000 02835nam a22002897i 4500
999 _c8909
_d8909
005 20170403102659.0
008 141223s2009 enka|||| |||| 001 0 eng d
020 _a9780077109875
020 _a0077109872
040 _cfue
_erda
082 _a519.502433
_222
_bN.G.S
100 1 _aNieuwenhuis, Gert,
_eauthor.
245 1 0 _aStatistical methods for business and economics /
_cGert Nieuwenhuis.
264 1 _aMaidenhead :
_bMcGraw-Hill Education ,
_c[2009]
264 4 _cc2009.
300 _axxii, 863 pages :
_billustrations ;
_c26 cm
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
500 _aIncludes index.
505 0 _aDetailed table of contents Preface Guided Tour Technology to enhance teaching and learning 1 Introduction and basic concepts Part 1 Descriptive Statistics 2. Tables and graphs 3. Measures of location 4. Measures of variation 5.Pairs of variables Part 2 Probability 6. Definitions of Probability 7.Calculation of probabilities 8. Probability distribution, expectation, variance 9. Families of discrete distributions 10. Families of continuous distributions 11.Joint probability distributions Part 3 Sampling theory 12.Random samples 13.The sample mean 14.Sample proportion and other sample statistics Part 4 Inferential statistics 15.Interval estimation and hypothesis testing: a general introduction 16.Confidence intervals and tests for and 17.Statistical inference about 18.Confidence intervals and tests to compare two parameters 19. Simple linear regression 20.Multiple linear regression: introduction 21.Multiple linear regression: extension 22.Multiple linear regression: model violations 23.Time series and forecasting 24.Chi-squared tests 25.Nonparametric statistics Appendix A1Excel and SPSS (on Internet) Appendix A2Summation operator ' Appendix A3Greek letters Appendix A4Tables Appendix A5Numeric answers of exercises
520 _a"Statistical Methods for Business and Economics" aims to provide an introduction to the key methods and techniques essential to a typical statistics syllabus, whilst also helping students to develop the skills needed to analyse, interpret and prepare data for use in business, economics and related disciplines. Covering the essential methods required at undergraduate level, the book is structured into four parts that deal with descriptive statistics, probability, sample theory and inferential statistics, taking students from the basics through to more advanced topics such as multiple linear regression. This comprehensive book is ideal for student of statistics at undergraduate level taking an introductory module in the topic.-Publisher description
650 0 _aCommercial statistics.
650 0 _aEconomics
_xStatistical methods.
650 0 _aMathematical statistics.
942 _2ddc
_cBK