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Statistics Plain And Simple

ISBN: 9780534643713 | 053464371X
Edition: 1st
Format: Paperback
Publisher: Cengage Learning
Pub. Date: 6/16/2004

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SummaryTable of Contents
Sherri Jackson's straightforward, conversational introduction to statistics presents just what its title promises -- a plain-and-simple overview of statistics that is clear, concise, and sparing in its use of jargon. Ideal for behavioral sciences majors who need to grasp basic concepts quickly, Jackson's text is designed to quickly build students' confidence in understanding, calculating, and interpreting statistics. It instills a strong awareness of the interaction between statistical methods and research methods. It also provides a solid work... MORE
Introductory Module: Getting Started1(1)
Science and Statistics
1(1)
Goals of Science
2(1)
... MORE
An Introduction to Research Methods in Science
3(6)
Descriptive Methods
3(1)
Predictive (Relational) Methods
4(1)
Explanatory Method
5(4)
Variables and Measurement
9(5)
Operationally Defining Variables
9(1)
Properties of Measurement
10(1)
Scales of Measurement
11(2)
Discrete and Continuous Variables
13(1)
Review of Key Terms
14(1)
Module Exercises
14(1)
Critical Thinking Check Answers
15(4)
Introductory Module Review
16(3)
SECTION ONE Descriptive Statistics
19(40)
Organizing Data
20(7)
Frequency Distributions
20(3)
Graphing Data
23(3)
Bar Graphs and Histograms
23(1)
Frequency Polygons
24(2)
Review of Key Terms
26(1)
Module Exercises
26(1)
Critical Thinking Check Answers
26(1)
Measures of Central Tendency
27(6)
Mean
27(2)
Median
29(1)
Mode
30(1)
Review of Key Terms
31(1)
Module Exercises
31(1)
Critical Thinking Check Answers
32(1)
Web Resources
32(1)
Measures of Variation
33(10)
Range
33(1)
Average Deviation and Standard Deviation
34(5)
Types of Distributions
39(3)
Normal Distributions
40(1)
Positively Skewed Distributions
40(1)
Negatively Skewed Distributions
41(1)
Review of Key Terms
42(1)
Module Exercises
42(1)
Critical Thinking Check Answers
42(1)
Web Resources
42(1)
Standard Scores, the Standard Normal Distribution, and Percentile Ranks
43(16)
Standard Scores (z-Scores)
43(2)
z-Scores, the Standard Normal Distribution, and Percentile Ranks
45(7)
Review of Key Terms
52(1)
Module Exercises
52(1)
Critical Thinking Check Answers
53(1)
Web Resources
53(6)
Section One Summary and Review
55(4)
SECTION TWO Inferential Statistics I
59(36)
Hypothesis Testing
60(9)
Null and Alternative Hypotheses
60(1)
One- and Two-Tailed Hypothesis Tests
61(1)
Type I and Type II Errors in Hypothesis Testing
62(1)
Probability, Statistical Significance, and Errors
63(2)
Using Inferential Statistics
65(2)
Review of Key Terms
67(1)
Module Exercises
67(1)
Critical Thinking Check Answers
68(1)
Web Resources
68(1)
Single-Sample z Test
69(14)
The z Test: What It Is and What It Does
69(10)
The Sampling Distribution
70(1)
The Standard Error of the Mean
70(2)
Calculations for the One-Tailed z Test
72(1)
Interpreting the One-Tailed z Test
72(2)
Calculations for the Two-Tailed z Test
74(1)
Interpreting the Two-Tailed z Test
75(2)
Statistical Power
77(1)
Assumptions and Appropriate Use of the z Test
78(1)
Confidence Intervals
79(2)
Review of Key Terms
81(1)
Module Exercises
81(1)
Critical Thinking Check Answers
81(1)
Web Resources
82(1)
Single-Sample t Test
83(12)
The t Test: What It Is and What It Does
83(6)
Student's t Distribution
83(1)
Calculations for the One-Tailed t Test
84(1)
The Estimated Standard Error of the Mean
85(1)
Interpreting the One-Tailed t Test
86(1)
Calculations for the Two-Tailed t Test
87(1)
Interpreting the Two-Tailed t Test
87(1)
Assumptions and Appropriate Use of the Single-Sample t Test
88(1)
Review of Key Terms
89(1)
Module Exercises
89(1)
Critical Thinking Check Answers
89(1)
Web Resources
89(6)
Section Two Summary and Review
91(4)
SECTION THREE Inferential Statistics II
95(44)
The Two-Group t Test
97(15)
t Test for Independent Groups (Samples): What It Is and What It Does
98(5)
Calculations for the Independent-Groups t Test
99(1)
Interpreting the Independent-Groups t Test
100(2)
Graphing the Means
102(1)
Effect Size: Cohen's d
102(1)
Assumptions of the Independent-Groups t Test
103(1)
t Test for Correlated Groups: What It Is and What It Does
103(6)
Calculations for the Correlated-Groups t Test
105(2)
Interpreting the Correlated-Groups t Test and Graphing the Means
107(1)
Effect Size: Cohen's d
108(1)
Assumptions of the Correlated-Groups t Test
108(1)
Review of Key Terms
109(1)
Module Exercises
109(2)
Critical Thinking Check Answers
111(1)
Web Resources
111(1)
Comparing More Than Two Groups
112(9)
Using Designs with Three or More Levels of an Independent Variable
112(4)
Comparing More Than Two Kinds of Treatment in One Study
112(2)
Comparing Two or More Kinds of Treatment with a Control Group
