Verfügbarkeit: Statistics for people who (think they) hate statistics

Statistics for people who (think they) hate statistics:

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Bibliographische Detailangaben
Beteilige Person:	Salkind, Neil J. 1947-2017 (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Thousand Oaks, Calif. [u.a.] Sage Publ. 2011
Ausgabe:	4. ed.
Schlagwörter:	Soziologie Alternative Medizin Statistik Aufsatzsammlung
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=021186132&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	XXIII, 442 S. Ill., graph. Darst.
ISBN:	9781412979597 9781412979603

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Datensatz im Suchindex

DE-BY-TUM_call_number	0003 MAT 620f 2012 L 667(4) 0004 MAT 620f 2012 A 5502(4)
DE-BY-TUM_katkey	1865844
DE-BY-TUM_location	00
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adam_text	A Note to the Student: Why I Wrote This Book xvii Acknowledgments xix And Now, About the Fourth Edition xxi About the Author xxiii PARTI Yippee! I m in Statistics 1 1. Statistics or Sadistice? It s Up to You 5 Why Statistics? 5 A Five-Minute History of Statistics 6 Statistics: What It Is (and Isn t) 7 What Are Descriptive Statistics? 8 What Are Inferential Statistics? 9 In Other Words . . . 10 What Am I Doing in a Statistics Class? 10 Ten Ways to Use This Book (and Learn Statistics at the Same Time!) 11 About Those Icons 14 Key to Difficulty Index 15 Glossary 15 Summary 15 Time to Practice 15 РАЯТ if Xigma Freud and Descriptive Statistics 17 2. Means to an End: Computing and Understanding Averages 19 Computing the Mean 20 Things to Remember 21 Computing a Weighted Mean 22 Computing the Median Things to Remember Computing the Mode Apple Pie à la Bimodal When to Use What Using the Computer and Computing Descriptive Statistics The SPSS Output Summary Time to Practice 3. Vive la Différence: Understanding Variability Why Understanding Variability Is Important Computing the Range Computing the Standard Deviation Why η -l? What s Wrong With Just n? What s the Big Deal? Things to Remember Computing the Variance The Standard Deviation Versus the Variance Using the Computer to Compute Measures of Variability The SPSS Output Summary Time to Practice 4. A Picture Really Is Worth a Thousand Words Why Illustrate Data? Ten Ways to a Great Figure (Eat Less and Exercise More?) First Things First: Creating a Frequency Distribution The Classiest of Intervals The Plot Thickens: Creating a Histogram The Tally -Но Method The Next Step: A Frequency Polygon Cumulating Frequencies Fat and Skinny Frequency Distributions Average Value Variability Skewness Kurtosis Other Cool Ways to Chart Data Column Charts Bar Charts Line Charts Pie Charts 24 27 27 29 29 30 32 33 33 37 37 38 39 43 44 44 44 45 46 47 48 48 51 51 52 52 54 54 56 57 59 60 61 61 61 63 65 65Í 66? 66\| 67\| Using the Computer (SPSS, That Is) to Illustrate Data 67 Creating a Histogram Graph 68 Creating a Bar Graph 70 Creating a Line Graph 71 Creating a Pie Chart 72 Summary 73 Time to Practice 74 5. Ice Cream and Crime: Computing Correlation Coefficients 77 What Are Correlations All About? 77 Types of Correlation Coefficients: Flavor 1 and Flavor 2 78 Things to Remember 79 Computing a Simple Correlation Coefficient 80 A Visual Picture of a Correlation: The Scatterplot 83 Bunches of Correlations: The Correlation Matrix 87 Understanding What the Correlation Coefficient Means 88 Using-Your-Thumb Rule 88 A Determined Effort: Squaring the Correlation Coefficient 89 As More Ice Cream Is Eaten . . . the Crime Rate Goes Up (or Association vs. Causality) 90 Other Cool Correlations 91 Using the Computer to Compute a Correlation Coefficient 92 The SPSS Output 94 Creating an SPSS Scatterplot (or Scattergram or Whatever) 94 Summary 96 Time to Practice 96 6. Just the Truth: An Introduction to Understanding Reliability and Validity 101 An Introduction to Reliability and Validity 101 What s Up With This Measurement Stuff? 