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Using and Interpreting Statistics 2nd ed. 2012 [Hardback]

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  • Formāts: Hardback, 704 pages, Illustrations, 1 Hardback
  • Izdošanas datums: 13-Dec-2012
  • Izdevniecība: Worth Publishers Inc.,U.S.
  • ISBN-10: 1429278609
  • ISBN-13: 9781429278607
Citas grāmatas par šo tēmu:
  • Formāts: Hardback, 704 pages, Illustrations, 1 Hardback
  • Izdošanas datums: 13-Dec-2012
  • Izdevniecība: Worth Publishers Inc.,U.S.
  • ISBN-10: 1429278609
  • ISBN-13: 9781429278607
Citas grāmatas par šo tēmu:
Now published by Worth, Eric Corty’s engaging, easy-to-understand textbook focuses on the needs of behavioral science students encountering statistical practices for the first time. An award-winning master teacher, Corty speaks to students in their language, with an approachable voice that conveys the basics of statistics step-by-step. Examples come from the behavioral and social sciences, as well as from recognizable aspects of everyday life to help students see the relevance of statistics.
Preface xiii
Chapter 1 Introduction to Statistics
1(34)
1.1 The Purpose of Statistics
1(3)
1.2 Experiments and Variables
4(10)
1.3 Levels of Measurement
14(5)
1.4 The Language of Statistics
19(2)
1.5 Statistical Notation and Rounding
21(14)
Application Demonstration
26(2)
Summary
28(1)
Exercises
29(6)
Chapter 2 Frequency Distributions
35(38)
2.1 Frequency Distributions
35(11)
2.2 Discrete Numbers and Continuous Numbers
46(4)
2.3 Graphing Frequency Distributions
50(6)
2.4 Shapes of Frequency Distributions
56(17)
Application Demonstration
60(3)
Summary
63(1)
Exercises
64(4)
SPSS
68(5)
Chapter 3 Measures of Central Tendency and Variability
73(28)
3.1 Central Tendency
73(10)
3.2 Variability
83(18)
Application Demonstration
92(2)
Summary
94(1)
Exercises
95(3)
SPSS
98(3)
Chapter 4 Standard Scores and the Normal Distribution
101(32)
4.1 Standard Scores (z Scores)
101(5)
4.2 The Normal Distribution
106(11)
4.3 Percentile Ranks, Middle Percentages, and Extreme Percentages
117(16)
Application Demonstration
124(2)
Summary
126(1)
Exercises
127(2)
SPSS
129(4)
Chapter 5 Sampling and Probability
133(30)
5.1 Sampling and Sampling Error
133(5)
5.2 Sampling Distributions and the Central Limit Theorem
138(10)
5.3 The Rules of Probability
148(15)
Application Demonstration
156(1)
Summary
157(2)
Exercises
159(2)
SPSS
161(2)
Chapter 6 Introduction to Hypothesis Testing
163(32)
6.1 The Logic of Hypothesis Testing
163(3)
6.2 Hypothesis Testing in Action
166(15)
6.3 Type I Error, Type II Error, Beta, and Power
181(14)
Application Demonstration
189(1)
Summary
190(1)
Exercises
191(4)
SPSS
195(1)
Chapter 7 The Single-Sample t Test
195(38)
7.1 Calculating the Single-Sample t Test
195(12)
7.2 Interpreting the Single-Sample t Test
207(26)
Application Demonstration
222(3)
Summary
225(1)
Exercises
226(4)
SPSS
230(3)
Chapter 8 Independent-Samples t Test
233(34)
8.1 Types of Two-Sample t Tests
234(1)
8.2 Calculating the Independent-Samples t Test
235(11)
8.3 Interpreting the Independent-Samples t Test
