{"product_id":"introductory-statistics-for-the-behavioral-sciences-9780470907764","title":"Introductory Statistics for the Behavioral","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eA comprehensive and user-friendly introduction to statistics for behavioral science students?revised and updated\u003c\/p\u003e \u003cp\u003eRefined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data.\u003c\/p\u003e \u003cp\u003eOne of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral sciences need in a uniquely accessible and easy-to-understand format, aiding in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences.\u003c\/p\u003e \u003cp\u003eThe Seventh Edition features:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eA continuous narrative that clearly explains statistics while tracking a common data set throughout, making the concepts unintimidating and \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePreface xv\u003c\/b\u003e  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAcknowledgments xix\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGlossary of Symbols xxi\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Descriptive Statistics 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introduction 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy Study Statistics? 4\u003c\/p\u003e \u003cp\u003eDescriptive and Inferential Statistics 5\u003c\/p\u003e \u003cp\u003ePopulations, Samples, Parameters, and Statistics 6\u003c\/p\u003e \u003cp\u003eMeasurement Scales 7\u003c\/p\u003e \u003cp\u003eIndependent and Dependent Variables 10\u003c\/p\u003e \u003cp\u003eSummation Notation 12\u003c\/p\u003e \u003cp\u003eIhno’s Study 16\u003c\/p\u003e \u003cp\u003eSummary 18\u003c\/p\u003e \u003cp\u003eExercises 19\u003c\/p\u003e \u003cp\u003eThought Questions 23\u003c\/p\u003e \u003cp\u003eComputer Exercises 23\u003c\/p\u003e \u003cp\u003eBridge to SPSS 24\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Frequency Distributions and Graphs 26\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Purpose of Descriptive Statistics 27\u003c\/p\u003e \u003cp\u003eRegular Frequency Distributions 28\u003c\/p\u003e \u003cp\u003eCumulative Frequency Distributions 30\u003c\/p\u003e \u003cp\u003eGrouped Frequency Distributions 31\u003c\/p\u003e \u003cp\u003eReal and Apparent Limits 33\u003c\/p\u003e \u003cp\u003eInterpreting a Raw Score 34\u003c\/p\u003e \u003cp\u003eDefinition of Percentile Rank and Percentile 34\u003c\/p\u003e \u003cp\u003eComputational Procedures 35\u003c\/p\u003e \u003cp\u003eDeciles, Quartiles, and the Median 38\u003c\/p\u003e \u003cp\u003eGraphic Representations 39\u003c\/p\u003e \u003cp\u003eShapes of Frequency Distributions 43\u003c\/p\u003e \u003cp\u003eSummary 45\u003c\/p\u003e \u003cp\u003eExercises 47\u003c\/p\u003e \u003cp\u003eThought Questions 49\u003c\/p\u003e \u003cp\u003eComputer Exercises 49\u003c\/p\u003e \u003cp\u003eBridge to SPSS 50\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Measures of Central Tendency and Variability 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 54\u003c\/p\u003e \u003cp\u003eThe Mode 56\u003c\/p\u003e \u003cp\u003eThe Median 56\u003c\/p\u003e \u003cp\u003eThe Mean 58\u003c\/p\u003e \u003cp\u003eThe Concept of Variability 62\u003c\/p\u003e \u003cp\u003eThe Range 65\u003c\/p\u003e \u003cp\u003eThe Standard Deviation and Variance 66\u003c\/p\u003e \u003cp\u003eSummary 73\u003c\/p\u003e \u003cp\u003eExercises 75\u003c\/p\u003e \u003cp\u003eThought Questions 76\u003c\/p\u003e \u003cp\u003eComputer Exercises 77\u003c\/p\u003e \u003cp\u003eBridge to SPSS 78\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Standardized Scores and the Normal Distribution 81\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInterpreting a Raw Score Revisited 82\u003c\/p\u003e \u003cp\u003eRules for Changing μ and σ 84\u003c\/p\u003e \u003cp\u003eStandard Scores (\u003ci\u003ez\u003c\/i\u003e Scores) 85\u003c\/p\u003e \u003cp\u003e\u003ci\u003eT\u003c\/i\u003e Scores, SAT Scores, and IQ Scores 88\u003c\/p\u003e \u003cp\u003eThe Normal