000			02967nam a22002537a 4500
003			OSt
005			20220314144529.0
008			111109t xxu||||| |||| 00| 0 eng d
010			_a2004114217
020			_a9780716764007
020			_a0716764008
040			_cLC
050			_aQA276.12.M82
100			_aMoore, David S.
245			_aIntroduction to the practice of statistics. / _cDavid S. Moore, George P. McCabe
250			_a5th ed.
260			_aNew York: _bW. H. Freeman _c2006.
300			_axxxiv, 800 p + various pagings.: _bill. _eCD-ROM [In back cover]
500			_aIncludes index.
505			_aContents: Looking at data: Looking at data-distributions: displaying distributions with graphs -- Describing distributions with numbers -- Density curves and normal distributions Looking at data-relationships: scatterplots -- Correlation -- Least-squares regression -- Cautions about correlation and regression -- The question of causation -- Producing data: First steps -- Design of experiments -- Sampling design -- Toward statistical inference -- Probability and inference: Probability: the study of randomness -- Probability models -- Random variables -- Means and variances of random variables -- General probability rules -- Sampling distribution: Sampling distributions for counts and proportions -- The sampling distribution of a sample mean -- Introduction to inference: Estimating with confidence -- Tests of significance -- Use and abuse of tests -- Power and inference as a decision -- Inference for distributions: Inference for the mean of a population -- Comparing two means -- Optional topics in comparing distributions -- Inference for proportions: Inference for a single proportion -- Comparing two proportions --Topics in inference: Analysis of two-way tables: Data analysis for two-way tables -- Inference for two-way tables -- Formulas and models for two-way tables -- Goodness fit -- Inference for regression: Simple linear regression -- More detail about simple linear regression --Multiple regression: Inference for multiple regression -- A case study -- One-way analysis of variance: Inference for one-way analysis of variance -- Comparing the means -- Two-way analysis of variance: The two-way ANOVA model -- Inference for two-way ANOVA -- Bootstrap methods and permutation tests: The bootstrap idea -- First steps in using the bootstrap -- How accurate is a bootstrap -- Bootstrap confidence intervals -- Significance testing using permutation tests -- Nonparametric tests: The Wilcoxon rank sum test -- The Wilcoxon signed rank test -- The Kruskal-Wallis test -- Logistic regression: The logistic regression model -- Inference for logistic regression -- Statistics for quality: control and capability: Process and statistical process control -- Using control charts -- Process capability indexes -- Control charts for sample proportions --
650			_aStatistics
700			_aMcCabe, George P.
942			_2lcc _cBK
999			_c7415 _d14915