000 | 02025nam#a2200265 4500 | ||
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001 | 9781264360956 | ||
003 | VST | ||
005 | 20240703092237.0 | ||
006 | m o d | ||
007 | cr#un#---uucau | ||
008 | 210105s2021 eng d | ||
020 | _a9781264360956 | ||
040 |
_aVST _cVST _dVST |
||
100 | 1 |
_aDavid Doane; Lori Seward _eauthor |
|
245 | 1 | 0 |
_aApplied Statistics in Business and Economics, 7th Edition _h[Libro Electrónico - McGraw-Hill] |
250 | _aseventh edition | ||
260 | _aUnited Kingdom of Great Britain & Northern Ireland : | ||
264 | 1 |
_aUnited Kingdom of Great Britain & Northern Ireland : _bMcGraw-Hill Higher Education (International), _c2021 |
|
300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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520 | _aApplied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets. | ||
650 | 4 | _aMathematics/Probability & Statistics/General | |
856 | 4 | 0 | _uhttps://bc.vitalsource.com/tenants/bibcent_ex/libraries?bookmeta_vbid=9781264360956 |
999 |
_c434661 _d434661 |