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To learn more, please visit us at Statistics for Economics, Accounting and Business Studies Seventh edition Michael Barrow Harlow, England Every day our work helps learning flourish, and wherever learning flourishes, so do people. From classroom to boardroom, our curriculum materials, digital learning tools and testing programmes help to educate millions of people worldwide – more than any other private enterprise. We combine innovative learning technology with trusted content and educational expertise to provide engaging and effective learning experiences that serve people wherever and whenever they are learning. Seventh Edition STATISTICS FOR ECONOMICS, Accounting and Business Studies MICHAEL BARROW Statistics for Economics, Accounting and Business Studies At Pearson, we have a simple mission: to help people make more of their lives through learning. Table A7 Critical values for the Durbin–Watson test at 5% significance level. Table A6 Critical values of Spearman’s rank correlation coefficient. Table A5(d) Critical values of the F distribution (upper 0.5% points). Table A5(c) Critical values of the F distribution (upper 1% points). Table A5(b) Critical values of the F distribution (upper 2.5% points). Table A5(a) Critical values of the F distribution (upper 5% points).

Table A4 Critical values of the x2 distribution. Table A3 Percentage points of the t distribution. Table A2 The standard Normal distribution. Appendix: deriving the expenditure share form of the Laspeyres price index. A price index with more than one commodity. Case study: the UK Living Costs and Food Survey. What determines imports into the United Kingdom?. What determines the birth rate in developing countries?. Appendix Use of x2 and F distribution tables. Hypothesis tests and confidence intervals. Appendix: Derivations of sampling distributions.

Estimation with small samples: the t distribution. Precisely what is a confidence interval?. Rules and criteria for finding estimates. The relationship between the Binomial and Normal distributions. Random variables and probability distributions.

Guidance to the student: how to measure your progress. Graphing bivariate data: the scatter diagram. Time-series data: investment expenditures 1977–2009. Summarising data using numerical techniques. Looking at cross-section data: wealth in the United Kingdom in 2005. Summarising data using graphical techniques.

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