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作者 Naghshpour, Shahdad
書名 Statistics for economics [electronic resource] / Shahdad Naghshpour
出版項 [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012
國際標準書號 9781606494042 (electronic bk.)
9781606494035 (pbk.)
國際標準號碼 10.4128/9781606494042 doi
book jacket
版本 1st ed
說明 1 electronic text (xvii, 192 p.) : digital file
系列 Economics collection, 2163-7628
2012 digital library
Economics collection. 2163-7628
附註 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
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries
Mode of access: World Wide Web
System requirements: Adobe Acrobat reader
Title from PDF t.p. (viewed on November 28, 2012)
鏈接 Print version: 9781606494035
主題 Economics -- Statistical methods
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)
Electronic books
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