentals of the discipline, with updated content and recent examples using real-life data.
With a plethora of features and worked examples to support your students' understanding of the discipline, this must-read text will provide them with the resources to excel in their course.
Hallmark features of this title
Guide students through the fundamentals of the discipline with a range of practical applications.
- Boxes highlight interesting issues and common mistakes, breaking up the text and keeping students engaged.
- Real-life worked examples reinforce practical learning using up-to-date real data.
- A focus on computing in statistics using industry-based software illustrates how the use of spreadsheets can solve problems, helping students think like a statistician.
Offer students a textbook with a clear structure and seamlessly woven pedagogical features.
- Chapter introductions set the scene and link the chapters together.
- Learning outcomes highlight the learning objectives of the chapter.
- Problems at the end of the chapter range in difficulty, providing a more in-depth practice of topics.
New and updated features of this title
- New section in Chapter 1 examines how to write statistical reports.
- A demonstration of good and bad graphs, and how to improve them.
- Illustrations of graphing regression coefficients as a means of presentation.
- Expanded content in Chapter 2 makes exposition of probability clearer.
- Extended discussion and critique of hypothesis testing.
Key features
Features of Pearson eText for the 7th Edition
Guide your students through the fundamentals of Statistics and help them build up their skills for excellence with this essential guide to the field.
Statistics for Economics, Accounting, and Business Studies, 7th Edition is a reader-friendly introduction to the subject that will help your students develop their knowledge of Mathematics and Economics.
Extend learning beyond the classroom with Pearson eText – an easy-to-use digital textbook.
Optimise study time
- Find it fast. Enhanced search makes it easy to find a key term or topic to study. Students can also search videos, images, and their own notes.
- Get organised and get results. Students can customise how they study and add their own notes, bookmarks, and highlights directly in their eText.
- Study in a flash. Students can use pre-built flashcards or create their own to study how they like.
Meet students where they are
- Read online or offline. With the mobile app, you and your students can access your eText anytime, even offline.
- Listen anywhere. Learners can listen to the audio version of their eText for most titles, whether at home or on the go.
- Watch and learn. Videos and animations within the eText bring tricky concepts to life (available in selected titles).
Table of contents
Preface to the fourth edition
Introduction
-
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: S notation
- Problems on S notation
- Appendix 1B: E and V operators
- Appendix 1C: Using logarithms
- Problems on logarithms
- References
-
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
-
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
-
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
-
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
-
The c2 and F distributions
- Learning outcomes
- Introduction
- The c2 distribution
- The F distribution
- Analysis of variance
- Chapter summary
- Key terms and concepts
- Problems
- Answers to Exercises
- Appendix: Use of c2 and F distribution tables
-
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
-
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
-
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
-
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
-
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
Author bios
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
Loading...Loading...Loading...