000			04217cam a22003618i 4500
999			_c13114 _d13114
001			952195940
003			OCoLC
005			20221121154720.0
008			160620s2018 nyu 000 0 eng
010			_a2016028437
020			_a9781259755330 (alk. paper)
020			_a1259755339 (alk. paper)
035			_a(OCoLC)952195940 _z(OCoLC)958356354
040			_aDLC _beng _erda _cDLC _dOCLCF _dOCLCO _dYDX
042			_apcc
050	0	0	_aQA276.12 _b.B59 2018
082	0	0	_a519.5 _223 _bB.A.E
100	1		_aBluman, Allan G _eauthor.
245	1	0	_aElementary statistics : _ba step by step approach / _cAllan G. Bluman, professor emeritus, Community College of Allegheny Dounty
250			_aTenth edition
263			_a1701
264		1	_aNew York, NY : _bMcGraw-Hill Education, _c[2018]
300			_axxiii, 808 pages : _bcolor illustrations ; _c28 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aIncludes index
505	0		_a1 The Nature of Probability and Statistics1.1 Descriptive and Inferential Statistics1.2 Variables and Types of Data1.3 Data Collection and Sampling Techniques1.4 Observational and Experimental Studies1.5 Uses and Misuses of Statistics1.6 Computers and Calculators2 Frequency Distributions and Graphs2.1 Organizing Data2.2 Histograms, Frequency Polygons,and Ogives2.3 Other Types of Graphs3 Data Description3.1 Measures of CentralTendency3.2 Measures of Variation3.3 Measures of Position3.4 Exploratory Data Analysis4 Probability and Counting Rules4.1 Exploratory Data Analysis4.2 The Addition Rules for Probability4.3 The Multiplication Rules and ConditionalProbability4.4 Counting Rules4.5 Probability and Counting Rules5 Discrete Probability Distributions5.1 Probability Distributions5.2 Mean, Variance, Standard Deviation,and Expectation5.3 The Binomial Distribution5.4 Other Types of Distributions (Optional)6 The Normal Distribution6.1 Normal Distributions6.2 Applications of the NormalDistribution6.3 The Central Limit Theorem6.4 The Normal Approximation to the BinomialDistribution7 Confidence Intervals and Sample Size7.1 Confidence Intervals for the Mean When Is Known7.2 Confidence Intervals for the Mean When Is Unknown7.3 Confidence Intervals and Sample Size for Proportions7.4 Confidence Intervals for Variances and Standard Deviations8 Hypothesis Testing8.1 Steps in Hypothesis Testing-Traditional Method8.2 z Test for a Mean8.3 t Test for a Mean8.4 z Test for a Proportion8.5 2 Test for a Variance or Standard Deviation8.6 Additional Topics Regarding Hypothesis Testing9 Testing the Difference Between Two Means, Two Variances, and Two Proportions9.1 Testing the Difference Between Two Means: Using the z Test9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test9.3 Testing the Difference Between Two Means: Dependent Samples9.4 Testing the Difference Between Proportions9.5 Testing the Difference Between Two Variances10 Correlation and Regression10.1 Scatter Plots and Correlation10.2 Regression10.3 Coefficient of Determination and Standard Error of the Estimate10.4 Multiple Regression (Optional)11 Other Chi-Square Tests11.1 Test for Goodness of Fit11.2 Tests Using Contingency Tables12 Analysis of Variance12.1 One-Way Analysis of Variance12.2 The Scheffe Test and the Tukey Test12.3 Two-Way Analysis of Variance13 Nonparametric Statistics13.1 Advantages and Disadvantages of Nonparametric Methods13.2 The Sign Test13.3 The Wilcoxon Rank Sum Test13.4 The Wilcoxon Signed-Rank Test13.5 The Kruskal-Wallis Test13.6 The Spearman Rank Correlation Coefficient and the Runs Test14 Sampling and Simulation14.1 Common Sampling Techniques14.2 Surveys and Questionnaire Design14.3 Simulation Techniques and the Monte Carlo MethodAppendicesAppendix A: TablesAppendix B: Data BankAppendix C: GlossaryAppendix D: Photos Credits Appendix E: Selected AnswersAdditional Topics OnlneAlgebra ReviewWriting the Research ReportBayes' TheoremAlternate Approach to the Standard Normal DistributionBibliography
650		0	_aStatistics _vTextbooks
650		0	_aMathematical statistics _vTextbooks
655		7	_aTextbooks. _2fast _0(OCoLC)fst01423863
942			_2ddc _cBK