05624nam 2200793 a 450 991014141860332120240516103044.0978661367631397812806993371280699337978111830980311183098049781118309773111830977497811183097801118309782(CKB)2670000000206377(EBL)836609(SSID)ssj0000679239(PQKBManifestationID)11406005(PQKBTitleCode)TC0000679239(PQKBWorkID)10609000(PQKB)10142817(Au-PeEL)EBL836609(CaPaEBR)ebr10580266(CaONFJC)MIL367631(PPN)170611493(OCoLC)798698964(FR-PaCSA)88813247(CaSebORM)9781118309803(MiAaPQ)EBC836609(FRCYB88813247)88813247(Perlego)1011802(EXLCZ)99267000000020637720120104d2012 uy 0engur|n|---|||||txtccrStatistical inference a short course /Michael J. Panik1st ed.Hoboken, N.J. Wiley20121 online resource (398 p.)Description based upon print version of record.9781118229408 1118229401 Includes bibliographical references and index.Statistical 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 Mean3.3 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 Probability4.5 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 Curve6.4 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 Randomness7.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 μ; 8.1 The Error Bound on X as an Estimator of μ; 8.2 A Confidence Interval for the Population Mean μ (σ Known); 8.3 A Sample Size Requirements Formula; 8.4 A Confidence Interval for the Population Mean μ (σ Unknown); Exercises; Appendix 8.A A Confidence Interval for the Population Median MED9 The Sampling Distribution of a Proportion and its Confidence Interval EstimationA 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 estiMathematical statisticsTextbooksEstadística matemàticaLlibres de textlemacLlibres electrònicstgfcMathematical statisticsEstadística matemàtica519.5Panik Michael J525078MiAaPQMiAaPQMiAaPQBOOK9910141418603321Statistical inference1929867UNINA