{"product_id":"statistics-paperback-softback-9781119254515","title":"Statistics (Paperback \/ softback) 9781119254515","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eRobert S. Witte (Author), John S. Witte (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119254515, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 16 March 2021\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e496 pages\u003cbr\u003e24.6 x 19.8 x 2.8 cm, 1.043 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\"\u003eDrawing upon over 40 years of experience, the authors of \u003cb\u003e\u003ci\u003eStatistics, 11th Edition\u003c\/i\u003e\u003c\/b\u003e provide students with a clear and methodical approach to essential statistical procedures. The text clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features an emphasis on expressions involving sums of squares and degrees of freedom as well as a strong stress on the importance of variability. This accessible approach will help students tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface iv\u003c\/p\u003e \u003cp\u003eAcknowledgments vi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Why Study Statistics? 4\u003c\/p\u003e \u003cp\u003e1.2 What Is Statistics? 4\u003c\/p\u003e \u003cp\u003e1.3 More about Inferential Statistics 6\u003c\/p\u003e \u003cp\u003e1.4 Three Types of Data 9\u003c\/p\u003e \u003cp\u003e1.5 Levels of Measurement 10\u003c\/p\u003e \u003cp\u003e1.6 Types of Variables 14\u003c\/p\u003e \u003cp\u003e1.7 How to Use This Book 19\u003c\/p\u003e \u003cp\u003eSummary 20\u003c\/p\u003e \u003cp\u003eImportant Terms 21\u003c\/p\u003e \u003cp\u003eReview Questions 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART 1 Descriptive Statistics: Organizing and Summarizing Data 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Describing Data with Tables and Graphs 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTables (Frequency Distributions) 28\u003c\/p\u003e \u003cp\u003e2.1 Frequency Distributions for Quantitative Data 28\u003c\/p\u003e \u003cp\u003e2.2 Guidelines 29\u003c\/p\u003e \u003cp\u003e2.3 Outliers 34\u003c\/p\u003e \u003cp\u003e2.4 Relative Frequency Distributions 35\u003c\/p\u003e \u003cp\u003e2.5 Cumulative Frequency Distributions 36\u003c\/p\u003e \u003cp\u003e2.6 Frequency Distributions for Qualitative (Nominal) Data 38\u003c\/p\u003e \u003cp\u003e2.7 Interpreting Distributions Constructed By Others 39\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGraphs 40\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.8 Graphs for Quantitative Data 40\u003c\/p\u003e \u003cp\u003e2.9 Typical Shapes 45\u003c\/p\u003e \u003cp\u003e2.10 A Graph for Qualitative (Nominal) Data 47\u003c\/p\u003e \u003cp\u003e2.11 Misleading Graphs 48\u003c\/p\u003e \u003cp\u003e2.12 Doing It Yourself 50\u003c\/p\u003e \u003cp\u003eSummary 50\u003c\/p\u003e \u003cp\u003eImportant Terms 52\u003c\/p\u003e \u003cp\u003eReview Questions 53\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Describing Data with Averages 59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Mode 60\u003c\/p\u003e \u003cp\u003e3.2 Median 61\u003c\/p\u003e \u003cp\u003e3.3 Mean 63\u003c\/p\u003e \u003cp\u003e3.4 Which Average? 