Statistics The Exploration and Analysis of Data (with CD-ROM, InfoTrac, and Internet Companion),9780534467234

Statistics The Exploration and Analysis of Data (with CD-ROM, InfoTrac, and Internet Companion)

by ;
Edition: 5th
ISBN13: 9780534467234
ISBN10: 0534467237
Format: Hardcover
Pub. Date: 2004-03-01
Publisher(s): Duxbury Press
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List Price: $351.13

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Summary

Jay Devore and Roxy Peck's attractive new text focuses on data analysis, citing real data in nearly all the examples, as the prime motivation for the study of statistics. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses the interpretation and communication of statistical information. Conceptual comprehension is cemented by the simplicity of notation - frequently substituting words for symbols. Hands-on activities and "Seeing Statistics" applets in each chapter allow students to practice statistics firsthand.

Table of Contents

Preface xiii
The Role of Statistics
1(24)
Three Reasons to Study Statistics
1(4)
The Nature and Role of Variability
5(3)
Statistics and Data Analysis
8(2)
Types of Data and Some Simple Graphical Displays
10(15)
Head Sizes: Understanding Variability
20(1)
Estimating Sizes
21(4)
The Data Analysis Process and Collecting Data Sensibly
25(48)
The Data Analysis Process
25(3)
Sampling
28(11)
Statistical Studies: Observation and Experimentation
39(4)
Simple Comparative Experiments
43(10)
More on Experimental Design
53(5)
More on Observational Studies: Designing Surveys (Optional)
58(8)
Communicating and Interpreting the Results of Statistical Analyses
66(7)
Designing a Sampling Plan
68(1)
An Experiment to Test for the Stroop Effect
68(5)
Graphical Methods for Describing Data
73(66)
Displaying Categorical Data: Comparative Bar Charts and Pie Charts
73(13)
Displaying Numerical Data: Stem-and-Leaf Displays
86(7)
Displaying Numerical Data: Frequency Distributions and Histograms
93(21)
Displaying Bivariate Numerical Data
114(11)
Communicating and Interpreting the Results of Statistical Analyses
125(14)
Locating States
133(1)
Bean Counters!
134(5)
Numerical Methods for Describing Data
139(46)
Describing the Center of a Data Set
140(10)
Describing Variability in a Data Set
150(10)
Summarizing a Data Set: Boxplots
160(6)
Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores
166(9)
Communicating and Interpreting the Results of Statistical Analyses
175(10)
Collecting and Summarizing Numerical Data
179(1)
Boxplot Shapes
180(5)
Summarizing Bivariate Data
185(64)
Correlation
185(12)
Linear Regression: Fitting a Line to Bivariate Data
197(11)
Assessing the Fit of a Line
208(15)
Nonlinear Relationships and Transformations
223(16)
Communicating and Interpreting the Results of Statistical Analyses
239(10)
Exploring Correlation and Regression Technology Activity (Applets)
242(1)
Age and Flexibility
243(6)
Probability
249(32)
Interpreting Probabilities and Basic Probability Rules
249(11)
Probability as a Basis for Making Decisions
260(4)
Estimating Probabilities Empirically and by Using Simulation
264(17)
Kisses
276(1)
A Crisis for European Sports Fans?
276(1)
The ``Hot Hand'' in Basketball
276(5)
Population Distributions
281(50)
Describing the Distribution of Values in a Population
281(9)
Population Models for Continuous Numerical Variables
290(9)
Normal Distributions
299(18)
Checking Normality and Normalizing Transformations
317(14)
Rotten Eggs?
328(3)
Sampling Variability and Sampling Distributions
331(30)
Statistics and Sampling Variability
332(9)
The Sampling Distribution of a Sample Mean
341(10)
The Sampling Distribution of a Sample Proportion
351(10)
Do Students Who Take the SATs Multiple Times Have an Advantage in College Admissions?
357(4)
Estimation Using a Single Sample
361(44)
Point Estimation
361(7)
Large-Sample Confidence Interval for a Population Proportion
368(13)
Confidence Interval for a Population Mean
381(13)
Communicating and Interpreting the Results of Statistical Analyses
394(11)
Getting a Feel for Confidence Level
399(1)
An Alternative Confidence Interval for a Population Proportion
400(5)
Hypothesis Testing Using a Single Sample
405(52)
Hypotheses and Test Procedures
406(4)
Errors in Hypothesis Testing
410(6)
Large-Sample Hypothesis Tests for a Population Proportion
416(13)
Hypothesis Tests for a Population Mean
429(11)
Power and the Probability of Type II Error
440(10)
Communicating and Interpreting the Results of Statistical Analyses
450(7)
Comparing the t and z Distributions
452(5)
Comparing Two Populations or Treatments
457(58)
Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples
457(20)
Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples
477(11)
Large-Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions
488(9)
Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples (Optional)
497(8)
Communicating and Interpreting the Results of Statistical Analyses
505(10)
Helium-Filled Footballs?
507(1)
Thinking About Data Collection
508(7)
The Analysis of Categorical Data and Goodness-of-Fit Tests
515(34)
Chi-Square Tests for Univariate Categorical Data
515(9)
Tests for Homogeneity and Independence in a Two-Way Table
524(17)
Communicating and Interpreting the Results of Statistical Analyses
541(8)
Pick a Number, Any Number . . .
544(1)
Color and Perceived Taste
544(5)
Simple Linear Regression and Correlation: Inferential Methods
549(56)
The Simple Linear Regression Model
549(13)
Inferences About the Slope of the Population Regression Line
562(10)
Checking Model Adequacy
572(11)
Inferences Based on the Estimated Regression Line
583(8)
Inferences About the Population Correlation Coefficient (Optional)
591(4)
Communicating and Interpreting the Results of Statistical Analyses
595(10)
Are Tall Women from ``Big'' Families?
596(9)
Multiple Regression Analysis
605(60)
Multiple Regression Models
606(12)
Fitting a Model and Assessing Its Utility
618(15)
Inferences Based on an Estimated Model
633(12)
Other Issues in Multiple Regression
645(12)
Communicating and Interpreting the Results of Statistical Analyses
657(8)
Exploring the Relationship Between Number of Predictors and Sample Size
658(7)
Analysis of Variance
665(54)
Single-Factor ANOVA and the F Test
665(14)
Multiple Comparisons
679(7)
The F Test for a Randomized Block Experiment
686(9)
Two-Factor ANOVA
695(12)
Communicating and Interpreting the Results of Statistical Analyses
707(12)
Exploring Single-Factor ANOVA
709(3)
Appendix: ANOVA Computations
712(7)
Appendix 1: The Binomial Distribution 719(9)
Appendix 2: Statistical Tables 728(21)
Answers to Selected Odd-Numbered Exercises 749(10)
Index 759

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