Statistics for people who (think they) hate statistics:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Thousand Oaks [u.a.]
Sage
2004
|
| Ausgabe: | 2. ed. |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012811830&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | XX, 403 S. Ill., graph. Darst. |
| ISBN: | 0761927883 076192776X |
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Datensatz im Suchindex
| _version_ | 1819327169149534208 |
|---|---|
| adam_text | VITMUIQ CONTENTS
A Note to the Student: Why I Wrote This Book xvii
Acknowledgments xviii
And Now, About the 2nd Edition xix
PARTf
Yippee! I m in Statistics 1
1. Statistics or Sadistics? It s Up to You 5
Why Statistics? 5
A Five Minute History of Statistics 6
Statistics: What It Is (and Isn t) 8
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!) 12
About Those Icons 14
Key to Difficulty Index 15
Glossary 15
Summary 15
Time to Practice 16
PART ii
Sigma 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 23
Things to Remember 26
Computing the Mode 27
Apple Pie a la Bimodal 28
When to Use What 28
Using the Computer and Computing Descriptive Statistics 29
The SPSS Output 31
Summary 32
Time to Practice 32
Answers to Practice Questions 33
3. Vive la Difference: Understanding Variability 34
Why Understanding Variability Is Important 34
Computing the Range 35
Computing the Standard Deviation 36
Why n 1 ? What s Wrong With Just n? 40
What s the Big Deal? 41
Things to Remember 41
Computing the Variance 42
The Standard Deviation Versus the Variance 42
Using the Computer to Compute Measures of Variability 43
The SPSS Output 44
Summary 45
Time to Practice 46
Answers to Practice Questions 47
4. A Picture Really Is Worth a Thousand Words 48
Why Illustrate Data? 48
Ten Ways to a Great Figure (Eat Less and Exercise More?) 49
First Things First: Creating a Frequency Distribution 50
The Classiest of Intervals 51
The Plot Thickens: Creating a Histogram 52
The Tally Ho Method 55
The Next Step: A Frequency Polygon 56
Cumulating Frequencies 57
Fat and Skinny Frequency Distributions 59
Average Value 59
Variability 60
Skewness 61
Kurtosis 62
Other Cool Ways to Chart Data 64
Column Charts 64
Bar Charts 65
Line Charts 65
Pie Charts 66
Using the Computer to Illustrate Data 67
Creating a Histogram Graph 67
Creating a Bar Graph 69
Creating a Line Graph 70
Creating a Pie Graph 72
Summary 73
Time to Practice 74
Answers to Practice Questions 75
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 81
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 92
Using the Computer to Compute a Correlation Coefficient 93
The SPSS Output 94
Creating an SPSS Scatterplot (or Scattergram or Whatever) 95
Summary 96
Time to Practice 97
Answers to Practice Questions 99
PART III
Taking Chances for Fun and Profit 101
6. Hypotheticals and You: Testing Your Questions 103
So You Want to Be a Scientist... 103
Samples and Populations 104
The Null Hypothesis 105
The Purposes of the Null Hypothesis 106
The Research Hypothesis 107
The Nondirectional Research Hypothesis 108
The Directional Research Hypothesis 109
Some Differences Between the Null Hypothesis
and the Research Hypothesis 111
What Makes a Good Hypothesis? 112
Summary 115
Time to Practice 116
Answers to Practice Questions 117
7. Are Your Curves Normal? Probability and Why It Counts 118
Why Probability? 118
The Normal Curve (a.k.a. the Bell Shaped Curve) 119
Hey, That s Not Normal! 120
More Normal Curve 101 122
Our Favorite Standard Score: The z Score 126
What z Scores Represent 129
What z Scores Really Represent 132
Hypothesis Testing and z Scores: The First Step 134
Using the Computer to Compute z Scores 135
Summary 136
Time to Practice 137
Answers to Practice Questions 138
PART IV
Significantly Different: Using Inferential Statistics 139
8. Significantly Significant: What It Means for You and Me 141
The Concept of Significance 141
If Only We Were Perfect 142
The World s Most Important Table (for This Semester Only) 144
More About Table 8.1 145