65\u003c\/p\u003e \u003cp\u003e3.5 Averages for Qualitative and Ranked Data 68\u003c\/p\u003e \u003cp\u003eSummary 70\u003c\/p\u003e \u003cp\u003eImportant Terms 70\u003c\/p\u003e \u003cp\u003eKey Equation 71\u003c\/p\u003e \u003cp\u003eReview Questions 71\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Describing Variability 75\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Intuitive Approach 76\u003c\/p\u003e \u003cp\u003e4.2 Range 78\u003c\/p\u003e \u003cp\u003e4.3 Variance 78\u003c\/p\u003e \u003cp\u003e4.4 Standard Deviation 79\u003c\/p\u003e \u003cp\u003e4.5 Details: Standard Deviation 84\u003c\/p\u003e \u003cp\u003e4.6 Degrees Of Freedom (df ) 92\u003c\/p\u003e \u003cp\u003e4.7 Interquartile Range (IQR) 94\u003c\/p\u003e \u003cp\u003e4.8 Measures of Variability for Qualitative and Ranked Data 95\u003c\/p\u003e \u003cp\u003eSummary 95\u003c\/p\u003e \u003cp\u003eImportant Terms 96\u003c\/p\u003e \u003cp\u003eKey Equations 97\u003c\/p\u003e \u003cp\u003eReview Questions 97\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Normal Distributions and Standard (z) Scores 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 The Normal Curve 103\u003c\/p\u003e \u003cp\u003e5.2 z Scores 105\u003c\/p\u003e \u003cp\u003e5.3 Standard Normal Curve 106\u003c\/p\u003e \u003cp\u003e5.4 Solving Normal Curve Problems 109\u003c\/p\u003e \u003cp\u003e5.5 Finding Proportions 110\u003c\/p\u003e \u003cp\u003e5.6 Finding Scores 116\u003c\/p\u003e \u003cp\u003e5.7 More About z Scores 121\u003c\/p\u003e \u003cp\u003eSummary 124\u003c\/p\u003e \u003cp\u003eImportant Terms 125\u003c\/p\u003e \u003cp\u003eKey Equations 125\u003c\/p\u003e \u003cp\u003eReview Questions 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Describing Relationships: Correlation 131\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 An Intuitive Approach 132\u003c\/p\u003e \u003cp\u003e6.2 Scatterplots 134\u003c\/p\u003e \u003cp\u003e6.3 A Correlation Coefficient for Quantitative Data: R 137\u003c\/p\u003e \u003cp\u003e6.4 Details: Computation Formula for r 142\u003c\/p\u003e \u003cp\u003e6.5 Outliers Again 144\u003c\/p\u003e \u003cp\u003e6.6 Other Types of Correlation Coefficients 145\u003c\/p\u003e \u003cp\u003e6.7 Computer Output 146\u003c\/p\u003e \u003cp\u003eSummary 149\u003c\/p\u003e \u003cp\u003eImportant Terms and Symbols 150\u003c\/p\u003e \u003cp\u003eKey Equations 150\u003c\/p\u003e \u003cp\u003eReview Questions 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Regression 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Two Rough Predictions 156\u003c\/p\u003e \u003cp\u003e7.2 A Regression Line 157\u003c\/p\u003e \u003cp\u003e7.3 Least Squares Regression Line 159\u003c\/p\u003e \u003cp\u003e7.4 Standard Error of Estimate, sy|x 163\u003c\/p\u003e \u003cp\u003e7.5 Assumptions 166\u003c\/p\u003e \u003cp\u003e7.6 Interpretation of \u003ci\u003eR\u003c\/i\u003e2 167\u003c\/p\u003e \u003cp\u003e7.7 Multiple Regression Equations 172\u003c\/p\u003e \u003cp\u003e7.8 Regression Toward The Mean 172\u003c\/p\u003e \u003cp\u003eSummary 175\u003c\/p\u003e \u003cp\u003eImportant Terms 175\u003c\/p\u003e \u003cp\u003eKey Equations 175\u003c\/p\u003e \u003cp\u003eReview Exercises 176\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART 2 Inferential Statistics: Generalizing Beyond Data 179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Populations, Samples, and Probability 181\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePopulations and Samples 182\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Populations 182\u003c\/p\u003e \u003cp\u003e8.2 Samples 183\u003c\/p\u003e \u003cp\u003e8.3 Random Sampling 184\u003c\/p\u003e \u003cp\u003e8.4 Tables of Random Numbers 185\u003c\/p\u003e \u003cp\u003e8.5 Random Assignment of Subjects 186\u003c\/p\u003e \u003cp\u003e8.6 Surveys or Experiments? 