MARC Record from marc_nuls

LEADER: 07500cam 2200397 a 4500
001 9921138950001661
005 20150423133329.0
008 020401s2003 caua b 001 0 eng
010 $a 2002104701
020 $a0534395198
035 $a(CSdNU)u187731-01national_inst
035 $a(OCoLC)52920356
035 $a(OCoLC)52920356
040 $aDLC$cDLC$dOrPss
049 $aCNUM
050 00 $aQA276$b.M425 2003
082 00 $a519.5$222
100 1 $aMendenhall, William.
245 10 $aIntroduction to probability and statistics.
246 30 $aProbability and statistics
250 $a11th ed. /$bWilliam Mendenhall, Robert J. Beaver, Barbara M. Beaver.
260 $aPacific Grove, CA :$bThomson-Brooks/Cole,$cc2003.
300 $axxiii, 720 p. :$bill. (some col.) ;$c26 cm. +$e1 CD-ROM (4 3/4 in.)
504 $aIncludes bibliographical references and index.
505 0 $aDescriptive and Inferential Statistics -- Achieving the Objective of Inferential Statistics: The Necessary Steps -- Describing Data with Graphs -- Variables and Data -- Types of Variables -- Graphs for Categorical Data -- Graphs for Quantitative Data -- Relative Frequency Histograms -- Describing Data with Numerical Measures -- Describing a Set of Data with Numerical Measures -- Measures of Center -- Measures of Variability -- On the Practical Significance of the Standard Deviation -- A Check on the Calculation of s -- Measures of Relative Standing -- The Five-Number Summary and the Box Plot -- Describing Bivariate Data -- Bivariate Data -- Graphs for Qualitative Variables -- Scatterplots for Two Quantitative Variables -- Numerical Measures for Quantitative Bivariate Data -- Probability and Probability Distributions -- The Role of Probability in Statistics -- Events and the Sample Space -- Calculating Probabilities Using Simple Events -- Useful Counting Rules (Optional) -- Event Relations and Probability Rules -- Conditional Probability, Independence, and the Multiplicative Rule -- Bayes' Rule (Optional) -- Discrete Random Variables and Their Probability Distributions -- Several Useful Discrete Distributions -- The Binomial Probability Distribution -- The Poisson Probability Distribution -- The Hypergeometric Probability Distribution -- The Normal Probability Distribution -- Probability Distributions for Continuous Random Variables -- The Normal Probability Distribution -- Tabulated Areas of the Normal Probability Distribution -- The Normal Approximation to the Binomial Probability Distribution (Optional) -- Sampling Distributions -- Sampling Plans and Experimental Designs -- Statistics and Sampling Distributions -- The Central Limit Theorem -- The Sampling Distribution of the Sample Mean -- The Sampling Distribution of the Sample Proportion -- A Sampling Application: Statistical Process Control (Optional) -- Large-Sample Estimation -- Where We've Been -- Where We're Going--Statistical Inference -- Types of Estimators -- Point Estimation -- Interval Estimation -- Estimating the Difference between Two Population Means -- Estimating the Difference between Two Binomial Proportions -- One-Sided Confidence Bounds -- Choosing the Sample Size -- Large-Sample Tests of Hypotheses -- Testing Hypotheses about Population Parameters -- A Statistical Test of Hypothesis -- A Large-Sample Test about a Population Mean -- A Large-Sample Test of Hypothesis for the Difference between Two Population Means -- A Large-Sample Test of Hypothesis for a Binomial Proportion -- A Large-Sample Test of Hypothesis for the Difference between Two Binomial Proportions -- Some Comments on Testing Hypotheses -- Inference from Small Samples -- Student's t Distribution -- Small-Sample Inferences Concerning a Population Mean -- Small-Sample Inferences for the Difference between Two Population