102 All About Measurement Scales 103 A Rose by Any Other Name: The Nominal Level of Measurement 104 Any Order Is Fine With Me: The Ordinal Level of Measurement 104 1 + 1 = 2: The Interval Level of Measurement 104 Can Anyone Have Nothing of Anything? The Ratio Level of Measurement 105 In Sum . . . Reliability — Doing It Again Until You Get It Right Test Scores — Truth or Dare Observed Score = True Score + Error Score Different Types of Reliability Using the Computer to Calculate Cronbach s Alpha What the SPSS Output Means How Big Is Big? Finally: Interpreting Reliability Coefficients And if You Can t Establish Reliability . . . Then What? Just One More Thing Validity—Whoa! What Is the Truth? Different Types of Validity A Last Friendly Word Validity and Reliability: Really Close Cousins Summary Time to Practice - - PART Ш 105 106 106 106 107 113 115 116 116 117 117 118 121 122 123 123 Taking Chances for Fun and Profit 7. Hypotheticals and You: Testing Your Questions So You Want to Be a Scientist . . . Samples and Populations The Null Hypothesis The Purposes of the Null Hypothesis The Research Hypothesis The Nondirectional Research Hypothesis The Directional Research Hypothesis Some Differences Between the Null Hypothesis and the Research Hypothesis What Makes a Good Hypothesis? Summary Time to Practice 8. Are Your Curves Normal? Probability and Why It Counts Why Probability? The Normal Curve (a.k.a. the Bell-Shaped Curve) Hey, That s Not Normal! More Normal Curve 101 125 127 127 128 129 129 131 132 132 135 136 138 138 141 141 142 143 144 Our Favorite Standard Score: The z Score What z Scores Represent What z Scores Really Represent Hypothesis Testing and z Scores: The First Step Using the Computer to Compute z Scores Summary Time to Practice PARTfV Significantly Different: Using Inferential Statistics 9. Significantly Significant: What It Means for You and Me The Concept of Significance If Only We Were Perfect The World s Most Important Table (for This Semester Only) More About Table 9.1 Back to Type I Errors Significance Versus Meaningfulness An Introduction to Inferential Statistics How Inference Works How to Select What Test to Use Here s How to Use the Chart An Introduction to Tests of Significance How a Test of Significance Works: The Plan Here s the Picture That s Worth a Thousand Words Be Even More Confident Summary Time to Practice 10. Only the Lonely: The One Sample 2 Test Introduction to the One-Sample Z Test The Path to Wisdom and Knowledge Computing the Test Statistic So How Do I Interpret z = 2.38, ρ < .05? Summary Time to Practice 11. t(ea) for Two: Tests Between the Means of Different Groups Introduction to the t Test for Independent Samples The Path to Wisdom and Knowledge Computing the Test Statistic 148 151 155 157 157 158 158 161 163 163 164 166 167 168 170 171 172 172 173 175 175 177 178 179 179 181 181 182 182 187 187 188 189 189 190 192 So How Do I Interpret t(58) = -.18, ρ > .05? Special Effects: Are Those Differences for Real? Computing and Understanding the Effect Size A Very Cool Effect Size Calculator Using the Computer to Perform a t Test What the SPSS Output Means Summary Time to Practice 12. t(ea) for Two (Again): Tests Between the Means of Related Groups Introduction to the t Test for Dependent Samples The Path to Wisdom and Knowledge Computing the Test Statistic So How Do I Interpret t(24) = 2.45, p < .05? Using the Computer to Perform a t Test What the SPSS Output Means Summary Time to Practice 13. Two Groups Too Many? Try Analysis of Variance Introduction to Analysis of Variance The Path to Wisdom and Knowledge Different Flavors of ANOVA Computing the F Test Statistic So How Do I Interpret F(2 27) = 8.80, p < .05? Using the Computer to Compute the F Ratio What the SPSS Output Means Summary Time to Practice 14. Two Too Many Factors: Factorial Analysis of Variance: A Brief Introduction Introduction to Factorial Analysis of Variance The Path to Wisdom and Knowledge A New Flavor of ANOVA The Main Event: Main Effects in Factorial ANOVA Even More Interesting: Interaction Effects Things to Remember Computing the Test Statistic What the SPSS Output Means Summary Time to Practice 15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient Introduction to Testing the Correlation Coefficient 196 196 197 199 200 203 203 203 207 207 208 210 213 214 217 218 218 221 221 222 222 225 231 232 234 237 237 239 239 240 242 243 244 246 246 251 251 251 25Ş 25Ì The Path to Wisdom and Knowledge 254 Computing the Test Statistic 254 So How Do I Interpret r(27) = .393, p < .05? 