Guide your students through the fundamentals of Statistics and help them build up their skills for excellence. Statistics for Economics, Accounting, and Business Studies is an accessible introduction to the subject, featuring a plethora of features and recent examples that will offer your students the resources they need to excel in their course.

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 techniquesThe box and whiskers diagram Time-series data: investment expenditures 1977–2009 Graphing bivariate data: the scatter diagram Data transformationsThe information and data explosionWriting statistical reports Guidance to the student: how to measure your progressChapter summary Key terms and conceptsProblemsAnswers to ExercisesAppendix 1A: S notation Problems on S notation Appendix 1B: E and V operators Appendix 1C: Using logarithms Problems on logarithms References Probability Learning outcomesProbability theory and statistical inference The definition of probabilityProbability theory: the building blocks Bayes’ theorem Decision analysis Chapter summary Key terms and conceptsProblems Answers to Exercises Probability distributions Learning outcomes Introduction Random variables The Binomial distribution The Normal distribution The distribution of the sample meanThe relationship between the Binomial and Normal distributions The Poisson distribution Chapter summaryKey terms and concepts Problems Answers to Exercises Estimation and confidence intervals Learning outcomesIntroduction Point and interval estimation Rules and criteria for finding estimates Estimation with large samplesPrecisely what is a confidence interval?Estimation with small samples: the t distribution Chapter summary Key terms and conceptsProblems Answers to ExercisesAppendix: Derivations of sampling distributions Hypothesis testing Learning outcomesIntroduction The concepts of hypothesis testingThe Prob-value approach Significance, effect size and powerFurther hypothesis testsHypothesis tests with small samples Are the test procedures valid? Hypothesis tests and confidence intervals Independent and dependent samples Issues with hypothesis testingChapter summary Key terms and concepts Problems Answers to Exercises The c2 and F distributions Learning outcomesIntroductionThe c2 distribution The F distribution Analysis of varianceChapter summaryKey terms and concepts Problems Answers to ExercisesAppendix: Use of c2 and F distribution tables Correlation and regression Learning outcomesIntroductionWhat determines the birth rate in developing countries? Correlation Regression analysisInference in the regression model Chapter summary Key terms and conceptsProblems Answers to ExercisesReferences Multiple regression Learning outcomesIntroductionPrinciples of multiple regression What determines imports into the UK?Finding the right model Chapter summary Key terms and conceptsProblems Answers to ExercisesReferences Data collection and sampling methods Learning outcomes IntroductionUsing secondary data sources Collecting primary dataRandom samplingCalculating the required sample size Collecting the sample Case study: the UK Living Costs and Food SurveyChapter summary Key terms and conceptsProblems References Index numbers Learning outcomesIntroductionA simple index number A price index with more than one commodity Using expenditures as weights Quantity and expenditure indicesThe Consumer Price Index Discounting and present valuesInequality indicesThe Lorenz curve The Gini coefficient Concentration ratios Chapter summaryKey terms and concepts Problems Answers to ExercisesAppendix: deriving the expenditure share form of the Laspeyres price indexReferences Seasonal adjustment of time series data Learning outcomes Introduction The components of a time seriesIsolating the trendIsolating seasonal factorsSeasonal adjustmentAn alternative method for finding the trendForecastingFurther issuesChapter summaryKey terms and conceptsProblemsAnswers to Exercises List of important formulae Appendix: Tables Answers to problems Index

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. ·    New Companion Website for students including quizzes to test your knowledge and Excel data files   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

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.