Statistics The Exploration and Analysis of Data (with CD-ROM)

by Devore, Jay L.; Peck, Roxy

• ISBN13: 9780534358679
• ISBN10: 0534358675
• Edition: CD
• Format: Hardcover
• Copyright: 2000-08-07
• Publisher: Duxbury Press

Summary

Jay Devore and Roxy Peck's new book features analysis of data, often using real data, as the prime motivation for the study of statistics. Traditional in structure yet modern in spirit, the book incorporates material that reflects an increased emphasis on issues involved in data collection. Focusing on concepts rather than calculation, the authors place the emphasis in probability on intuition and simulation (rather than mathematical formalism and offer more examples and exercises in order to integrate description and exploration from the early chapters.

Table of Contents

The Role of Statistics	1	(10)
Three Reasons to Study Statistics	1	(3)
Statistics and Data Analysis	4	(3)
The Nature and Role of Variability	7	(4)
The Data Analysis Process and Collecting Data Sensibly	11	(30)
Types of Data	11	(4)
The Data Analysis Process	15	(2)
Collecting Data Sensibly: Observation and Experimentation	17	(3)
Sampling	20	(7)
Simple Comparative Experiments	27	(14)
Graphical Methods for Describing Data	41	(48)
Displaying Categorical Data: Frequency Distributions, Bar Charts, and Pie Charts	42	(10)
Displaying Numerical Data: Dotplots and Stem-and-Leaf Displays	52	(8)
Displaying Numerical Data: Frequency Distributions and Histograms	60	(20)
Interpreting the Results of Statistical Analyses	80	(9)
Numerical Methods for Describing Data	89	(40)
Describing the Center of a Data Set	90	(10)
Describing Variability in a Data Set	100	(9)
Summarizing a Data Set: Boxplots	109	(5)
Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores	114	(9)
Interpreting the Results of Statistical Analyses	123	(6)
Summarizing Bivariate Data	129	(70)
Scatter Plots	130	(6)
Correlation	136	(14)
Fitting a Line to Bivariate Data	150	(10)
Assessing the Fit of a Line	160	(15)
Nonlinear Relationships and Transformations	175	(17)
Interpreting the Results of Statistical Analyses	192	(7)
Probability	199	(30)
Interpreting Probabilities and Basic Probability Rules	200	(10)
Probability as a Basis for Making Decisions	210	(4)
Estimating Probabilities	214	(15)
Population Distributions	229	(52)
Describing the Distribution of Values in a Population	229	(10)
Population Models for Continuous Numerical Variables	239	(9)
Normal Distributions	248	(18)
Checking for Normality and Normalizing Transformations	266	(15)
Sampling Variability and Sampling Distributions	281	(30)
Statistics and Sampling Variability	282	(9)
The Sampling Distribution of a Sample Mean	291	(11)
The Sampling Distribution of a Sample Proportion	302	(9)
Estimation Using a Single Sample	311	(40)
Point Estimation	312	(7)
A Large-Sample Confidence Interval for a Population Proportion	319	(12)
A Confidence Interval for a Population Mean	331	(14)
Interpreting the Results of Statistical Analyses	345	(6)
Hypothesis Testing Using a Single Sample	351	(54)
Hypotheses and Test Procedures	352	(4)
Errors in Hypothesis Testing	356	(6)
Large-Sample Hypothesis Tests for a Population Proportion	362	(14)
Hypothesis Tests for a Population Mean	376	(14)
Power and Probability of Type II Error	390	(10)
Interpreting the Results of Statistical Analyses	400	(5)
Comparing Two Populations or Treatments	405	(58)
Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples	405	(20)
Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples	425	(11)
Large-Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions	436	(9)
Distribution-Free Procedures for Inferences Concerning a Difference Between Two Population or Treatment Means Using Independent Samples (Optional)	445	(9)
Interpreting the Results of Statistical Analyses	454	(9)
The Analysis of Categorical Data and Goodness-of-Fit Tests	463	(34)
Chi-Squared Tests for Univariate Categorical Data	463	(11)
Tests for Homogeneity and Independence in a Two-Way Table	474	(17)
Interpreting the Results of Statistical Analyses	491	(6)
Simple Linear Regression and Correlation: Inferential Methods	497	(56)
The Simple Linear Regression Model	497	(13)
Inferences Concerning the Slope of the Population Regression Line	510	(11)
Checking Model Adequacy	521	(12)
Inferences Based on the Estimated Regression Line (Optional)	533	(8)
Inferences About the Population Correlation Coefficient (Optional)	541	(4)
Interpreting the Results of Statistical Analyses	545	(8)
Multiple Regression Analysis	553	(58)
Multiple Regression Models	554	(11)
Fitting a Model and Assessing Its Utility	565	(16)
Inferences Based on an Estimated Model	581	(12)
Other Issues in Multiple Regression	593	(18)
The Analysis of Variance	611	(52)
Single-Factor ANOVA and the F Test	612	(14)
Multiple Comparisons	626	(8)
The F Test for a Randomized Block Experiment	634	(9)
Two-Factor ANOVA	643	(12)
Interpreting the Results of Statistical Analyses	655	(8)
Appendix: ANOVA Computations	658	(5)
Appendix: The Binomial Distribution	663	(14)
Appendix: Statistical Tables	677	(18)
Table I Random Numbers	678	(2)
Table II Standard Normal Probabilities (Cumulative z Curve Areas)	680	(2)
Table III t Critical Values	682	(1)
Table IV Tail Areas for t Curves	683	(3)
Table V Curves of β = P(Type II Error) for t Tests	686	(1)
Table VI P-Value Information for the Rank-Sum Test	687	(1)
Table VII Values That Capture Specified Upper-Tail F Curve Areas	688	(4)
Table VIII Critical Values q for the Studentized Range Distribution	692	(1)
Table IX Upper-Tail Areas for Chi-Squared Distributions	693	(2)
Answers to Selected Odd-Numbered Exercises	695	(14)
Index	709