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProbability 188\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.7 Definition 189\u003c\/p\u003e \u003cp\u003e8.8 Addition Rule 189\u003c\/p\u003e \u003cp\u003e8.9 Multiplication Rule 191\u003c\/p\u003e \u003cp\u003e8.10 Probability and Statistics 195\u003c\/p\u003e \u003cp\u003eSummary 197\u003c\/p\u003e \u003cp\u003eImportant Terms 197\u003c\/p\u003e \u003cp\u003eKey Equations 198\u003c\/p\u003e \u003cp\u003eReview Questions 198\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Sampling Distribution of the Mean 205\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 What Is A Sampling Distribution? 206\u003c\/p\u003e \u003cp\u003e9.2 Creating a Sampling Distribution from Scratch 207\u003c\/p\u003e \u003cp\u003e9.3 Some Important Symbols 209\u003c\/p\u003e \u003cp\u003e9.4 Mean of All Sample Means (\u003ci\u003eu\u003csub\u003eX\u003c\/sub\u003e\u003c\/i\u003e ) 211\u003c\/p\u003e \u003cp\u003e9.5 Standard Error of The Mean (\u003ci\u003eσ\u003csub\u003eX\u003c\/sub\u003e \u003c\/i\u003e) 212\u003c\/p\u003e \u003cp\u003e9.6 Shape of the Sampling Distribution 214\u003c\/p\u003e \u003cp\u003e9.7 Other Sampling Distributions 216\u003c\/p\u003e \u003cp\u003eSummary 217\u003c\/p\u003e \u003cp\u003eImportant Terms 217\u003c\/p\u003e \u003cp\u003eKey Equations 217\u003c\/p\u003e \u003cp\u003eReview Questions 218\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Introduction to Hypothesis Testing: The z Test 221\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Testing a Hypothesis about Sat Scores 222\u003c\/p\u003e \u003cp\u003e10.2 z Test for a Population Mean 224\u003c\/p\u003e \u003cp\u003e10.3 Step-By-Step Procedure 226\u003c\/p\u003e \u003cp\u003e10.4 Statement of the Research Problem 226\u003c\/p\u003e \u003cp\u003e10.5 Null Hypothesis \u003ci\u003eH\u003csub\u003e0\u003c\/sub\u003e\u003c\/i\u003e 227\u003c\/p\u003e \u003cp\u003e10.6 Alternative Hypothesis \u003ci\u003eH\u003csub\u003e1\u003c\/sub\u003e\u003c\/i\u003e 228\u003c\/p\u003e \u003cp\u003e10.7 Decision Rule 229\u003c\/p\u003e \u003cp\u003e10.8 Calculations 230\u003c\/p\u003e \u003cp\u003e10.9 Decision 230\u003c\/p\u003e \u003cp\u003e10.10 Interpretation 231\u003c\/p\u003e \u003cp\u003eSummary 232\u003c\/p\u003e \u003cp\u003eImportant Terms 233\u003c\/p\u003e \u003cp\u003eKey Equations 233\u003c\/p\u003e \u003cp\u003eReview Questions 234\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 MORE ABOUT HYPOTHESIS TESTING 237\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Why Hypothesis Tests? 238\u003c\/p\u003e \u003cp\u003e11.2 Strong or Weak Decisions 240\u003c\/p\u003e \u003cp\u003e11.3 One-Tailed and Two-Tailed Tests 241\u003c\/p\u003e \u003cp\u003e11.4 Choosing a Level of Significance α 245\u003c\/p\u003e \u003cp\u003e11.5 Testing a Hypothesis about Vitamin C 247\u003c\/p\u003e \u003cp\u003e11.6 Four Possible Outcomes 247\u003c\/p\u003e \u003cp\u003e11.7 If \u003ci\u003eH\u003csub\u003e0\u003c\/sub\u003e\u003c\/i\u003e Really Is True 250\u003c\/p\u003e \u003cp\u003e11.8 If \u003ci\u003eH\u003csub\u003e0\u003c\/sub\u003e\u003c\/i\u003e Really Is False Because of a Large Effect 251\u003c\/p\u003e \u003cp\u003e11.9 If \u003ci\u003eH\u003csub\u003e0\u003c\/sub\u003e\u003c\/i\u003e Really Is False Because of a Small Effect 254\u003c\/p\u003e \u003cp\u003e11.10 Influence of Sample Size 255\u003c\/p\u003e \u003cp\u003e11.11 Power and Sample Size 258\u003c\/p\u003e \u003cp\u003eSummary 261\u003c\/p\u003e \u003cp\u003eImportant Terms 263\u003c\/p\u003e \u003cp\u003eReview Questions 263\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Estimation (Confidence Intervals) 267\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Point Estimate for \u003ci\u003eμ \u003c\/i\u003e268\u003c\/p\u003e \u003cp\u003e12.2 Confidence Interval (CI) FOR \u003ci\u003eµ\u003c\/i\u003e 268\u003c\/p\u003e \u003cp\u003e12.3 Interpretation of a Confidence Interval 272\u003c\/p\u003e \u003cp\u003e12.4 Level of Confidence 273\u003c\/p\u003e \u003cp\u003e12.5 Effect of Sample Size 274\u003c\/p\u003e \u003cp\u003e12.6 Hypothesis Tests or Confidence Intervals? 