{"product_id":"introductory-statistics-for-the-behavioral-sciences-isbn-9781394234738","title":"Introductory Statistics for the Behavioral Sciences","description":"\u003cp\u003e\u003cb\u003eThe accessible, hands-on statistics textbook that behavioral science students and instructors trust \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eIntroductory Statistics for the Behavioral Sciences\u003c\/i\u003e is a respected, practical textbook that offers carefully crafted exercises to support the teaching and learning of statistics. This revised eighth edition presents all the topics students in the behavioral sciences need in a uniquely accessible format, making statistics feel relevant and approachable. With fictitious yet realistic examples that reappear throughout the chapter, students can follow a continuous narrative that helps them engage with and internalize the content. \u003c\/p\u003e\u003cp\u003eUser-friendly integration with SPSS software enables readers to gain hands-on experience with the application of theoretical concepts. Exercises at the end of each chapter, with additional practice in the online study guide, give students the repetition they need to fully comprehend the material. After working through this textbook, students will understand, not only the what, but also the why of statistical analysis. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eGet plain-English explanations of statistical concepts and procedures important in behavioral sciences research\u003c\/li\u003e \u003cli\u003eLearn from relatable examples and exercises focused on psychology, sociology, and other behavioral science\u003c\/li\u003e \u003cli\u003eWork through well-crafted exercises designed to enhance your understanding of the material\u003c\/li\u003e \u003cli\u003eGet clear instructions on how to perform statistical procedures with the industry-standard SPSS software\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eOnline resources for instructors include a test bank, chapter quizzes, and PowerPoint slides. \u003ci\u003eIntroductory Statistics for the Behavioral Sciences\u003c\/i\u003e also includes a student website containing additional basic math coverage, math review exercises, a study guide, a set of additional SPSS exercises, and downloadable data sets. \u003c\/p\u003e\u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003eGlossary of Symbols xvii\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 5\u003c\/p\u003e \u003cp\u003eMeasurement Scales 6\u003c\/p\u003e \u003cp\u003eIndependent and Dependent Variables 8\u003c\/p\u003e \u003cp\u003eSummation Notation 10\u003c\/p\u003e \u003cp\u003eJackson’s Study 14\u003c\/p\u003e \u003cp\u003eSummary 15\u003c\/p\u003e \u003cp\u003eExercises 16\u003c\/p\u003e \u003cp\u003eThought Questions 19\u003c\/p\u003e \u003cp\u003eComputer Exercises 19\u003c\/p\u003e \u003cp\u003eBridge to SPSS 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Frequency Distributions and Graphs 22\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePurpose of Descriptive Statistics 23\u003c\/p\u003e \u003cp\u003eRegular Frequency Distributions 23\u003c\/p\u003e \u003cp\u003eCumulative Frequency Distributions 25\u003c\/p\u003e \u003cp\u003eGrouped Frequency Distributions 27\u003c\/p\u003e \u003cp\u003eReal and Apparent Limits 28\u003c\/p\u003e \u003cp\u003eGraphic Representations 29\u003c\/p\u003e \u003cp\u003eSkewing of Frequency Distributions 32\u003c\/p\u003e \u003cp\u003eSummary 34\u003c\/p\u003e \u003cp\u003eExercises 35\u003c\/p\u003e \u003cp\u003eThought Questions 36\u003c\/p\u003e \u003cp\u003eComputer Exercises 37\u003c\/p\u003e \u003cp\u003eBridge to SPSS 37\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Measures of Central Tendency and Variability 40\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 41\u003c\/p\u003e \u003cp\u003eThe Mode 42\u003c\/p\u003e \u003cp\u003eThe Median 43\u003c\/p\u003e \u003cp\u003eThe Mean 44\u003c\/p\u003e \u003cp\u003eThe Concept of Variability 47\u003c\/p\u003e \u003cp\u003eThe Range 49\u003c\/p\u003e \u003cp\u003eThe Standard