03629nam a2200769 a 4500 vtls000078757 MTX m eo d cr cn |||m|||a 160715s2012 nyu foab 001 0 eng d 9781606494042 (electronic bk.) 9781606494035 (pbk.) 10.4128/9781606494042 doi (OCoLC)819661952 (CaBNVSL)swl00401690 201607151121 staff 201605041219 admin CaBNVSL CaBNVSL CaBNVSL HB137 .N247 2012 330.015195 23 Ebook Naghshpour, Shahdad. 114463 Statistics for economics [electronic resource] / Shahdad Naghshpour. 1st ed. [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012. 1 electronic text (xvii, 192 p.) : digital file. Economics collection, 2163-7628 Part of: 2012 digital library. Includes bibliographical references (p. 187-188) and index. Statistics is the science of finding order in chaos -- Introduction -- 1. Descriptive statistics -- 2. Numerical descriptive statistics for quantitative variables -- 3. Some applications of descriptive statistics -- 4. Distribution functions -- 5. Sampling distribution of sample statistics -- 6. Point and interval estimation -- 7. Statistical inference with test of hypothesis -- 8. An introduction to regression analysis -- 9. Conclusion -- Glossary -- References -- Index. Access restricted to authorized users and institutions. Statistics is the branch of mathematics that deals with real-life problems. As such, it is an essential tool for economists. Unfortunately, the way the concept of statistics is introduced to students is not compatible with the way economists think and learn. The problem is worsened by the use of mathematical jargon and complex derivations. However, as this book demonstrates, neither is necessary. This book is written in simple English with minimal use of symbols, mostly for the sake of brevity and to make reading literature more meaningful. Also available in print. Mode of access: World Wide Web. System requirements: Adobe Acrobat reader. Title from PDF t.p. (viewed on November 28, 2012). Economics Statistical methods. 25830 null and alternative hypotheses standardization normal distribution function, statistical inference test statistics t distribution function F distribution function parameter mean standard deviation interpretation and analysis coefficient of determination degrees of freedom sampling distribution of sample statistics standard error unbiased consistent efficient central limit theorem margin of error individual error average error mean squared error analysis of variance (ANOVA) Print version: 9781606494035 2012 digital library. 114453 Economics collection. 2163-7628 114465 http://portal.igpublish.com/iglibrary/search/BEPB0000149.html 10 75321 75321