Back to Type I Errors 146
Significance Versus Meaningfulness 148
An Introduction to Inferential Statistics 150
How Inference Works 150
How to Select What Test to Use 151
Here s How to Use the Chart 153
An Introduction to Tests of Significance 153
How a Test of Significance Works: The Plan 154
Here s the Picture That s Worth a Thousand Words 155
Summary 157
Time to Practice 158
Answers to Practice Questions 159
9. t(ea) for Two: Tests Between the Means of Different Groups 160
Introduction to the t Test for Independent Samples 160
The Path to Wisdom and Knowledge 161
Computing the Test Statistic 163
So How Do I Interpret t(58) = .14, p .05? 167
Special Effects: Are Those Differences for Real? 167
Computing and Understanding the Effect Size 169
A Very Cool Effect Size Calculator 171
Using the Computer to Perform a t Test 171
What the SPSS Output Means 175
Summary 175
Time to Practice 176
Answers to Practice Questions 177
10. t(ea) for Two (Again): Tests Between the Means of Related Groups 179
Introduction to the t Test for Dependent Samples 179
The Path to Wisdom and Knowledge 180
Computing the Test Statistic 182
So How Do I Interpret t(24) = 2.45, p .05? 185
Using the Computer to Perform a t Test 186
What the SPSS Output Means 187
Summary 190
Time to Practice 191
Answers to Practice Questions 192
11. Two Groups Too Many? Try Analysis of Variance 193
Introduction to Analysis of Variance 193
The Path to Wisdom and Knowledge 194
Different Flavors of ANOVA 194
Computing the Test Statistic 197
So How Do I Interpret F(2 27) = 8.80, p .05? 204
Using the Computer to Compute the F Ratio 205
What the SPSS Output Means 206
Summary 208
Time to Practice 210
Answers to Practice Questions 211
12. Two Too Many Factors: Factorial Analysis of Variance 212
Introduction to Factorial Analysis of Variance 212
The Path to Wisdom and Knowledge 213
A New Flavor of ANOVA 214
The Main Event: Main Effects in Factorial ANOVA 216
Even More Interesting: Interaction Effects 218
Things to Remember 220
Computing the Test Statistic 220
What the SPSS Output Means 225
Summary 225
Time to Practice 226
Answers to Practice Questions 227
13. Cousins or Just Good Friends?
Testing Relationships Using the Correlation Coefficient 228
Introduction to Testing the Correlation Coefficient 228
The Path to Wisdom and Knowledge 229
Computing the Test Statistic 231
So How Do I Interpret r(27) = .393, p .05? 234
Causes and Associations (Again!) 235
Significance Versus Meaningfulness (Again, Again!) 235
Using the Computer to Compute a Correlation Coefficient (Again) 236
What the SPSS Output Means 238
Summary 238
Time to Practice 239
Answers to Practice Questions 240
14. Predicting Who ll Win the Super Bowl: Using Linear Regression 242
What Is Prediction All About? 242
The Logic of Prediction 244
Drawing the World s Best Line (for Your Data) 248
How Good Is Our Prediction? 250
Using the Computer to Compute the Regression Line 251
What the SPSS Output Means 254
The More Predictors the Better? Maybe . . . 255
The Big Rule When It Comes to Using Multiple
Predictor Variables 256
Summary 257
Time to Practice 258
Answers to Practice Questions 260
15. What to Do When You re Not Normal:
Chi Square and Some Other Nonparametric Tests 261
Introduction to Nonparametric Statistics 261
Introduction to One Sample Chi Square 262
Computing the Chi Square Test Statistic 263
So How Do I Interpret X 2) = 20.6, p .05? 267
Using the Computer to Perform a Chi Square Test 267
What the SPSS Output Means 269
Other Nonparametric Tests You Should Know About 269
Summary 270
Time to Practice 271
Answers to Practice Questions 272
16. Just the Truth: An Introduction to
Understanding Reliability and Validity 273
An Introduction to Reliability and Validity 273
What s Up With This Measurement Stuff? 274
All About Measurement Scales 275
A Rose by Any Other Name: The Nominal Level of Measurement 275
Any Order Is Fine With Me: The Ordinal Level of Measurement 276
1 + 1 = 2: The Interval Level of Measurement 276
Can Anyone Have Nothing of Anything?