Distribution 90\u003c\/p\u003e \u003cp\u003eTable of the Standard Normal Distribution 93\u003c\/p\u003e \u003cp\u003eIllustrative Examples 95\u003c\/p\u003e \u003cp\u003eSummary 101\u003c\/p\u003e \u003cp\u003eExercises 103\u003c\/p\u003e \u003cp\u003eThought Questions 105\u003c\/p\u003e \u003cp\u003eComputer Exercises 106\u003c\/p\u003e \u003cp\u003eBridge to SPSS 106\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Basic Inferential Statistics 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Introduction to Statistical Inference 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 113\u003c\/p\u003e \u003cp\u003eThe Goals of Inferential Statistics 114\u003c\/p\u003e \u003cp\u003eSampling Distributions 114\u003c\/p\u003e \u003cp\u003eThe Standard Error of the Mean 119\u003c\/p\u003e \u003cp\u003eThe \u003ci\u003ez\u003c\/i\u003e Score for Sample Means 122\u003c\/p\u003e \u003cp\u003eNull Hypothesis Testing 124\u003c\/p\u003e \u003cp\u003eAssumptions Required by the Statistical Test for the Mean of a Single Population 132\u003c\/p\u003e \u003cp\u003eSummary 133\u003c\/p\u003e \u003cp\u003eExercises 135\u003c\/p\u003e \u003cp\u003eThought Questions 137\u003c\/p\u003e \u003cp\u003eComputer Exercises 138\u003c\/p\u003e \u003cp\u003eBridge to SPSS 138\u003c\/p\u003e \u003cp\u003eAppendix: The Null Hypothesis Testing Controversy 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 The One-Sample \u003ci\u003et\u003c\/i\u003e Test and Interval Estimation 142\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 143\u003c\/p\u003e \u003cp\u003eThe Statistical Test for the Mean of a Single Population When σ Is Not Known: The \u003ci\u003et\u003c\/i\u003e Distributions 144\u003c\/p\u003e \u003cp\u003eInterval Estimation 148\u003c\/p\u003e \u003cp\u003eThe Standard Error of a Proportion 152\u003c\/p\u003e \u003cp\u003eSummary 155\u003c\/p\u003e \u003cp\u003eExercises 156\u003c\/p\u003e \u003cp\u003eThought Questions 157\u003c\/p\u003e \u003cp\u003eComputer Exercises 158\u003c\/p\u003e \u003cp\u003eBridge to SPSS 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Testing Hypotheses About the Difference Between the Means of Two Populations 160\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Standard Error of the Difference 162\u003c\/p\u003e \u003cp\u003eEstimating the Standard Error of the Difference 166\u003c\/p\u003e \u003cp\u003eThe \u003ci\u003et\u003c\/i\u003e Test for Two Sample Means 167\u003c\/p\u003e \u003cp\u003eConfidence Intervals for μ1 − μ2 172\u003c\/p\u003e \u003cp\u003eThe Assumptions Underlying the Proper Use of the \u003ci\u003et\u003c\/i\u003e Test for Two Sample Means 175\u003c\/p\u003e \u003cp\u003eMeasuring the Size of an Effect 176\u003c\/p\u003e \u003cp\u003eThe \u003ci\u003et\u003c\/i\u003e Test for Matched Samples 178\u003c\/p\u003e \u003cp\u003eSummary 185\u003c\/p\u003e \u003cp\u003eExercises 187\u003c\/p\u003e \u003cp\u003eThought Questions 190\u003c\/p\u003e \u003cp\u003eComputer Exercises 191\u003c\/p\u003e \u003cp\u003eBridge to SPSS 191\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Nonparametric Tests for the Difference Between Two Means 194\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 195\u003c\/p\u003e \u003cp\u003eThe Difference Between the Locations of Two Independent Samples: The Rank-Sum Test 199\u003c\/p\u003e \u003cp\u003eThe Difference Between the Locations of Two Matched Samples: The Wilcoxon Test 205\u003c\/p\u003e \u003cp\u003eSummary 210\u003c\/p\u003e \u003cp\u003eExercises 212\u003c\/p\u003e \u003cp\u003eThought Questions 215\u003c\/p\u003e \u003cp\u003eComputer Exercises 216\u003c\/p\u003e \u003cp\u003eBridge to SPSS 216\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Linear Correlation 218\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 219\u003c\/p\u003e \u003cp\u003eDescribing the Linear Relationship Between Two Variables 222\u003c\/p\u003e \u003cp\u003eInterpreting the Magnitude of a Pearson \u003ci\u003er\u003c\/i\u003e 229\u003c\/p\u003e \u003cp\u003eWhen Is It Important That Pearson’s \u003ci\u003er\u003c\/i\u003e Be Large? 