Deviation and Variance 50\u003c\/p\u003e \u003cp\u003eSummary 55\u003c\/p\u003e \u003cp\u003eExercises 57\u003c\/p\u003e \u003cp\u003eThought Questions 58\u003c\/p\u003e \u003cp\u003eComputer Exercises 58\u003c\/p\u003e \u003cp\u003eBridge to SPSS 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Standardized Scores and the Normal Distribution 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInterpreting a Raw Score Revisited 62\u003c\/p\u003e \u003cp\u003eRules for Changing μ and σ 63\u003c\/p\u003e \u003cp\u003eStandard Scores (z-Scores) 64\u003cbr\u003e \u003ci\u003eT Scores, SAT Scores, and IQ Scores 67\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eThe Normal Distribution 68\u003c\/p\u003e \u003cp\u003eTable of the Standard Normal Distribution 70\u003c\/p\u003e \u003cp\u003eIllustrative Examples 71\u003c\/p\u003e \u003cp\u003eSummary 77\u003c\/p\u003e \u003cp\u003eExercises 78\u003c\/p\u003e \u003cp\u003eThought Questions 80\u003c\/p\u003e \u003cp\u003eComputer Exercises 80\u003c\/p\u003e \u003cp\u003eBridge to SPSS 81\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Basic Inferential Statistics 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Introduction to Statistical Inference 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 86\u003c\/p\u003e \u003cp\u003eThe Goals of Inferential Statistics 87\u003c\/p\u003e \u003cp\u003eSampling Distributions 87\u003c\/p\u003e \u003cp\u003eThe Standard Error of the Mean 93\u003c\/p\u003e \u003cp\u003eThe z-Score for Sample Means 95\u003c\/p\u003e \u003cp\u003eNull Hypothesis Testing 96\u003c\/p\u003e \u003cp\u003eAssumptions Required by the Statistical Test for the Mean of a Single Population 103\u003c\/p\u003e \u003cp\u003eWhy is Null Hypothesis Testing So Misunderstood? 104\u003c\/p\u003e \u003cp\u003eSummary 105\u003c\/p\u003e \u003cp\u003eExercises 107\u003c\/p\u003e \u003cp\u003eThought Questions 108\u003c\/p\u003e \u003cp\u003eComputer Exercises 108\u003c\/p\u003e \u003cp\u003eBridge to SPSS 109\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 One-Sample t Test and Interval Estimation 110\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 110\u003c\/p\u003e \u003cp\u003eStatistical Test for the Mean of a Single Population When σ Is Not Known: The t Distributions 111\u003c\/p\u003e \u003cp\u003eInterval Estimation 115\u003c\/p\u003e \u003cp\u003eComputation 116\u003c\/p\u003e \u003cp\u003eWorking with Proportions 118\u003c\/p\u003e \u003cp\u003eSummary 121\u003c\/p\u003e \u003cp\u003eExercises 122\u003c\/p\u003e \u003cp\u003eThought Questions 123\u003c\/p\u003e \u003cp\u003eComputer Exercises 123\u003c\/p\u003e \u003cp\u003eBridge to SPSS 124\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Testing Hypotheses About the Difference Between the Means of Two Populations 126\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Standard Error of the Difference 127\u003c\/p\u003e \u003cp\u003eEstimating the Standard Error of the Difference 130\u003c\/p\u003e \u003cp\u003eThe t Test for Two Independent Sample Means 131\u003c\/p\u003e \u003cp\u003eConfidence Intervals for μ 1 − μ 2 135\u003c\/p\u003e \u003cp\u003eMeasuring the Size of an Effect for a Difference Between Two Independent Samples 136\u003c\/p\u003e \u003cp\u003eReporting the Results of a t Test with a CI and a Measure of Effect Size 137\u003c\/p\u003e \u003cp\u003eThe Assumptions Underlying the Proper Use of the t Test for Two Sample Means 138\u003c\/p\u003e \u003cp\u003eThe t Test for Matched Samples 140\u003c\/p\u003e \u003cp\u003eSummary 146\u003c\/p\u003e \u003cp\u003eExercises 148\u003c\/p\u003e \u003cp\u003eThought Questions 150\u003c\/p\u003e \u003cp\u003eComputer Exercises 151\u003c\/p\u003e \u003cp\u003eBridge to SPSS 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Nonparametric Tests for the Difference Between Two Means 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 156\u003c\/p\u003e \u003cp\u003eThe Difference Between the Locations of Two Independent Samples: The Rank-Sum Test 159\u003c\/p\u003e \u003cp\u003eThe Difference Between the Locations