Statistics for people who (think they) hate statistics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Thousand Oaks, Calif. [u.a.]
Sage Publ.
2011
|
| Ausgabe: | 4. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIII, 442 S. Ill., graph. Darst. |
| ISBN: | 9781412979597 9781412979603 |
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| 245 | 1 | 0 | |a Statistics for people who (think they) hate statistics |c Neil J. Salkind |
| 250 | |a 4. ed. | ||
| 264 | 1 | |a Thousand Oaks, Calif. [u.a.] |b Sage Publ. |c 2011 | |
| 300 | |a XXIII, 442 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
| _version_ | 1805081809898176512 |
|---|---|
| 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 |
| any_adam_object | 1 |
| author | Salkind, Neil J. 1947-2017 |
| author_GND | (DE-588)137343698 |
| author_facet | Salkind, Neil J. 1947-2017 |
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| building | Verbundindex |
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| classification_rvk | CM 4000 |
| classification_tum | MAT 620f |
| ctrlnum | (OCoLC)731639065 (DE-599)HBZHT016460866 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Psychologie Mathematik |
| edition | 4. ed. |
| format | Book |
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| id | DE-604.BV037273194 |
| illustrated | Illustrated |
| indexdate | 2024-07-20T07:22:40Z |
| institution | BVB |
| isbn | 9781412979597 9781412979603 |
| language | English |
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| spelling | Salkind, Neil J. 1947-2017 Verfasser (DE-588)137343698 aut Statistics for people who (think they) hate statistics Neil J. Salkind 4. ed. Thousand Oaks, Calif. [u.a.] Sage Publ. 2011 XXIII, 442 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Alternative Medizin (DE-588)4112639-7 gnd rswk-swf Soziologie (DE-588)4077624-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Statistik (DE-588)4056995-0 s Soziologie (DE-588)4077624-4 s 2\p DE-604 Alternative Medizin (DE-588)4112639-7 s 3\p DE-604 Digitalisierung UB Augsburg application/pdf 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 Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Salkind, Neil J. 1947-2017 Statistics for people who (think they) hate statistics Alternative Medizin (DE-588)4112639-7 gnd Soziologie (DE-588)4077624-4 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4112639-7 (DE-588)4077624-4 (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 | Alternative Medizin (DE-588)4112639-7 gnd Soziologie (DE-588)4077624-4 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Alternative Medizin Soziologie Statistik Aufsatzsammlung |
| url | 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 |
| work_keys_str_mv | AT salkindneilj statisticsforpeoplewhothinktheyhatestatistics |