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Author Naghshpour, Shahdad.

Title Statistics for economics [electronic resource] / Shahdad Naghshpour.

Imprint [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2012.

Copies

Location Call No. OPAC Message Status
 Axe ProQuest E-Book  Electronic Book    ---  Available
Edition 1st ed.
Description 1 electronic text (xvii, 192 p.) : digital file.
Series Economics collection, 2163-7628
2012 digital library.
Economics collection. 2163-7628
Note Part of: 2012 digital library.
Bibliography Includes bibliographical references (p. 187-188) and index.
Contents 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 Access restricted to authorized users and institutions.
Summary 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.
Form Also available in print.
Reproduction Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
System Details Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
Note Title from PDF t.p. (viewed on November 28, 2012).
Subject Economics -- Statistical methods.
Indexed Term 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)
Genre/Form Electronic books.
Other Form: Print version: 9781606494035
ISBN 9781606494042 (electronic bk.)
9781606494035 (pbk.)
Standard No. 10.4128/9781606494042 doi

 
    
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