234\u003c\/p\u003e \u003cp\u003eTesting the Significance of the Correlation Coefficient 236\u003c\/p\u003e \u003cp\u003eThe Relationship Between Two Ranked Variables: The Spearman Rank-Order Correlation Coefficient 239\u003c\/p\u003e \u003cp\u003eSummary 242\u003c\/p\u003e \u003cp\u003eExercises 244\u003c\/p\u003e \u003cp\u003eThought Questions 247\u003c\/p\u003e \u003cp\u003eComputer Exercises 248\u003c\/p\u003e \u003cp\u003eBridge to SPSS 248\u003c\/p\u003e \u003cp\u003eAppendix: Equivalence of the Various Formulas for \u003ci\u003er\u003c\/i\u003e 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Prediction and Linear Regression 253\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 254\u003c\/p\u003e \u003cp\u003eUsing Linear Regression to Make Predictions 254\u003c\/p\u003e \u003cp\u003eMeasuring Prediction Error: The Standard Error of Estimate 263\u003c\/p\u003e \u003cp\u003eThe Connection Between Correlation and the \u003ci\u003et\u003c\/i\u003e Test 265\u003c\/p\u003e \u003cp\u003eEstimating the Proportion of Variance Accounted for in the Population 271\u003c\/p\u003e \u003cp\u003eSummary 273\u003c\/p\u003e \u003cp\u003eExercises 275\u003c\/p\u003e \u003cp\u003eThought Questions 277\u003c\/p\u003e \u003cp\u003eComputer Exercises 277\u003c\/p\u003e \u003cp\u003eBridge to SPSS 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Introduction to Power Analysis 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 282\u003c\/p\u003e \u003cp\u003eConcepts of Power Analysis 283\u003c\/p\u003e \u003cp\u003eThe Significance Test of the Mean of a Single Population 285\u003c\/p\u003e \u003cp\u003eThe Significance Test of the Proportion of a Single Population 290\u003c\/p\u003e \u003cp\u003eThe Significance Test of a Pearson \u003ci\u003er\u003c\/i\u003e 292\u003c\/p\u003e \u003cp\u003eTesting the Difference Between Independent Means 293\u003c\/p\u003e \u003cp\u003eTesting the Difference Between the Means of Two Matched Populations 297\u003c\/p\u003e \u003cp\u003eChoosing a Value for \u003cb\u003ed\u003c\/b\u003e for a Power Analysis Involving Independent Means 299\u003c\/p\u003e \u003cp\u003eUsing Power Analysis Concepts to Interpret the Results of Null Hypothesis Tests 301\u003c\/p\u003e \u003cp\u003eSummary 304\u003c\/p\u003e \u003cp\u003eExercises 306\u003c\/p\u003e \u003cp\u003eThought Questions 308\u003c\/p\u003e \u003cp\u003eComputer Exercises 309\u003c\/p\u003e \u003cp\u003eBridge to SPSS 310\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Analysis of Variance Methods 313\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 One-Way Analysis of Variance 315\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 317\u003c\/p\u003e \u003cp\u003eThe General Logic of ANOVA 318\u003c\/p\u003e \u003cp\u003eComputational Procedures 321\u003c\/p\u003e \u003cp\u003eTesting the \u003ci\u003eF\u003c\/i\u003e Ratio for Statistical Significance 326\u003c\/p\u003e \u003cp\u003eCalculating the One-Way ANOVA From Means and Standard Deviations 328\u003c\/p\u003e \u003cp\u003eComparing the One-Way ANOVA With the \u003ci\u003et\u003c\/i\u003e Test 329\u003c\/p\u003e \u003cp\u003eA Simplified ANOVA Formula for Equal Sample Sizes 330\u003c\/p\u003e \u003cp\u003eEffect Size for the One-Way ANOVA 331\u003c\/p\u003e \u003cp\u003eSome Comments on the Use of ANOVA 333\u003c\/p\u003e \u003cp\u003eA Nonparametric Alternative to the One-Way ANOVA: The Kruskal-Wallis \u003ci\u003eH\u003c\/i\u003e Test 336\u003c\/p\u003e \u003cp\u003eSummary 339\u003c\/p\u003e \u003cp\u003eExercises 343\u003c\/p\u003e \u003cp\u003eThought Questions 346\u003c\/p\u003e \u003cp\u003eComputer Exercises 346\u003c\/p\u003e \u003cp\u003eBridge to SPSS 346\u003c\/p\u003e \u003cp\u003eAppendix: Proof That the Total Sum of Squares Is Equal to the Sum of the Between-Group and the Within-Group Sum of Squares 348\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Multiple Comparisons 349\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 350\u003c\/p\u003e \u003cp\u003eFisher’s Protected \u003ci\u003et\u003c\/i\u003e Tests and the Least Significant