Means: Independent Random Samples -- Small-Sample Inferences for the Difference between Two Means: A Paired-Difference Test -- Inferences Concerning a Population Variance -- Comparing Two Population Variances -- Revisiting the Small-Sample Assumptions -- The Analysis of Variance -- The Design of an Experiment -- What Is an Analysis of Variance? -- The Assumptions for an Analysis of Variance -- The Completely Randomized Design: A One-Way Classification -- The Analysis of Variance for a Completely Randomized Design -- Ranking Population Means -- The Randomized Block Design: A Two-Way Classification -- The Analysis of Variance for a Randomized Block Design -- The a x b Factorial Experiment: A Two-Way Classification -- The Analysis of Variance for an a x b Factorial Experiment -- Revisiting the Analysis of Variance Assumptions -- Linear Regression and Correlation -- A Simple Linear Probabilistic Model -- The Method of Least Squares -- An Analysis of Variance for Linear Regression -- Testing the Usefulness of the Linear Regression Model -- Diagnostic Tools for Checking the Regression Assumptions -- Estimation and Prediction Using the Fitted Line -- Correlation Analysis -- Multiple Regression Analysis -- The Multiple Regression Model -- A Multiple Regression Analysis -- A Polynomial Regression Model -- Using Quantitative and Qualitative Predictor Variables in a Regression Model -- Testing Sets of Regression Coefficients -- Interpreting Residual Plots -- Stepwise Regression Analysis -- Misinterpreting a Regression Analysis -- Steps to Follow When Building a Multiple Regression Model -- Analysis of Categorical Data -- A Description of the Experiment -- Pearson's Chi-Square Statistic -- Testing Specified Cell Probabilities: The Goodness-of-Fit Test -- Contingency Tables: A Two-Way Classification -- Comparing Several Multinomial Populations: A Two-Way Classification with Fixed Row or Column Totals -- The Equivalence of Statistical Tests -- Other Applications of the Chi-Square Test -- Nonparametric Statistics -- The Wilcoxon Rank Sum Test: Independent Random Samples -- The Sign Test for a Paired Experiment -- A Comparison of Statistical Tests -- The Wilcoxon Signed-Rank Test for a Paired Experiment -- The Kruskal-Wallis H Test for Completely Randomized Designs -- The Friedman F[subscript r] Test for Randomized Block Designs -- Rank Correlation Coefficient -- Cumulative Binomial Probabilities -- Cumulative Poisson Probabilities -- Areas under the Normal Curve -- Critical Values of t -- Critical Values of Chi-Square -- Percentage Points of the F Distribution -- Critical Values of T for the Wilcoxon Rank Sum Test, n[subscript 1] [less than or equal] n[subscript 2] -- Critical Values of T for the Wilcoxon Signed-Rank Test, n = 5(1)50 -- Critical Values of Spearman's Rank Correlation Coefficient for a One-Tailed Test -- Random Numbers -- Percentage Points of the Studentized Range, q[subscript [alpha](k, df).
538 $aSystem requirements for accompanying CD-ROM: version 11.0; Windows 98, ME, XP, 2000, or NT 4.0 or higher.
590 $ala ACCOMPANYING CD-ROM IN MULTIMEDIA COLLECTION AT CIRCULATION DESK.
590 $ala ACCOMPANYING CD-ROM IN MULTIMEDIA COLLECTION AT CIRCULATION DESK.
650 0 $aMathematical statistics.
650 0 $aProbabilities.
700 1 $aBeaver, Robert J.
700 1 $aBeaver, Barbara M.
949 $aQA276 .M425 2003$i31786101582523
994 $a92$bCNU
999 $aQA 276 .M425 2003$wLC$c1$i31786101582523$d11/19/2011$e10/13/2011 $f6/16/2004$g1$lCIRCSTACKS$mNULS$n11$q2$rY$sY$tBOOK$u2/17/2004
999 $aQA 276 .M425 2003 CD$wLC$c1$i31786101766894$d2/4/2007$e1/9/2007 $lCIRCSTACKS$mNULS$n4$rY$sY$tCD-ROM$u2/24/2004