259 Causes and Associations (Again!) 260 Significance Versus Meaningfulness (Again, Again!) 260 Using the Computer to Compute a Correlation Coefficient (Again) 261 What the SPSS Output Means 263 Summary 263 Time to Practice 263 16. Predicting Who ll Win the Super Bowl: Using Linear Regression 267 What Is Prediction All About? 267 The Logic of Prediction 268 Drawing the World s Best Line (for Your Data) 272 How Good Is Our Prediction? 275 Using the Computer to Compute the Regression Line 276 What the SPSS Output Means 279 The More Predictors the Better? Maybe 279 The Big Rule(s) When It Comes to Using Multiple Predictor Variables 280 Summary 281 Time to Practice 281 17. What to Do When You re Not Normal: Chi-Square and Some Other Nonparametric Tests 285 Introduction to Nonparametric Statistics 285 Introduction to One-Sample Chi-Square 286 Computing the Chi-Square Test Statistic 287 So How Do I Interpret X 2) = 20.6, p < .05? 290 Using the Computer to Perform a Chi-Square Test 291 What the SPSS Output Means 292 Other Nonparametric Tests You Should Know About 293 Summary 294 Time to Practice 295 18. Some Other (Important) Statistical Procedures You Should Know About 297 Multivariate Analysis of Variance 297 Repeated Measures Analysis of Variance 298 Analysis of Covariance 299 Multiple Regression 299 Factor Analysis 300 Path Analysis 301 Structural Equation Modeling 301 Summary 302 19. A Statistical Software Sampler 303 Selecting the Perfect Statistics Software 304 What s Out There 306 First, the Free Stuff 306 Time to Pay 308 Summary 312 PARTV Ten Things You ll Want to Know and Remember 313 20. The Ten (or More) Best Internet Sites for Statistics Stuff 315 Tons and Tons of Resources 316 Who s Who and What s Happened? 316 It s All Here 317 HyperStat 317 Data? You Want Data? 318 Fun, Really Fun 318 More and More and More and More Resources 319 How About Studying Statistics in Stockholm? 319 Online Statistical Teaching Materials 319 More and More and More Stuff 320 And Finally 320 21. The Ten Commandments of Data Collection 321 Appendix A: SPSS in Less Than 30 Minutes 325 Appendix B: Tables 350 Appendix C: Data Sets 366 Appendix D: Answers to Practice Questions 390 Appendix E: Math: Just the Basics 425 Glossary 431 Index 437
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dewey-tens	510 - Mathematics
discipline	Psychologie Mathematik
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spellingShingle	Salkind, Neil J. 1947-2017 Statistics for people who (think they) hate statistics Soziologie (DE-588)4077624-4 gnd Alternative Medizin (DE-588)4112639-7 gnd Statistik (DE-588)4056995-0 gnd
subject_GND	(DE-588)4077624-4 (DE-588)4112639-7 (DE-588)4056995-0 (DE-588)4143413-4
title	Statistics for people who (think they) hate statistics
title_auth	Statistics for people who (think they) hate statistics
title_exact_search	Statistics for people who (think they) hate statistics
title_full	Statistics for people who (think they) hate statistics Neil J. Salkind
title_fullStr	Statistics for people who (think they) hate statistics Neil J. Salkind
title_full_unstemmed	Statistics for people who (think they) hate statistics Neil J. Salkind
title_short	Statistics for people who (think they) hate statistics
title_sort	statistics for people who think they hate statistics
topic	Soziologie (DE-588)4077624-4 gnd Alternative Medizin (DE-588)4112639-7 gnd Statistik (DE-588)4056995-0 gnd
topic_facet	Soziologie Alternative Medizin Statistik Aufsatzsammlung
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