274\u003c\/p\u003e \u003cp\u003e12.7 Confidence Interval for Population Percent 275\u003c\/p\u003e \u003cp\u003eSummary 277\u003c\/p\u003e \u003cp\u003eImportant Terms 278\u003c\/p\u003e \u003cp\u003eKey Equation 278\u003c\/p\u003e \u003cp\u003eReview Questions 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 t Test for One Sample 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Gas Mileage Investigation 282\u003c\/p\u003e \u003cp\u003e13.2 Sampling Distribution of t 282\u003c\/p\u003e \u003cp\u003e13.3 t Test 286\u003c\/p\u003e \u003cp\u003e13.4 Common Theme of Hypothesis Tests 286\u003c\/p\u003e \u003cp\u003e13.5 Reminder about Degrees of Freedom 287\u003c\/p\u003e \u003cp\u003e13.6 Details: Estimating The Standard Error (\u003ci\u003es\u003csub\u003eX\u003c\/sub\u003e\u003c\/i\u003e–) 287\u003c\/p\u003e \u003cp\u003e13.7 Details: Calculations for the t Test 288\u003c\/p\u003e \u003cp\u003e13.8 Confidence Intervals for m Based on t 290\u003c\/p\u003e \u003cp\u003e13.9 Assumptions 291\u003c\/p\u003e \u003cp\u003eSummary 291\u003c\/p\u003e \u003cp\u003eImportant Terms 292\u003c\/p\u003e \u003cp\u003eKey Equations 292\u003c\/p\u003e \u003cp\u003eReview Questions 292\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 t Test for Two Independent Samples 295\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 EPO Experiment 296\u003c\/p\u003e \u003cp\u003e14.2 Statistical Hypotheses 297\u003c\/p\u003e \u003cp\u003e14.3 Sampling Distribution \u003ci\u003eX-overbar\u003csub\u003e1\u003c\/sub\u003e – X-overbar\u003csub\u003e2\u003c\/sub\u003e \u003c\/i\u003e299\u003c\/p\u003e \u003cp\u003e14.4 t Test 301\u003c\/p\u003e \u003cp\u003e14.5 Details: Calculations for the t Test 302\u003c\/p\u003e \u003cp\u003e14.6 p-Values 306\u003c\/p\u003e \u003cp\u003e14.7 Statistically Significant Results 309\u003c\/p\u003e \u003cp\u003e14.8 Estimating Effect Size: Point Estimates and Confidence Intervals 311\u003c\/p\u003e \u003cp\u003e14.9 Estimating Effect Size: Cohen’s d 314\u003c\/p\u003e \u003cp\u003e14.10 Meta-Analysis 316\u003c\/p\u003e \u003cp\u003e14.11 Reports in the Literature 317\u003c\/p\u003e \u003cp\u003e14.12 Assumptions 319\u003c\/p\u003e \u003cp\u003e14.13 Computer Output 319\u003c\/p\u003e \u003cp\u003eSummary 320\u003c\/p\u003e \u003cp\u003eImportant Terms 321\u003c\/p\u003e \u003cp\u003eKey Equations 321\u003c\/p\u003e \u003cp\u003eReview Questions 322\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 t Test for Two Related Samples (Repeated Measures) 327\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 EPO Experiment with Repeated Measures 328\u003c\/p\u003e \u003cp\u003e15.2 Statistical Hypotheses 331\u003c\/p\u003e \u003cp\u003e15.3 Sampling Distribution of D-overbar 332\u003c\/p\u003e \u003cp\u003e15.4 t Test 332\u003c\/p\u003e \u003cp\u003e15.5 Details: Calculations for the t Test 333\u003c\/p\u003e \u003cp\u003e15.6 Estimating Effect Size 336\u003c\/p\u003e \u003cp\u003e15.7 Assumptions 338\u003c\/p\u003e \u003cp\u003e15.8 Overview: Three t Tests for Population Means 338\u003c\/p\u003e \u003cp\u003e15.9 t Test for The Population Correlation Coefficient, r 341\u003c\/p\u003e \u003cp\u003eSummary 