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Applied Statistics for Economics and Business

✍ Scribed by Durmuş Γ–zdemir (auth.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
315
Edition
2
Category
Library

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✦ Synopsis


This textbook introduces readers to practical statistical issues by presenting them within the context of real-life economics and business situations. It presents the subject in a non-threatening manner, with an emphasis on concise, easily understandable explanations. It has been designed to be accessible and student-friendly and, as an added learning feature, provides all the relevant data required to complete the accompanying exercises and computing problems, which are presented at the end of each chapter. It also discusses index numbers and inequality indices in detail, since these are of particular importance to students and commonly omitted in textbooks.

Throughout the text it is assumed that the student has no prior knowledge of statistics. It is aimed primarily at business and economics undergraduates, providing them with the basic statistical skills necessary for further study of their subject. However, students of other disciplines will also find it relevant.

✦ Table of Contents


Front Matter....Pages i-xxi
Collecting Data....Pages 1-13
Data Presentation: Graphs, Frequency Tables and Histograms....Pages 15-33
Measures of Location....Pages 35-49
Measures of Dispersion....Pages 51-72
Index Numbers....Pages 73-91
Inequality Indices....Pages 93-108
Probability....Pages 109-122
Probability Distributions....Pages 123-141
Estimation and Confidence Intervals....Pages 143-153
Hypothesis Testing....Pages 155-167
The Chi-Squared, F-Distribution and the Analysis of Variance....Pages 169-190
Correlation....Pages 191-205
Simple Regression....Pages 207-232
Multiple Regression....Pages 233-255
The Analysis of Time Series....Pages 257-291
Back Matter....Pages 293-303

✦ Subjects


Statistics for Business/Economics/Mathematical Finance/Insurance;Business Mathematics;Economic Theory/Quantitative Economics/Mathematical Methods


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