The Ratio Level of Measurement 276
In Sum ... 277
Reliability—Doing It Again Until You Get It Right 277
Test Scores—Truth or Dare 278
Observed Score = True Score + Error Score 278
Different Types of Reliability 279
Using the Computer to Calculate Cronbach s Alpha 284
What SPSS Means 286
How Big Is Big? Interpreting Reliability Coefficients 287
Just One More Thing 288
Validity—Whoa! What Is the Truth? 289
Different Types of Validity 289
A Last Friendly Word 293
Validity and Reliability: Really Close Cousins 294
Summary 294
Time to Practice 295
Answers to Practice Questions 296
17. 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
18. A Statistical Software Sampler 303
Selecting the Perfect Statistics Software 304
What s Out There 305
First, the Free Stuff 306
JMP 307
Minitab 307
STATISTICA 308
SPSS: Mac, Windows, MS DOS, OS/2, UNIX, VMS, MVS VM/CMS 309
SYSTAT 310
STATISTIX for Windows 310
EcStatic 311
Summary 312
PART V
Tons of Things You ll Want to Know and Remember 313
19. The Ten (or More) Best Internet Sites for Statistics Stuff 315
Tons and Tons of Resources 315
Calculators Galore! 316
Who s Who and What s Happened 317
It s All Here 317
HyperStat 318
Data? You Want Data? 318
More and More and More and More Resources 319
Plain, but Fun 319
How About Studying Statistics in Stockholm? 319
More and More and More Resources Again! 320
Online Statistical Teaching Materials 320
More and More and More Stuff 321
20. The Ten Commandments of Data Collection 322
Appendix A: SPSS in Less Than 30 Minutes 325
Starting SPSS 327
The SPSS Opening Window 327
The SPSS Toolbar and Status Bar 329
Using SPSS Help 330
Using the Fl Function Key 331
A Brief Tour of SPSS 332
Opening a File 332
A Simple Table and Graph 333
A Simple Analysis 333
Creating and Editing a Data File 334
Defining Variables 335
Custom Defining Variables: Using The Variable View Window 335
Defining Variable Labels 337
Changing Variable Labels 338
Opening a Data File 340
Printing With SPSS 340
Printing an SPSS Data File 340
Printing a Selection From an SPSS Data File 341
Creating an SPSS Chart 341
Creating a Simple Chart 341
Saving a Chart 343
Enhancing SPSS Charts 344
Editing a Chart 344
Describing Data 348
Frequencies and Crosstab Tables 348
Applying the Independent Samples t Test 350
Exiting SPSS 352
Appendix B: Tables 353
Table Bl: Areas Beneath the Normal Curve 353
Table B2: t Values Needed for Rejection of the Null Hypothesis 357
Table B3: Critical Values for Analysis of Variance or F Test 360
Table B4: Values of the Correlation Coefficient Needed for
Rejection of the Null Hypothesis 364
Table B5: Critical Values for the Chi Square Test 366
Appendix C: Data Sets 369
Chapter 2 Data Sets 370
Chapter 3 Data Sets 370
Chapter 4 Data Set 371
Chapter 5 Data Sets 371
Chapter 9 Data Sets 372
Chapter 10 Data Sets 373
Chapter 11 Data Sets 374
Chapter 12 Data Sets 375
Chapter 13 Data Sets 377
Chapter 14 Data Sets 377
Chapter 15 Data Sets 378
Sample Data Set 380
Glossary 382
Index 391
About the Author 403
|
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| edition | 2. ed. |
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| isbn | 0761927883 076192776X |
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| spellingShingle | Salkind, Neil J. 1947-2017 Statistics for people who (think they) hate statistics Statistiek gtt Statistiques rasuqam Statistik Statistics Statistik (DE-588)4056995-0 gnd Alternative Medizin (DE-588)4112639-7 gnd Soziologie (DE-588)4077624-4 gnd |
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| 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 | Statistiek gtt Statistiques rasuqam Statistik Statistics Statistik (DE-588)4056995-0 gnd Alternative Medizin (DE-588)4112639-7 gnd Soziologie (DE-588)4077624-4 gnd |
| topic_facet | Statistiek Statistiques Statistik Statistics Alternative Medizin Soziologie Aufsatzsammlung |
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