of Two Matched Samples: The Wilcoxon Test 163\u003c\/p\u003e \u003cp\u003eSummary 167\u003c\/p\u003e \u003cp\u003eExercises 169\u003c\/p\u003e \u003cp\u003eThought Questions 172\u003c\/p\u003e \u003cp\u003eComputer Exercises 172\u003c\/p\u003e \u003cp\u003eBridge to SPSS 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Linear Correlation 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 176\u003c\/p\u003e \u003cp\u003eDescribing the Linear Relationship Between Two Variables 178\u003c\/p\u003e \u003cp\u003eInterpreting the Magnitude of a Pearson r 184\u003c\/p\u003e \u003cp\u003eWhen Is It Important That Pearson’s r Be Large? 190\u003c\/p\u003e \u003cp\u003eTesting the Significance of the Correlation Coefficient 191\u003c\/p\u003e \u003cp\u003eThe Relationship Between Two Ranked Variables: The Spearman Rank-Order Correlation Coefficient 192\u003c\/p\u003e \u003cp\u003eSummary 195\u003c\/p\u003e \u003cp\u003eExercises 196\u003c\/p\u003e \u003cp\u003eThought Questions 199\u003c\/p\u003e \u003cp\u003eComputer Exercises 200\u003c\/p\u003e \u003cp\u003eBridge to SPSS 200\u003c\/p\u003e \u003cp\u003eAppendix: Equivalence of the Various Formulas for r 203\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Prediction and Linear Regression 205\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 206\u003c\/p\u003e \u003cp\u003eUsing Linear Regression to Make Predictions 206\u003c\/p\u003e \u003cp\u003eMeasuring Prediction Error: The Standard Error of Estimate 212\u003c\/p\u003e \u003cp\u003eThe Connection Between Correlation and the t Test 214\u003c\/p\u003e \u003cp\u003eEstimating the Proportion of Variance Accounted for in the Population 219\u003c\/p\u003e \u003cp\u003eSummary 220\u003c\/p\u003e \u003cp\u003eExercises 222\u003c\/p\u003e \u003cp\u003eThought Questions 224\u003c\/p\u003e \u003cp\u003eComputer Exercises 224\u003c\/p\u003e \u003cp\u003eBridge to SPSS 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Introduction to Power Analysis 228\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 229\u003c\/p\u003e \u003cp\u003eConcepts of Power Analysis 230\u003c\/p\u003e \u003cp\u003ePower Analysis for the Mean of a Single Population 231\u003c\/p\u003e \u003cp\u003ePower Analysis for the Proportion of a Single Population 235\u003c\/p\u003e \u003cp\u003ePower Analysis for a Pearson r 236\u003c\/p\u003e \u003cp\u003ePower Analysis for the Difference Between Independent Means 237\u003c\/p\u003e \u003cp\u003ePower Analysis for the Difference Between the Means of Two Matched Populations 241\u003c\/p\u003e \u003cp\u003eChoosing a Value for d for a Power Analysis Involving Independent Means 242\u003c\/p\u003e \u003cp\u003eUsing Power Analysis Concepts to Interpret the Results of Null Hypothesis Tests 243\u003c\/p\u003e \u003cp\u003eThe Null Hypothesis Testing Controversy Revisited 244\u003c\/p\u003e \u003cp\u003eSummary 245\u003c\/p\u003e \u003cp\u003eExercises 248\u003c\/p\u003e \u003cp\u003eThought Questions 250\u003c\/p\u003e \u003cp\u003eComputer Exercises 250\u003c\/p\u003e \u003cp\u003eBridge to SPSS 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Beyond Traditional Null Hypothesis Testing 254\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMore on Criticisms of NHT (and Some Rebuttals) 254\u003c\/p\u003e \u003cp\u003eImproving NHT with Robust Statistics 257\u003c\/p\u003e \u003cp\u003ep Hacking, HARKing, and the “File Drawer Problem” 260\u003c\/p\u003e \u003cp\u003eThe Replication Crisis in Psychological Research and Possible Solutions 262\u003c\/p\u003e \u003cp\u003eAlternatives to NHT (The “New” Statistics) 264\u003c\/p\u003e \u003cp\u003eSummary 266\u003c\/p\u003e \u003cp\u003eThought Questions 267\u003c\/p\u003e \u003cp\u003eAppendix: A Brief Introduction to the Use of Bayesian Statistics 268\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Analysis of Variance Methods 271\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 One-Way Analysis of Variance 273\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 274\u003c\/p\u003e \u003cp\u003eThe General Logic of ANOVA 275\u003c\/p\u003e \u003cp\u003eComputational Procedures 278\u003c\/p\u003e \u003cp\u003eTesting the F Ratio for Statistical Significance 281\u003c\/p\u003e \u003cp\u003eCalculating the One-Way ANOVA From Means and Standard Deviations 282\u003c\/p\u003e \u003cp\u003eComparing the One-Way ANOVA With the t Test 284\u003c\/p\u003e \u003cp\u003eA Simplified ANOVA Formula for Equal Sample Sizes 284\u003c\/p\u003e \u003cp\u003eEffect Size for the One-Way ANOVA 285\u003c\/p\u003e \u003cp\u003eSome Comments on the Use of ANOVA 287\u003c\/p\u003e \u003cp\u003eA Nonparametric Alternative to the One-Way ANOVA: The Kruskal–Wallis H Test 289\u003c\/p\u003e \u003cp\u003eSummary 291\u003c\/p\u003e \u003cp\u003eExercises 294\u003c\/p\u003e \u003cp\u003eThought Questions 297\u003c\/p\u003e \u003cp\u003eComputer Exercises 297\u003c\/p\u003e \u003cp\u003eBridge to SPSS 297\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 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Multiple Comparisons 302\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 303\u003c\/p\u003e \u003cp\u003eFisher’s Protected t Tests and the Least Significant Difference (LSD) 303\u003c\/p\u003e \u003cp\u003eTukey’s Honestly Significant Difference (HSD) 307\u003c\/p\u003e \u003cp\u003eOther Multiple Comparison Procedures 310\u003c\/p\u003e \u003cp\u003ePlanned and Complex Comparisons 311\u003c\/p\u003e \u003cp\u003eNonparametric Multiple Comparisons: The Protected Rank-Sum Test 313\u003c\/p\u003e \u003cp\u003eSummary 314\u003c\/p\u003e \u003cp\u003eExercises 315\u003c\/p\u003e \u003cp\u003eThought Questions 316\u003c\/p\u003e \u003cp\u003eComputer Exercises 316\u003c\/p\u003e \u003cp\u003eBridge to SPSS 317\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 Introduction to Factorial Design: Two-Way Analysis of Variance 319\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 320\u003c\/p\u003e \u003cp\u003eComputational Procedures 321\u003c\/p\u003e \u003cp\u003eThe Meaning of Interaction 328\u003c\/p\u003e \u003cp\u003eFollowing Up on a Significant Interaction 330\u003c\/p\u003e \u003cp\u003eMeasuring Effect Size in a Factorial ANOVA 332\u003c\/p\u003e \u003cp\u003eSummary 333\u003c\/p\u003e \u003cp\u003eExercises 337\u003c\/p\u003e \u003cp\u003eThought Questions 339\u003c\/p\u003e \u003cp\u003eComputer Exercises 339\u003c\/p\u003e \u003cp\u003eBridge to SPSS 340\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16 Repeated-Measures ANOVA 344\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 345\u003c\/p\u003e \u003cp\u003eCalculating the One-Way RM ANOVA 345\u003c\/p\u003e \u003cp\u003eRationale for the RM ANOVA Error Term 348\u003c\/p\u003e \u003cp\u003eAssumptions and Other Considerations Involving the RM ANOVA 349\u003c\/p\u003e \u003cp\u003eThe RM Versus RB Design: An Introduction to the Issues of Experimental Design 351\u003c\/p\u003e \u003cp\u003eThe Two-Way Mixed Design 354\u003c\/p\u003e \u003cp\u003eSummary 359\u003c\/p\u003e \u003cp\u003eExercises 363\u003c\/p\u003e \u003cp\u003eThought Questions 365\u003c\/p\u003e \u003cp\u003eComputer Exercises 365\u003c\/p\u003e \u003cp\u003eBridge to SPSS 365\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Nonparametric Statistics for Categorical Data 371\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17 Probability of Discrete Events and the Binomial Distribution 373\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 373\u003c\/p\u003e \u003cp\u003eProbability 374\u003c\/p\u003e \u003cp\u003eThe Binomial Distribution 377\u003c\/p\u003e \u003cp\u003eThe Sign Test for Matched Samples 381\u003c\/p\u003e \u003cp\u003eSummary 382\u003c\/p\u003e \u003cp\u003eExercises 383\u003c\/p\u003e \u003cp\u003eExercises 385\u003c\/p\u003e \u003cp\u003eComputer Exercises 385\u003c\/p\u003e \u003cp\u003eBridge to SPSS 385\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18 Chi-Square Tests 389\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 389\u003c\/p\u003e \u003cp\u003eChi-Square and the Goodness of Fit: One-Variable Problems 390\u003c\/p\u003e \u003cp\u003eChi-Square as a Test of Independence: Two-Variable Problems 394\u003c\/p\u003e \u003cp\u003eMeasures of Strength of Association in Two-Variable Tables 399\u003c\/p\u003e \u003cp\u003eSummary 401\u003c\/p\u003e \u003cp\u003eExercises 402\u003c\/p\u003e \u003cp\u003eThought Questions 404\u003c\/p\u003e \u003cp\u003eComputer Exercises 404\u003c\/p\u003e \u003cp\u003eBridge to SPSS 405\u003c\/p\u003e \u003cp\u003eAppendix 409\u003c\/p\u003e \u003cp\u003eStatistical Tables 411\u003c\/p\u003e \u003cp\u003eAnswer Key 426\u003c\/p\u003e \u003cp\u003eData from Jackson’s Experiment 434\u003c\/p\u003e \u003cp\u003eGlossary of Terms 435\u003c\/p\u003e \u003cp\u003eReferences 444\u003c\/p\u003e \u003cp\u003eIndex 000\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eR. BROOKE LEA, PhD,\u003c\/b\u003e is DeWitt Wallace Professor of Psychology and Director of Cognitive Science at Macalester College in Saint Paul, MN, where he has taught psychological statistics for more than 25 years. He is a cognitive psychologist who studies reasoning and language processing, with a special interest in the role that poetic devices—such as rhyme, alliteration, and meter—play in the comprehension of poetry. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eBARRY H. COHEN, Ph.D.\u003c\/b\u003e earned a B.S. in Physics and a Ph.D in experimental psychology. Until his retirement, he was the director of the MA program in psychology at NYU, and taught statistics and research design at the graduate level there for more than 30 years. He is now spending his active retirement by collaborating on meditation research.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAn approachable, hands-on exploration of statistical concepts, tailored for behavioral science research\u003c\/b\u003e     \u003c\/p\u003e\u003cp\u003eFor students in psychology, sociology, and other behavioral sciences, statistics can be daunting. \u003ci\u003eIntroductory Statistics for the Behavioral Sciences\u003c\/i\u003e sets students’ minds at ease, explaining important concepts and equations in easy-to-understand terms. Using a continuous narrative that explains statistics and tracks a common data set throughout, the authors have developed an innovative approach that makes the material unintimidating and memorable, providing a framework that connects statistical topics and allows for easy comparison of different analyses. The book also provides ample practice opportunities, with and without the use of SPSS statistical software.     \u003c\/p\u003e\u003cp\u003eEach chapter features: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA summary, condensing the main points of the chapter for easy reference\u003c\/li\u003e\n\u003cli\u003eExercises allowing students to practice applying the computational procedures they’ve learned\u003c\/li\u003e\n\u003cli\u003e“Thought questions” encouraging students to define key concepts and consider the “why” behind statistics procedures\u003c\/li\u003e\n\u003cli\u003eComputer exercises that incorporate a sample dataset and give students hands-on experience studying a relatable scenario\u003c\/li\u003e\n\u003cli\u003eBridge to SPSS sections that give step-by-step explanations of how to perform the chapter’s statistical procedures\u003c\/li\u003e\n\u003cli\u003eSupplementary materials on the book’s website that include Bridge to R sections that provide detailed explanations for how to perform the chapter’s statistical procedures using RStudio\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eBehavioral science instructors and students looking for an engaging, accessible introduction to statistics need look no further than the Eighth Edition of \u003ci\u003eIntroductory Statistics for the Behavioral Sciences\u003c\/i\u003e.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989470789861,"sku":"NP9781394234738","price":107.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394234738.jpg?v=1761784231","url":"https:\/\/k12savings.com\/es\/products\/introductory-statistics-for-the-behavioral-sciences-isbn-9781394234738","provider":"K12savings","version":"1.0","type":"link"}