114(1)
Comparing a Placebo Group to the Control and Experimental Groups
115(1)
Analyzing the Multiple-Group Design
116(1)
One-Way Randomized Anova: What It Is and What It Does
117(3)
Review of Key Terms
120(1)
Module Exercises
120(1)
Critical Thinking Check Answers
120(1)
Web Resources
120(1)
One-Way Randomized Analysis of Variance (ANOVA)
121(18)
Calculations for the One-Way Randomized ANOVA
121(4)
Interpreting the One-Way Randomized ANOVA
125(5)
Graphing the Means and Effect Size
126(2)
Assumptions of the One-Way Randomized ANOVA
128(1)
Tukey's Post Hoc Test
128(2)
Review of Key Terms
130(1)
Module Exercises
130(2)
Critical Thinking Check Answers
132(1)
Web Resources
132(7)
Section Three Summary And Review
133(6)
SECTION FOUR Inferential Statistics III
139(40)
One-Way Repeated Measures ANOVA
141(10)
Correlated-Groups Designs
141(1)
One-Way Repeated Measures ANOVA: What It is and What It Does
142(1)
Calculations for the One-Way Repeated Measures ANOVA
143(6)
Interpreting the One-Way Repeated Measures ANOVA
146(1)
Graphing the Means and Effect Size
147(1)
Assumptions of the One-Way Repeated Measures ANOVA
147(1)
Tukey's Post Hoc Test
148(1)
Review of Key Terms
149(1)
Module Exercises
149(1)
Critical Thinking Check Answers
150(1)
Web Resources
150(1)
Using Designs with More Than One Independent Variable
151(9)
Factorial Notation and Factorial Designs
151(1)
Main Effects and Interaction Effects
152(3)
Possible Outcomes of a 2 x 2 Factorial Design
155(3)
Review of Key Terms
158(1)
Module Exercises
158(1)
Critical Thinking Check Answers
159(1)
Web Resources
159(1)
Two-Way Randomized ANOVA
160(19)
Two-Way Randomized ANOVA: What It Is and What It Does
160(2)
Calculations for the Two-Way Randomized ANOVA
162(8)
Interpreting the Two-Way Randomized ANOVA
166(1)
Assumptions of the Two-Way Randomized ANOVA
167(1)
Post Hoc Tests and Effect Size
168(2)
Two-Way Repeated Measures ANOVA
170(1)
Beyond the Two-Way ANOVA
170(1)
Review of Key Terms
171(1)
Module Exercises
171(1)
Critical Thinking Check Answers
172(1)
Web Resources
173(6)
Section Four Summary and Review
175(4)
SECTION FIVE Correlational Procedures
179(26)
Correlational Research
180(12)
Magnitude, Scatterplots, and Types of Relationships
180(5)
Magnitude
181(1)
Scatterplots
181(1)
Positive Relationships
182(1)
Negative Relationships
183(1)
No Relationship
183(1)
Curvilinear Relationships
183(2)
Misinterpreting Correlations
185(4)
The Assumptions of Causality and Directionality
185(1)
The Third-Variable Problem
186(1)
Restrictive Range
187(1)
Curvilinear Relationships
188(1)
Prediction and Correlation
189(1)
Review of Key Terms
190(1)
Module Exercises
190(1)
Critical Thinking Check Answers
190(1)
Web Resources
191(1)
Correlation and Regression Analyses
192(13)
Correlation Coefficients
192(5)
The Pearson Product-Moment Correlation Coefficient: What It Is and What It Does
192(1)
Calculating the Pearson Product-Moment Correlation
192(2)
Interpreting the Pearson Product-Moment Correlation
194(2)
Alternative Correlation Coefficients
196(1)
Advanced Correlational Techniques: Regression Analysis
197(2)
Review of Key Terms
199(1)
Module Exercises
200(1)
Critical Thinking Check Answers
200(1)
Web Resources
200(5)
Section Five Summary and Review
201(4)
SECTION SIX Nonparametric Procedures
205(17)
Chi-Square Tests
206(6)
The Chi-Square (χ2) Goodness-of-Fit Test: What It Is and What It Does
206(2)
Calculations for the χ2 Goodness-of-Fit Test
206(1)
Interpreting the χ2 Goodness-of-Fit Test
207(1)
Assumptions and Appropriate Use of the χ2 Goodness-of-Fit Test
207(1)
Chi-Square (χ2) Test of Independence: What It Is and What It Does
208(3)
Calculations for the χ2 Test of Independence
208(1)
Interpreting the χ2 Test of Independence
209(1)
Effect Size: Phi Coefficient
209(1)
Assumptions of the χ2 Test of Independence
210(1)
Review of Key Terms
211(1)
Module Exercises
211(1)
Critical Thinking Check Answers
211(1)
Web Resources
211(1)
Wilcoxon Tests
212(10)
Wilcoxon Rank-Sum Test: What It Is and What It Does
212(2)
Calculations for the Wilcoxon Rank-Sum Test
212(1)
Interpreting the Wilcoxon Rank-Sum Test
213(1)
Assumptions of the Wilcoxon Rank-Sum Test
213(1)
Wilcoxon Matched-Pairs Signed-Ranks T Test: What It is and What It Does
214(2)
Calculations for the Wilcoxon Matched-Pairs Signed-Ranks T Test
215(1)
Interpreting the Wilcoxon Matched-Pairs Signed-Ranks T Test
215(1)
Assumptions of the Wilcoxon Matched-Pairs Signed-Ranks T Test
216(1)
Beyond the Wilcoxon Tests
216(1)
Review of Key Terms
217(1)
Module Exercises
217(1)
Critical Thinking Check Answers
218(4)
Section Six Summary and Review
219(3)
Appendix A Statistical Tables222(19)
Appendix B Answers to Module and Section Summary Exercises241(10)
Appendix C TI83 Exercises251(4)
Appendix D Computational Supplement255(3)
References258(1)
Glossary259(6)
Index265

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