Statistics for economics, accounting and business studies Michael Barrow

Includes bibliographical references and index.

Guided tour of the bookPreface to the sixth editionPublisher's acknowledgements Introduction1 Descriptive statisticsIntroductionSummarising data using graphical techniquesLooking at cross-section data: wealth in the UK in 2005Summarising data using numerical techniquesThe box and whiskers diagramTime-series data: investment expenditures 1977-2009Graphing bivariate data: the scatter diagramData transformationsThe information and data explosionGuidance to the student: how to measure your progressSummaryKey terms and conceptsReferenceProblemsAnswers to exercisesAppendix 1A: notationAppendix 1B: E and V operatorsAppendix 1C: Using logarithms 2 Probability theory and statistical inferenceThe definition of probabilityProbability theory: the building blocksBayes' theoremDecision analysisSummaryKey terms and conceptsProblemsAnswers to exercises 3 Probability distributionsIntroductionRandom variables and probability distributionsThe Binomial distributionThe Normal distributionThe sample mean as a Normally distributed variableThe relationship between the Binomial and Normal distributionsThe Poisson distributionSummaryKey terms and conceptsProblemsAnswers to exercises 4 Estimation and confidence intervalsIntroductionPoint and interval estimationRules and criteria for finding estimatesEstimation with large samplesPrecisely what is a confidence interval?Estimation with small samples: the t distributionSummaryKey terms and conceptsProblemsAnswers to exercisesAppendix: Derivations of sampling distributions 5 Hypothesis testingIntroductionThe concepts of hypothesis testingThe Prob-value approachSignificance, effect size and powerFurther hypothesis testsHypothesis tests with small samplesAre the test procedures valid?Hypothesis test and confidence intervalsIndependent and dependent samplesDiscussion of hypothesis testingSummaryKey terms and conceptsReferenceProblemsAnswers to exercises 6 The and F distributionsIntroductionThe distributionThe F distibutionAnalysis of varianceSummaryKey terms and conceptsProblemsAnswers to exercisesAppendix: Use of and F distribution tables 7 Correlation and regressionIntroductionWhat determines the birth rate in developing countries?CorrelationRegression analysisInference in the regression modelSome other issues in regressionGapminder againSummaryKey terms and conceptsReferencesProblemsAnswers to exercises 8 Multiple regression IntroductionPrinciples of multiple regressionWhat determines imports into the UK?Finding the right modelSummaryKey terms and conceptsReferenceProblemsAnswers to exercises 9 Data collection and sampling methodsIntroductionUsing secondary data sourcesUsing electronic sources of dataCollecting primary dataThe meaning of random samplingCalculating the required sample sizeCollecting the sampleCase study: the UK Living Costs and Food SurveySummaryKey terms and conceptsReferencesProblems 10 Index numbersIntroductionA simple index numberA price index with more than one commodityUsing expenditures as weightsQuantity and expenditure indicesThe Retail Price IndexInequality indicesThe Lorenz curveThe Gini coefficientConcentration ratiosSummaryKey terms and conceptsReferenceProblemsAnswers to exercisesAppendix: Deriving the expenditure share form of the Laspeyres price index 11 Seasonal adjustment of time-series dataIntroductionThe components of a time seriesForecastingFurther issuesSummaryKey terms and conceptsProblemsAnswers to exercises Important formulae used in this bookAppendix: TablesAnswers to problemsIndex

If you want to increase your confidence in statistics then this is the perfect book for you. The 6th edition of Statistics for Economics, Accounting and Business Studies continues to present a user-friendly and concise introduction to a variety of statistical tools and techniques. Throughout the text, the author demonstrates how and why these techniques can be used to solve real-life problems, highlighting common mistakes and assuming no prior knowledge of the subject