{"product_id":"statistics-principles-and-methods-emea-edition-paperback-softback-9781119588948","title":"Statistics; Principles and Methods, EMEA Edition (Paperback \/ softback) 9781119588948","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistics\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003ePrinciples and Methods, EMEA Edition\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eRichard A. Johnson (Author), Gouri K. Bhattacharyya (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119588948, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 14 May 2019\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e576 pages\u003cbr\u003e1 x 1 x 1 cm, 0.454 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eStatistics: Principles and Methods\u003c\/i\u003e, 8th Edition provides students and business professionals with a comprehensive introduction to statistics concepts, terminology, and methods with a wide array of practical applications. Real-world data provides an easily relatable frame of reference, while numerous examples reinforce key ideas and demonstrate critical concepts to help ease student comprehension. Designed for those seeking a highly practical introduction to statistical measurement, reasoning, and analysis, this book requires no specific mathematical background and leaves derivations behind in favor of logic, reasoning, and modern statistics software.\u003c\/p\u003e \u003cp\u003eConcepts are introduced first in a real-life setting to illustrate immediate relevancy, and are subsequently expanded to relate underlying mechanisms, limitations, and further applications. An emphasis on the relationship between validity and assumptions underscores the importance of critical thinking and the use of appropriate models while instilling thoughtful habits that lead to accuracy in interpretation. Going beyond the typical introductory text to keep the focus on application, this book gives students a deeper understanding of statistics as it is used every day across disciplines and industries.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003e1 INTRODUCTION TO STATISTICS 1\u003cbr\u003e\u003c\/b\u003e1 The Subject and Scope of Statistics 2\u003cbr\u003e2 Statistics in Aid of Scientific Inquiry 4\u003cbr\u003e3 Two Basic Concepts—Population and Sample 6\u003cbr\u003e4 The Purposeful Collection of Data 11\u003cbr\u003eCase Study: Statistics in Context 12\u003cbr\u003e5 Objectives of Statistics 14\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 ORGANIZATION AND DESCRIPTION OF DATA 17\u003cbr\u003e\u003c\/b\u003e1 Main Types of Data 18\u003cbr\u003e2 Describing Data by Tables and Graphs 19\u003cbr\u003e3 Measures of Center 31\u003cbr\u003e4 Measures of Variation 37\u003cbr\u003e5 Checking the Stability of the Observations over Time 47\u003cbr\u003e6 More on Graphics 50\u003cbr\u003eCase Study: Statistics in Context 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 DESCRIPTIVE STUDY OF BIVARIATE DATA 64\u003cbr\u003e\u003c\/b\u003e1 Summarization of Bivariate Categorical Data 65\u003cbr\u003e2 A Designed Experiment for Making a Comparison 69\u003cbr\u003e3 Scatter Diagram of Bivariate Measurement Data 70\u003cbr\u003e4 The Correlation Coefficient—A Measure of Linear Relation 73\u003cbr\u003e5 Prediction of One Variable from another (Linear Regression) 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 PROBABILITY 91\u003cbr\u003e\u003c\/b\u003e1 Probability of an Event 92\u003cbr\u003e2 Methods of Assigning Probability 97\u003cbr\u003e3 Event Operations and Two Laws of Probability 102\u003cbr\u003e4 Conditional Probability and Independence 109\u003cbr\u003e5 Bayes' Theorem 117\u003cbr\u003e6 Random Sampling from a Finite Population 121\u003cbr\u003eCase Study: Statistics in Context 126\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 PROBABILITY DISTRIBUTIONS 134\u003cbr\u003e\u003c\/b\u003e1 Random Variables 135\u003cbr\u003e2 Probability Distribution of a Discrete Random Variable 138\u003cbr\u003e3 Mean (Expected Value) and Standard Deviation of a Probability Distribution 144\u003cbr\u003e4 Successes and Failures—Bernoulli Trials 150\u003cbr\u003e5 The Binomial Distribution 154\u003cbr\u003e6 The Poisson Distribution and Rare Events 165\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 THE NORMAL DISTRIBUTION 178\u003cbr\u003e\u003c\/b\u003e1 Probability Model for a Continuous Random Variable 179\u003cbr\u003e2 The Normal Distribution—Its General Features 184\u003cbr\u003e3 The Standard Normal Distribution 186\u003cbr\u003e4 Probability Calculations with Normal Distributions 191\u003cbr\u003e5 The Normal Approximation to the Binomial 194\u003cbr\u003e6 Checking the Plausibility of a Normal Model 199\u003cbr\u003e7 Transforming Observations to Attain Near Normality 202\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 VARIATION IN REPEATED SAMPLES—SAMPLING DISTRIBUTIONS 210\u003cbr\u003e\u003c\/b\u003e1 The Sampling Distribution of a Statistic 212\u003cbr\u003e2 Distribution of the Sample Mean and the Central Limit Theorem 218\u003cbr\u003eCase Study: Statistics in Context 228\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 DRAWING INFERENCES FROM LARGE SAMPLES 