246(21)
Application Demonstration
254(2)
Summary
256(1)
Exercises
257(5)
SPSS
262(5)
Chapter 9 The Paired-Samples t Test
267(30)
9.1 Paired Samples
267(2)
9.2 Calculating the Paired-Samples t Test
269(9)
9.3 Interpreting the Paired-Samples t Test
278(19)
Application Demonstration
285(3)
Summary
288(1)
Exercises
289(4)
SPSS
293(4)
Chapter 10 Between-Subjects, One-Way Analysis of Variance
297(48)
10.1 Introduction to Analysis of Variance
297(6)
10.2 Calculating Between-Subjects, One-Way ANOVA
303(18)
10.3 Interpreting Between-Subjects, One-Way ANOVA
321(24)
Application Demonstration
331(3)
Summary
334(1)
Exercises
335(6)
SPSS
341(4)
Chapter 11 One-Way, Repeated-Measures ANOVA
345(36)
11.1 Introduction to Repeated-Measures ANOVA
345(2)
11.2 Calculating One-Way, Repeated-Measures ANOVA
347(10)
11.3 Interpreting One-Way, Repeated-Measures ANOVA
357(24)
Application Demonstration
365(6)
Summary
371(1)
Exercises
371(6)
SPSS
377(4)
Chapter 12 Between-Subjects, Two-Way Analysis of Variance
381(50)
12.1 Introduction to Two-Way ANOVA
381(9)
12.2 Calculating a Between-Subjects, Two-Way ANOVA
390(14)
12.3 Interpreting a Between-Subjects, Two-Way ANOVA
404(27)
Application Demonstration
416(3)
Summary
419(1)
Exercises
420(6)
SPSS
426(5)
Chapter 13 The Pearson Correlation Coefficient
431(52)
13.1 Introduction to the Pearson Correlation Coefficient
431(13)
13.2 Calculating the Pearson Correlation Coefficient
444(13)
13.3 Interpreting the Pearson Correlation Coefficient
457(26)
Application Demonstration
469(2)
Summary
471(1)
Exercises
472(7)
SPSS
479(4)
Chapter 14 Simple and Multiple Linear Regression
483(28)
14.1 Simple Linear Regression
483(12)
14.2 Errors in Regression
495(3)
14.3 Multiple Regression
498(13)
Application Demonstration
502(1)
Summary
503(1)
Exercises
504(3)
SPSS
507(4)
Chapter 15 Nonparametric Statistical Tests
511(50)
15.1 Introduction to Nonparametric Tests
511(1)
15.2 The Chi-Square Goodness-of-Fit Test
512(13)
15.3 Calculating the Chi-Square Test of Independence
525(14)
15.4 Interpreting the Chi-Square Test of Independence
539(5)
15.5 Other Nonparametric Tests
544(17)
Application Demonstration
548(3)
Summary
551(1)
Exercises
552(6)
SPSS
558(3)
Chapter 16 Selecting the Right Statistical Test
561
16.1 Descriptive Statistics
563(5)
16.2 Hypothesis Tests I: Difference Tests
568(5)
16.3 Hypothesis Tests II: Relationship Tests
573
Application Demonstration
575(2)
Summary
577(1)
Exercises
578(4)
SPSS
582
Appendix A Statistical Tables
1(1)
Table 1 Z Scores
1(6)
Table 2 Random Number Table
7(1)
Table 3 Critical Values of t (tcv)
8(2)
Table 4a Critical Values of F (Fcv), α = 05
10(4)
Table 4b Critical Values of F, α = .01
14(4)
Table 5a Studentized Range (q) Values, α = 05
18(2)
Table 5b Studentized Range (q) Values, α = .01
20(2)
Table 6 Critical Values of r (rcv)
22(2)
Table 7 Fisher's r to z Transformation
24(1)
Table 8 Fisher z to r Transformation
25(1)
Table 9 Critical Values of Chi-Square (X2cv)
26
Appendix B Solutions to Odd-Numbered End-of-Chapter Exercises
1(1)
Appendix C Solutions to Practice Problems
1(1)
Glossary 1(1)
References 1(1)
Index 1