TY - BOOK AU - Naghshpour,Shahdad TI - Statistics for economics T2 - Economics collection, SN - 9781631573903 AV - HB137 PY - 2016///.] CY - New York, New York (222 East 46th Street, New York, NY 10017) PB - Business Expert Press KW - Economics KW - Statistical methods KW - Null and alternative hypotheses KW - standardization KW - normal distribution function KW - statistical inference KW - test statistics KW - t distribution function KW - F distribution function KW - parameter KW - mean KW - standard deviation KW - interpretation and analysis KW - coefficient of determination KW - degrees of freedom KW - sampling distribution of sample statistics KW - standard error KW - unbiased KW - consistent KW - efficient KW - Central Limit Theorem, and margin of error KW - individual error KW - average error KW - mean squared error KW - analysis of variance (ANOVA) KW - [genre] N1 - Includes bibliographical references (pages 189-190) and index; 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; 2; b; Also available in printing N2 - 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 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. The book is written in simple English with minimal use of symbols, mostly for the sake of brevity and to make reading literature more meaningful. All the examples and exercises in the book are constructed within the field of economics, thus eliminating the difficulty of learning statistics with examples from fields that have no relation to business, politics, or policy. Statistics is in fact, no more difficult than economics. Anyone that can comprehend economics can understand and use statistics successfully within this field UR - https://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000465.html ER -