LEADER 05624nam 2200793 a 450 001 9910141418603321 005 20240516103044.0 010 $a9786613676313 010 $a9781280699337 010 $a1280699337 010 $a9781118309803 010 $a1118309804 010 $a9781118309773 010 $a1118309774 010 $a9781118309780 010 $a1118309782 035 $a(CKB)2670000000206377 035 $a(EBL)836609 035 $a(SSID)ssj0000679239 035 $a(PQKBManifestationID)11406005 035 $a(PQKBTitleCode)TC0000679239 035 $a(PQKBWorkID)10609000 035 $a(PQKB)10142817 035 $a(Au-PeEL)EBL836609 035 $a(CaPaEBR)ebr10580266 035 $a(CaONFJC)MIL367631 035 $a(PPN)170611493 035 $a(OCoLC)798698964 035 $a(FR-PaCSA)88813247 035 $a(CaSebORM)9781118309803 035 $a(MiAaPQ)EBC836609 035 $a(FRCYB88813247)88813247 035 $a(Perlego)1011802 035 $a(EXLCZ)992670000000206377 100 $a20120104d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical inference $ea short course /$fMichael J. Panik 205 $a1st ed. 210 $aHoboken, N.J. $cWiley$d2012 215 $a1 online resource (398 p.) 300 $aDescription based upon print version of record. 311 08$a9781118229408 311 08$a1118229401 320 $aIncludes bibliographical references and index. 327 $aStatistical Inference: A SHORT COURSE; Contents; Preface; 1 The Nature of Statistics; 1.1 Statistics Defined; 1.2 The Population and the Sample; 1.3 Selecting a Sample from a Population; 1.4 Measurement Scales; 1.5 Let us Add; Exercises; 2 Analyzing Quantitative Data; 2.1 Imposing Order; 2.2 Tabular and Graphical Techniques: Ungrouped Data; 2.3 Tabular and Graphical Techniques: Grouped Data; Exercises; Appendix 2.A Histograms with Classes of Different Lengths; 3 Descriptive Characteristics of Quantitative Data; 3.1 The Search for Summary Characteristics; 3.2 The Arithmetic Mean 327 $a3.3 The Median3.4 The Mode; 3.5 The Range; 3.6 The Standard Deviation; 3.7 Relative Variation; 3.8 Skewness; 3.9 Quantiles; 3.10 Kurtosis; 3.11 Detection of Outliers; 3.12 So What Do We Do with All This Stuff?; Exercises; Appendix 3.A Descriptive Characteristics of Grouped Data; 3.A.1 The Arithmetic Mean; 3.A.2 The Median; 3.A.3 The Mode; 3.A.4 The Standard Deviation; 3.A.5 Quantiles (Quartiles, Deciles, and Percentiles); 4 Essentials of Probability; 4.1 Set Notation; 4.2 Events within the Sample Space; 4.3 Basic Probability Calculations; 4.4 Joint, Marginal, and Conditional Probability 327 $a4.5 Sources of ProbabilitiesExercises; 5 Discrete Probability Distributions and Their Properties; 5.1 The Discrete Probability Distribution; 5.2 The Mean, Variance, and Standard Deviation of a Discrete Random Variable; 5.3 The Binomial Probability Distribution; 5.3.1 Counting Issues; 5.3.2 The Bernoulli Probability Distribution; 5.3.3 The Binomial Probability Distribution; Exercises; 6 The Normal Distribution; 6.1 The Continuous Probability Distribution; 6.2 The Normal Distribution; 6.3 Probability as an Area Under the Normal Curve 327 $a6.4 Percentiles of the Standard Normal Distribution and Percentiles of the Random Variable XExercises; Appendix 6.A The Normal Approximation to Binomial Probabilities; 7 Simple Random Sampling and the Sampling Distribution of the Mean; 7.1 Simple Random Sampling; 7.2 The Sampling Distribution of the Mean; 7.3 Comments on the Sampling Distribution of the Mean; 7.4 A Central Limit Theorem; Exercises; Appendix 7.A Using a Table of Random Numbers; Appendix 7.B Assessing Normality via the Normal Probability Plot; Appendix 7.C Randomness, Risk, and Uncertainty; 7.C.1 Introduction to Randomness 327 $a7.C.2 Types of Randomness7.C.2.1 Type I Randomness; 7.C.2.2 Type II Randomness; 7.C.2.3 Type III Randomness; 7.C.3 Pseudo-Random Numbers; 7.C.4 Chaotic Behavior; 7.C.5 Risk and Uncertainty; 8 Confidence Interval Estimation of ?; 8.1 The Error Bound on X as an Estimator of ?; 8.2 A Confidence Interval for the Population Mean ? (? Known); 8.3 A Sample Size Requirements Formula; 8.4 A Confidence Interval for the Population Mean ? (? Unknown); Exercises; Appendix 8.A A Confidence Interval for the Population Median MED 327 $a9 The Sampling Distribution of a Proportion and its Confidence Interval Estimation 330 $aA concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio esti 606 $aMathematical statistics$vTextbooks 606 $aEstadística matemàtica$vLlibres de text$2lemac 608 $aLlibres electrònics$2tgfc 615 0$aMathematical statistics 615 7$aEstadística matemàtica 676 $a519.5 700 $aPanik$b Michael J$0525078 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141418603321 996 $aStatistical inference$91929867 997 $aUNINA