000 03904nam a2200745 i 4500
001 11138057
003 CaPaEBR
005 20241023114843.0
006 m eo d
007 cr cn |||m|||a
008 160119s2016 nyu foab 001 0 eng d
020 _a9781631573903
_qe-book
035 _a(OCoLC)935736469
035 _a(CaBNVSL)swl00406104
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aHB137
100 1 _aNaghshpour, Shahdad.,
_eauthor.
245 1 0 _aStatistics for economics /
_cShahdad Naghshpour.
250 _aSecond edition.
264 1 _aNew York, New York (222 East 46th Street, New York, NY 10017) :
_bBusiness Expert Press,
_c[(c)2016.]
300 _a1 online resource (xix, 195 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
490 1 _aEconomics collection,
_x2163-7628
504 _aIncludes bibliographical references (pages 189-190) and index.
505 0 _a1. Descriptive statistics --
_t2. Numerical descriptive statistics for quantitative variables --
_t3. Some applications of descriptive statistics --
_t4. Distribution functions --
_t5. Sampling distribution of sample statistics --
_t6. Point and interval estimation --
_t7. Statistical inference with test of hypothesis --
_t8. An introduction to regression analysis --
_t9. Conclusion --
_tGlossary --
_tReferences --
_tIndex.
506 _aAccess restricted to authorized users and institutions.
520 3 _aStatistics 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.
530 _a2
_ub
530 _aAlso available in printing.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat reader.
588 _aTitle from PDF title page (viewed on January 19, 2016).
650 0 _aEconomics
_xStatistical methods.
653 _aNull and alternative hypotheses
653 _astandardization
653 _anormal distribution function
653 _astatistical inference
653 _atest statistics
653 _at distribution function
653 _aF distribution function
653 _aparameter
653 _amean
653 _astandard deviation
653 _ainterpretation and analysis
653 _acoefficient of determination
653 _adegrees of freedom
653 _asampling distribution of sample statistics
653 _astandard error
653 _aunbiased
653 _aconsistent
653 _aefficient
653 _aCentral Limit Theorem, and margin of error
653 _aindividual error
653 _aaverage error
653 _amean squared error
653 _aanalysis of variance (ANOVA)
655 0 _a[genre]
776 0 8 _iPrint version:
_z9781631573897
830 0 _aEconomics collection.
_x2163-7628
856 4 0 _uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000465.html
942 _2lcc
_bCIU
_cOB
_eBEP
_QOL
_zBEP11138057
999 _c74274
_d74274
902 _c1
_dCynthia Snell