343\u003c\/p\u003e \u003cp\u003eImportant Terms 344\u003c\/p\u003e \u003cp\u003eKey Equations 344\u003c\/p\u003e \u003cp\u003eReview Questions 345\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Analysis of Variance (One Factor) 349\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Testing a Hypothesis about Sleep Deprivation and Aggression 350\u003c\/p\u003e \u003cp\u003e16.2 Two Sources of Variability 352\u003c\/p\u003e \u003cp\u003e16.3 F Test 354\u003c\/p\u003e \u003cp\u003e16.4 Details: Variance Estimates 356\u003c\/p\u003e \u003cp\u003e16.5 Details: Mean Squares (MS) and the F Ratio 362\u003c\/p\u003e \u003cp\u003e16.6 Table for the F Distribution 364\u003c\/p\u003e \u003cp\u003e16.7 ANOVA Summary Tables 365\u003c\/p\u003e \u003cp\u003e16.8 F Test Is Nondirectional 367\u003c\/p\u003e \u003cp\u003e16.9 Estimating Effect Size 367\u003c\/p\u003e \u003cp\u003e16.10 Multiple Comparisons 370\u003c\/p\u003e \u003cp\u003e16.11 Overview: Flow Chart for ANOVA 374\u003c\/p\u003e \u003cp\u003e16.12 Reports in the Literature 374\u003c\/p\u003e \u003cp\u003e16.13 Assumptions 376\u003c\/p\u003e \u003cp\u003e16.14 Computer Output 376\u003c\/p\u003e \u003cp\u003eSummary 376\u003c\/p\u003e \u003cp\u003eImportant Terms 378\u003c\/p\u003e \u003cp\u003eKey Equations 378\u003c\/p\u003e \u003cp\u003eReview Questions 378\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Analysis of Variance (Repeated Measures) 383\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17.1 Sleep Deprivation Experiment with Repeated Measures 384\u003c\/p\u003e \u003cp\u003e17.2 F Test 385\u003c\/p\u003e \u003cp\u003e17.3 Two Complications 387\u003c\/p\u003e \u003cp\u003e17.4 Details: Variance Estimates 387\u003c\/p\u003e \u003cp\u003e17.5 Details: Mean Square (MS) and the F Ratio 391\u003c\/p\u003e \u003cp\u003e17.6 Table for F Distribution 393\u003c\/p\u003e \u003cp\u003e17.7 ANOVA Summary Tables 393\u003c\/p\u003e \u003cp\u003e17.8 Estimating Effect Size 395\u003c\/p\u003e \u003cp\u003e17.9 Multiple Comparisons 396\u003c\/p\u003e \u003cp\u003e17.10 Reports in the Literature 398\u003c\/p\u003e \u003cp\u003e17.11 Assumptions 399\u003c\/p\u003e \u003cp\u003eSummary 399\u003c\/p\u003e \u003cp\u003eImportant Terms 400\u003c\/p\u003e \u003cp\u003eKey Equations 400\u003c\/p\u003e \u003cp\u003eReview Questions 400\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Analysis of Variance (Two Factors) 405\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18.1 A Two-Factor Experiment: Responsibility in Crowds 406\u003c\/p\u003e \u003cp\u003e18.2 Three F Tests 409\u003c\/p\u003e \u003cp\u003e18.3 Interaction 410\u003c\/p\u003e \u003cp\u003e18.4 Details: Variance Estimates 414\u003c\/p\u003e \u003cp\u003e18.5 Details: Mean Squares (MS) and F Ratios 418\u003c\/p\u003e \u003cp\u003e18.6 Table for the F Distribution 420\u003c\/p\u003e \u003cp\u003e18.7 Estimating Effect Size 420\u003c\/p\u003e \u003cp\u003e18.8 Multiple Comparisons 421\u003c\/p\u003e \u003cp\u003e18.9 Simple Effects 422\u003c\/p\u003e \u003cp\u003e18.10 Overview: Flow Chart for Two-Factor ANOVA 426\u003c\/p\u003e \u003cp\u003e18.11 Reports in the Literature 427\u003c\/p\u003e \u003cp\u003e18.12 Assumptions 428\u003c\/p\u003e \u003cp\u003e18.13 Other Types of ANOVA 428\u003c\/p\u003e \u003cp\u003eSummary 429\u003c\/p\u003e \u003cp\u003eImportant Terms 429\u003c\/p\u003e \u003cp\u003eKey Equations 429\u003c\/p\u003e \u003cp\u003eReview Questions 430\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Chi-Square (\u003ci\u003eX2\u003c\/i\u003e) Test For Qualitative (Nominal) Data 