000			03903nam a2200601 i 4500
001			10483743
003			CaPaEBR
005			20241023114824.0
006			m eo d
007			cr cn |||m|||a
008			110718s2011 nyua foa 001 0 eng d
020			_a9781606492147 _qelectronic bk.
024	7		_a10.4128/9781606492147 _2doi
028	5	3	_a2 _bBEP
035			_a(OCoLC)755884938
035			_a(CaBNVSL)gtp00548811
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aHF1017
100	1		_aChaffe-Stengel, Priscilla, _eauthor
245	1	0	_aWorking with sample data : _bexploration and inference / _cPriscilla Chaffe-Stengel, Donald N. Stengel.
250			_a1st ed.
264		1	_a[New York, N.Y.] (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2011.]
300			_a1 electronic text (x, 151 pages) : _billustrations, digital file.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aStrategic management collection, _x2150-9646
500			_aIncludes index.
505	0		_aAbout the authors -- _tChapter 1. Depicting data in telling ways -- _tChapter 2. Summarizing location, scatter, and relative position -- _tChapter 3. Understanding the normal distribution and the t- distribution -- _tChapter 4. Using proof by contradiction to draw conclusions -- _tChapter 5. Testing two population means and proportions -- _tChapter 6. Analysis of variance from two or more populations -- _tChapter 7. Testing proportions from two or more populations -- _tChapter 8. Analyzing bivariate data -- _tAppendix. z-table, t-table, F table, and Chi-square table -- _tIndex.
506			_aAccess restricted to authorized users and institutions.
520	3		_aManagers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well with raw data and to make appropriate inferences. Although some statistical techniques for analyzing data and making inferences are sophisticated and require specialized expertise, there are methods that are understandable and applicable by anyone with basic algebra skills and the support of a spreadsheet package. By applying these fundamental methods themselves rather than turning over both the data and the responsibility for analysis and interpretation to an expert, managers will develop a richer understanding and potentially gain better control over their environment. This text is intended to describe these fundamental statistical techniques to managers, data analysts, and students. Statistical analysis of sample data is enhanced by the use of computers. Spreadsheet software is well suited for the methods discussed in this text. Examples in the text detail for the reader how to apply Microsoft Excel.
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 t.p. (viewed on July 19, 2011).
650		0	_aCommercial statistics.
650		0	_aStatistics.
653			_astatistics
653			_asample data
653			_asampling
653			_adata analysis
653			_adescriptive statistics
653			_astatistical inference
653			_ahypothesis testing
655		0	_a[genre]
700	1		_aStengel, Donald N.
776	0	8	_iPrint version: _z9781606492130
830		0	_aQuantitative approaches to decision making collection.
856	4	0	_uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000081.html
942			_2lcc _bCIU _cOB _eBEP _QOL _zBEP10483743
999			_c74436 _d74436
902			_c1 _dCynthia Snell