Cover image for Statistics : the exploration and analysis of data
Title:
Statistics : the exploration and analysis of data
Personal Author:
Edition:
5th ed.
Publication Information:
Belmont, Calif. : Thomson, 2005
Physical Description:
1v + 1CD-ROM (CP 4180)
ISBN:
9780534467234
Subject Term:
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30000010107299 QA276 D47 2005 Open Access Book Book
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30000010059249 QA276 D47 2005 Open Access Book Book
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Summary

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 output. 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

1 The Role of Statistics
Three Reasons to Study Statistics
The Nature and Role of Variability
Statistics and Data Analysis
Types of Data and Simple Graphical Displays
Chapter Activities
Supplementary Exercises
2 The Data Analysis Process and Collecting Data Sensibly
The Data Analysis Process
Sampling
Statistical Studies: Observation and Experimentation
Simple Comparative Experiments
More on Experimental Design
More on Observational Studies: Designing Surveys (Optional)
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities/ Supplementary Exercises
3 Graphical Methods for Describing Data
Displaying Categorical Data: Comparative Bar Charts and Pie Charts
Displaying Numerical Data: Stem-and-Leaf Displays
Displaying Numerical Data: Frequency Distributions and Histograms
Displaying Bivariate Numerical Data
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
4 Numerical Methods for Describing Data
Describing the Center of a Data Set
Describing Variability in a Data Set
Summarizing a Data Set: Boxplots
Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
5 Summarizing Bivariate Data
Correlation
Linear Regression: Fitting a Line to Bivariate Data
Assessing the Fit of a Line
Nonlinear Relationships and Transformations
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
6 Probability
Interpreting Probabilities and Basic Probability Rules
Probability as a Basis for Making Decisions
Estimating Probabilities
Empirically and by Using Simulation
Chapter Activities
Supplementary Exercises
7 Population Distributions
Describing the Distribution of Values in a Population
Population Models for Continuous Numerical Variables
Normal Distributions
Checking Normality and Normalizing Transformations
Chapter Activities
Supplementary Exercises
8 Sampling Variability and Sampling Distributions
Statistics and Sampling Variability
The Sampling Distribution of a Sample Mean
The Sampling Distribution of a Sample Proportion
Chapter Activities
Supplementary Exercises
Graphing Calculator Explorations
9 Estimation Using a Single Sample
Point Estimation
A Large-Sample Confidence Interval for a Population Proportion
A Confidence Interval for a Population Mean
Communicating and Interpreting the Results of a Statistical Analyses
Chapter Activities
Supplementary Exercises
Graphing Calculator Explorations
10 Hypothesis Testing Using a Single Sample
Hypotheses and Test Procedures
Errors in Hypothesis Testing
Large-Sample Hypothesis Tests for a Population Proportion
Hypothesis Tests for a Population Mean
Power and the Probability of Type II Error
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
Graphing Calculator Explorations
11 Comparing Two Populations or Treatments
Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples
Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples
Large-Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions
Distribution-Free Procedures for Inferences Concerning a Difference Between Two Population or Treatment Means Using Independent Samples (Optional)
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
Graphing Calculator Explorations
12 The Analysis of Categorical Data and Goodness-of-Fit Tests
Chi-Square Tests for Univariate Categorical Data
Test for Homogeneity and Independence in a Two-Way Table
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
Graphing Calculator Explorations
13 Simple Linear Regression And Correlation: Inferential Methods
The Simple Linear Regression Model
Inferences Concerning the Slope of the Population Regression Line
Checking Model Adequacy
Inferences Based on the Estimated Regression Line
Inferences About the Population Correlation Coefficient (Optional)
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
Graphing Calculator Explorations
14 Multiple Regression Analysis
Multiple Regression Models
Fitting a Model and Assessing Its Utility
Inferences Based on an Estimated Model
Other Issues in Multiple Regression
Communicating and Interpreting the Results of Statistical Analyses
Chapter Activities
Supplementary Exercises
15 The Analysis of Variance
Single-Factor ANOVA and the F Test
Multiple Comparisons
The F Test for a Randomized Block Experiment
Two-Factor ANOVA
Communicating and Interpreting the Results of Statistical Analyses
Appendix: ANOVA Computations
Chapter Activities
Supplementary Exercises
Graphing Calculator Explorations
Appendices
Appendix I The Binomial Distribution
Appendix II Statistical Tables