Difference (LSD) 351\u003c\/p\u003e \u003cp\u003eTukey’s Honestly Significant Difference (HSD) 355\u003c\/p\u003e \u003cp\u003eOther Multiple Comparison Procedures 360\u003c\/p\u003e \u003cp\u003ePlanned and Complex Comparisons 362\u003c\/p\u003e \u003cp\u003eNonparametric Multiple Comparisons: The Protected Rank-Sum Test 365\u003c\/p\u003e \u003cp\u003eSummary 366\u003c\/p\u003e \u003cp\u003eExercises 368\u003c\/p\u003e \u003cp\u003eThought Questions 369\u003c\/p\u003e \u003cp\u003eComputer Exercises 370\u003c\/p\u003e \u003cp\u003eBridge to SPSS 370\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Introduction to Factorial Design: Two-Way Analysis of Variance 372\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 373\u003c\/p\u003e \u003cp\u003eComputational Procedures 374\u003c\/p\u003e \u003cp\u003eThe Meaning of Interaction 384\u003c\/p\u003e \u003cp\u003eFollowing Up a Significant Interaction 387\u003c\/p\u003e \u003cp\u003eMeasuring Effect Size in a Factorial ANOVA 390\u003c\/p\u003e \u003cp\u003eSummary 392\u003c\/p\u003e \u003cp\u003eExercises 395\u003c\/p\u003e \u003cp\u003eThought Questions 398\u003c\/p\u003e \u003cp\u003eComputer Exercises 399\u003c\/p\u003e \u003cp\u003eBridge to SPSS 399\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 Repeated-Measures ANOVA 402\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 403\u003c\/p\u003e \u003cp\u003eCalculating the One-Way RM ANOVA 403\u003c\/p\u003e \u003cp\u003eRationale for the RM ANOVA Error Term 408\u003c\/p\u003e \u003cp\u003eAssumptions and Other Considerations Involving the RM ANOVA 408\u003c\/p\u003e \u003cp\u003eThe RM Versus RB Design: An Introduction to the Issues of Experimental Design 411\u003c\/p\u003e \u003cp\u003eThe Two-Way Mixed Design 415\u003c\/p\u003e \u003cp\u003eSummary 423\u003c\/p\u003e \u003cp\u003eExercises 428\u003c\/p\u003e \u003cp\u003eThought Questions 430\u003c\/p\u003e \u003cp\u003eComputer Exercises 430\u003c\/p\u003e \u003cp\u003eBridge to SPSS 431\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Nonparametric Statistics for Categorical Data 435\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16 Probability of Discrete Events and the Binomial Distribution 437\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 438\u003c\/p\u003e \u003cp\u003eProbability 439\u003c\/p\u003e \u003cp\u003eThe Binomial Distribution 442\u003c\/p\u003e \u003cp\u003eThe Sign Test for Matched Samples 448\u003c\/p\u003e \u003cp\u003eSummary 450\u003c\/p\u003e \u003cp\u003eExercises 451\u003c\/p\u003e \u003cp\u003eThought Questions 453\u003c\/p\u003e \u003cp\u003eComputer Exercises 453\u003c\/p\u003e \u003cp\u003eBridge to SPSS 454\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17 Chi-Square Tests 457\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChi Square and the Goodness of Fit: One-Variable Problems 458\u003c\/p\u003e \u003cp\u003eChi Square as a Test of Independence: Two-Variable Problems 464\u003c\/p\u003e \u003cp\u003eMeasures of Strength of Association in Two-Variable Tables 470\u003c\/p\u003e \u003cp\u003eSummary 472\u003c\/p\u003e \u003cp\u003eExercises 474\u003c\/p\u003e \u003cp\u003eThought Questions 476\u003c\/p\u003e \u003cp\u003eComputer Exercises 477\u003c\/p\u003e \u003cp\u003eBridge to SPSS 478\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix 481\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStatistical Tables 483\u003c\/p\u003e \u003cp\u003eAnswers to Odd-Numbered Exercises 499\u003c\/p\u003e \u003cp\u003eData From Ihno’s Experiment 511\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGlossary of Terms 515\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eReferences 525\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex 527\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402458046807,"sku":"9780470907764","price":114.9,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470907764.jpg?v=1730480461","url":"https:\/\/bookcurl.com\/products\/introductory-statistics-for-the-behavioral-sciences-9780470907764","provider":"Book Curl","version":"1.0","type":"link"}