235\u003cbr\u003e\u003c\/b\u003e1 Two Types of Statistical Inference: Estimation and Testing 236\u003cbr\u003e2 Point Estimation of a Population Mean 238\u003cbr\u003e3 Confidence Interval Estimation of a Population Mean 242\u003cbr\u003e4 Testing Hypotheses about a Population Mean 250\u003cbr\u003e5 Inferences about a Population Proportion 261\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 SMALL SAMPLE INFERENCES FOR NORMAL POPULATIONS 278\u003cbr\u003e\u003c\/b\u003e1 Student's t Distribution 279\u003cbr\u003e2 Inferences about ;;—Small Sample Size 282\u003cbr\u003e3 Relationship between Tests and Confidence Intervals 289\u003cbr\u003e4 Inferences about the Standard Deviation ;; (The Chi-Square Distribution) 291\u003cbr\u003e5 Robustness of Inference Procedures 296\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 COMPARING TWO TREATMENTS 303\u003cbr\u003e\u003c\/b\u003e1 Two Designs: Independent Samples and Matched Pairs Sample 305\u003cbr\u003e2 Inferences about the Difference of Means—Independent Large Samples 307\u003cbr\u003e3 Inferences about the Difference of Means—Independent Small Samples from Normal Populations 314\u003cbr\u003e4 Randomization and Its Role in Inference 323\u003cbr\u003e5 Matched Pairs Comparisons 325\u003cbr\u003e6 Choosing Between Independent Samples and a Matched Pairs Sample 332\u003cbr\u003e7 Comparing Two Population Proportions 333\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 REGRESSION ANALYSIS I\u003cbr\u003e\u003c\/b\u003eSimple Linear Regression 349\u003cbr\u003e1 Regression with a Single Predictor 350\u003cbr\u003e2 A Straight Line Regression Model 353\u003cbr\u003e3 The Method of Least Squares 355\u003cbr\u003e4 The Sampling Variability of the Least Squares Estimators—Tools for Inference 362\u003cbr\u003e5 Important Inference Problems 363\u003cbr\u003e6 The Strength of a Linear Relation 373\u003cbr\u003e7 Remarks about the Straight Line Model Assumptions 377\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 REGRESSION ANALYSIS II Multiple Linear Regression and Other Topics 384\u003cbr\u003e\u003c\/b\u003e1 Nonlinear Relations and Linearizing Transformations 385\u003cbr\u003e2 Multiple Linear Regression 390\u003cbr\u003e3 Residual Plots to Check the Adequacy of a Statistical Model 398\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 ANALYSIS OF CATEGORICAL DATA 408\u003cbr\u003e\u003c\/b\u003e1 Formulating Testing Problems Concerning Categorical Data 409\u003cbr\u003e2 Pearson's χ2 Test for Goodness of Fit 411\u003cbr\u003e3 Contingency Table with One Margin Fixed (Test of Homogeneity) 415\u003cbr\u003e4 Contingency Table with Neither Margin Fixed (Test of Independence) 422\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 ANALYSIS OF VARIANCE (ANOVA) 432\u003cbr\u003e\u003c\/b\u003e1 Comparison of Several Treatments—One-Way Analysis of Variance 433\u003cbr\u003e2 Population Model and Inferences for a One-Way Analysis of Variance 439\u003cbr\u003e3 Simultaneous Confidence Intervals 443\u003cbr\u003e4 Graphical Diagnostics and Displays to Supplement ANOVA 446\u003cbr\u003e5 Randomized Block Experiments for Comparing k Treatments 448\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 NONPARAMETRIC INFERENCE 460\u003cbr\u003e\u003c\/b\u003e1 The Wilcoxon Rank-Sum Test for Comparing Two Treatments 461\u003cbr\u003e2 Matched Pairs Comparisons 469\u003cbr\u003e3 Measure of Correlation Based on Ranks 475\u003cbr\u003e4 Concluding Remarks 478\u003c\/p\u003e \u003cp\u003eAPPENDIX A1 SUMMATION NOTATION 483\u003cbr\u003eAPPENDIX A2 RULES FOR COUNTING 488\u003cbr\u003eAPPENDIX A3 EXPECTATION AND STANDARD DEVIATION—PROPERTIES 490\u003cbr\u003eAPPENDIX A4 THE EXPECTED VALUE AND STANDARD DEVIATION OF X 496\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDIX B TABLES 498\u003cbr\u003e\u003c\/b\u003eTable 1 Random Digits 498\u003cbr\u003eTable 2 Cumulative Binomial Probabilities  501\u003cbr\u003eTable 3 Cumulative Poisson Probabilities 507\u003cbr\u003eTable 4 Standard Normal Probabilities 509\u003cbr\u003eTable 5 Percentage Points t Distributions 511\u003cbr\u003eTable 6 Percentage Points χ2;; of χ2 Distributions 512\u003cbr\u003eTable 7 Percentage Points of F(v1, v2) Distributions 513\u003cbr\u003eTable 8 Selected Tail Probabilities for the Null Distribution of Wilcoxon's Rank-Sum Statistic 515\u003cbr\u003eTable 9 Selected Tail Probabilities for the Null Distribution of Wilcoxon's Signed-Rank Statistic 520\u003cbr\u003eTable F1 General Formulas for Inferences about a Mean (;;), Difference of Two Means ( ;;1 − ;;2 ) 522\u003cbr\u003eTable F2 Inference about Proportions 523\u003c\/p\u003e \u003cp\u003eSummary of Formulas Useful for Exams 524\u003c\/p\u003e \u003cp\u003eDATA BANK 530\u003cbr\u003eANSWERS TO SELECTED ODD-NUMBERED EXERCISES 544\u003cbr\u003eINDEX 557\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52472150524184,"sku":"9781119588948","price":43.67,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119588948.jpg?v=1785719227","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/statistics-principles-and-methods-emea-edition-paperback-softback-9781119588948","provider":"Freshly Printed Books","version":"1.0","type":"link"}