435\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eOne-Variable \u003ci\u003eX2\u003c\/i\u003e Test 436\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19.1 Survey of Blood Types 436\u003c\/p\u003e \u003cp\u003e19.2 Statistical Hypotheses 436\u003c\/p\u003e \u003cp\u003e19.3 Details: Calculating \u003ci\u003eX2\u003c\/i\u003e 437\u003c\/p\u003e \u003cp\u003e19.4 Table for the \u003ci\u003eX2\u003c\/i\u003e Distribution 440\u003c\/p\u003e \u003cp\u003e19.5 \u003ci\u003eX2\u003c\/i\u003e Test 440\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTwo-Variable \u003ci\u003eX2\u003c\/i\u003e Test 443\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19.6 Lost Letter Study 443\u003c\/p\u003e \u003cp\u003e19.7 Statistical Hypotheses 444\u003c\/p\u003e \u003cp\u003e19.8 Details: Calculating \u003ci\u003eX2\u003c\/i\u003e 445\u003c\/p\u003e \u003cp\u003e19.9 Table for The \u003ci\u003eX2\u003c\/i\u003e Distribution 446\u003c\/p\u003e \u003cp\u003e19.10 \u003ci\u003eX2\u003c\/i\u003e Test 448\u003c\/p\u003e \u003cp\u003e19.11 Estimating Effect Size 449\u003c\/p\u003e \u003cp\u003e19.12 Odds Ratios 450\u003c\/p\u003e \u003cp\u003e19.13 Reports in the Literature 452\u003c\/p\u003e \u003cp\u003e19.14 Some Precautions 453\u003c\/p\u003e \u003cp\u003e19.15 Computer Output 454\u003c\/p\u003e \u003cp\u003eSummary 455\u003c\/p\u003e \u003cp\u003eImportant Terms 455\u003c\/p\u003e \u003cp\u003eKey Equations 455\u003c\/p\u003e \u003cp\u003eReview Questions 456\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Tests for Ranked (Ordinal) Data 461\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e20.1 Use Only When Appropriate 462\u003c\/p\u003e \u003cp\u003e20.2 A Note on Terminology 462\u003c\/p\u003e \u003cp\u003e20.3 Mann-Whitney U Test (Two Independent Samples) 463\u003c\/p\u003e \u003cp\u003e20.4 Wilcoxon T Test (Two Related Samples) 468\u003c\/p\u003e \u003cp\u003e20.5 Kruskal-Wallis H Test (Three or More Independent Samples) 472\u003c\/p\u003e \u003cp\u003e20.6 General Comment: Ties 476\u003c\/p\u003e \u003cp\u003eSummary 476\u003c\/p\u003e \u003cp\u003eImportant Terms 477\u003c\/p\u003e \u003cp\u003eReview Questions 477\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Postscript: Which Test? 481\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21.1 Descriptive or Inferential Statistics? 482\u003c\/p\u003e \u003cp\u003e21.2 Hypothesis Tests or Confidence Intervals? 482\u003c\/p\u003e \u003cp\u003e21.3 Quantitative or Qualitative Data? 483\u003c\/p\u003e \u003cp\u003e21.4 Distinguishing Between the Two Types of Data 484\u003c\/p\u003e \u003cp\u003e21.5 One, Two, or More Groups? 485\u003c\/p\u003e \u003cp\u003e21.6 Concluding Comments 486\u003c\/p\u003e \u003cp\u003eReview Questions 486\u003c\/p\u003e \u003cp\u003eAppendices 489\u003c\/p\u003e \u003cp\u003eA Math Review 489\u003c\/p\u003e \u003cp\u003eB Answers to Selected Questions 497\u003c\/p\u003e \u003cp\u003eC Tables 535\u003c\/p\u003e \u003cp\u003eD Glossary 549\u003c\/p\u003e \u003cp\u003ePhoto Credits 555\u003cbr\u003e\u003cbr\u003eIndex 556\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Psychology [\u003ca title=\"See our other books on Psychology\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Psychology%20%5BJM%5D%22\"\u003eJM\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":52472146755864,"sku":"9781119254515","price":78.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119254515.jpg?v=1785718848","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/statistics-paperback-softback-9781119254515","provider":"Freshly Printed Books","version":"1.0","type":"link"}