Introductory Statistics: Alternate Version / Edition 4

Introductory Statistics: Alternate Version / Edition 4

by Neil A. Weiss
     
 

ISBN-10: 0201545675

ISBN-13: 9780201545678

Pub. Date: 10/01/1996

Publisher: Addison-Wesley

Product Details

ISBN-13:
9780201545678
Publisher:
Addison-Wesley
Publication date:
10/01/1996
Pages:
939
Product dimensions:
8.27(w) x 9.60(h) x 1.94(d)

Related Subjects

Table of Contents

Part I Introduction 1(40)
The Nature of Statistics
3(38)
Two Kinds of Statistics
4(2)
Classifying Statistical Studies
6(3)
The Development of Statistics
9(1)
Using the Computer (Optional)
10(8)
Is a Study Necessary?
18(1)
Simple Random Sampling
18(8)
Other Sampling Procedures
26(5)
Observational Studies and Designed Experiments
31(10)
Chapter Review
34(4)
Case Study: Are Americans Lazy?
38(3)
Part II Descriptive Statistics 41(138)
Organizing Data
43(58)
Variables and Data
44(5)
Grouping Data
49(13)
Graphs and Charts
62(14)
Stem-and-Leaf Diagrams
76(7)
Distribution Shapes; Symmetry and Skewness
83(7)
Misleading Graphs
90(11)
Chapter Review
94(4)
Case Study: Infant Mortality in Developed Nations
98(3)
Descriptive Measures
101(78)
Measures of Central Tendency
102(11)
Summation Notation; the Sample Mean
113(4)
Measures of Dispersion; the Sample Standard Deviation
117(12)
Interpretation of the Standard Deviation; z-Scores
129(9)
Computing x and s for Grouped Data
138(8)
The Five-Number Summary; Boxplots
146(14)
Descriptive Measures for Populations; Use of Samples
160(19)
Chapter Review
172(5)
Case Study: Per Capita Income by State
177(2)
Part III Probability, Random Variables, and Sampling Distributions 179(258)
Probability Concepts
181(84)
Introduction; Classical probability
182(8)
Events
190(10)
Some Rules of Probability
200(9)
Contingency Tables; Joint and Marginal Probabilities
209(6)
Conditional Probability
215(9)
The Multiplication Rule; Independence
224(11)
Bayes's Rule (Optional)
235(8)
Counting Rules (Optional)
243(22)
Chapter Review
256(6)
Case Study: Lotto---The Arizona State Lottery
262(3)
Discrete Random Variables
265(70)
Discrete Random Variables; Probability Distributions
266(11)
The Mean and Standard Deviation of a Discrete Random Variable
277(12)
Binomial Coefficients; Bernoulli Trials
289(8)
The Binomial Distribution
297(16)
The Mean and Standard Deviation of a Binomial Random Variable
313(4)
The Poisson Distribution (Optional)
317(18)
Chapter Review
328(5)
Case Study: Aces Wild on the Sixth at Oak Hill
333(2)
The Normal Distribution
335(68)
The Standard Normal Curve
336(12)
Normal Curves
348(10)
Normally Distributed Populations
358(11)
Normally Distributed Random Variables
369(11)
Normal Probability Plots
380(8)
The Normal Approximation to the Binomial Distribution
388(15)
Chapter Review
397(4)
Case Study: Chest Sizes of Scottish Militiamen
401(2)
The Sampling Distribution of the Mean
403(34)
Sampling Error; the Need for Sampling Distributions
404(16)
The Mean and Standard Deviation of x
411
The Sampling Distribution of the Mean
420(17)
Chapter Review
431(4)
Case Study: The Chesapeake and Ohio Freight Study
435(2)
Part IV Inferential Statistics 437(296)
Confidence Intervals for One Population Mean
439(42)
Estimating a Population Mean
440(7)
Large-Sample Confidence Intervals for One Population Mean
447(8)
Sample-Size Considerations
455(5)
Confidence Intervals for One Normal Population Mean
460(21)
Chapter Review
475(3)
Case Study: Zooplankton Nutrition in the Gulf of Mexico
478(3)
Hypothesis Tests for One Population Mean
481(92)
The Natural of Hypothesis Testing
482(9)
Terms, Errors, and Hypotheses
491(9)
Large-Sample Hypothesis Tests for One Population Mean
500(13)
Type II Error Probabilities; Power (Optional)
513(10)
P-Values
523(13)
Hypothesis Tests for One Normal Population Mean
536(11)
The Wilcoxon Signed-Rank Test (Optional)
547(12)
Which Procedure Should Be Used? (Optional)
559(14)
Chapter Review
565(5)
Case Study: Effects of Brewery Effluent on Soil
570(3)
Inferences for Two Population Means
573(80)
Large-Sample Inferences for Two Population Means Using Independent Samples
574(11)
Inferences for the Means of Two Normal Populations Using Independent Samples (Standard Deviations Assumed Equal)
585(12)
Inferences for the Means of Two Normal Populations Using Independent Samples (Standard Deviations Not Assumed Equal)
597(11)
The Mann--Whitney Test (Optional)
608(13)
Inferences for Two Population Means Using Paired Samples
621(15)
Which Procedure Should Be Used? (Optional)
636(17)
Chapter Review
644(6)
Case Study: Breast Milk and IQ
650(3)
Inferences for Population Proportions
653(34)
Confidence Intervals for One Population Proportion
654(12)
Hypothesis Tests for One Population Proportion
666(5)
Inferences for Two Population Proportions Using Independent Samples
671(16)
Chapter Review
681(3)
Case Study: Doctors Polled on AIDS Views
684(3)
Chi-Square Procedures
687(46)
The Chi-Square Distribution
688(3)
Chi-Square Goodness-of-Fit Test
691(8)
Chi-Square Independence Test
699(17)
Inferences for a Population Standard Deviation
716(17)
Chapter Review
726(4)
Case Study: Time On or Off the Job: Which Do Americans Enjoy More?
730(3)
Part V Regression, Correlation, and ANOVA 733(293)
Descriptive Methods in Regression and Correlation
735(58)
Linear Equations with One Independent Variable
736(6)
The Regression Equation
742(17)
The Coefficient of Determination
759(11)
Linear Correlation
770(8)
Multiple Regression (Optional)
778(15)
Chapter Review
786(5)
Case Study: Fat Consumption and Prostate Cancer
791(2)
Inferential Methods in Regression and Correlation
793(72)
The Regression Model; Analysis of Residuals
794(16)
Inferences for the Slope of the Population Regression Line
810(8)
Estimation and Prediction
818(11)
Inferences in Correlation
829(4)
Multiple Regression (Optional)
833(17)
Testing for Normality (Optional)
850(15)
Chapter Review
855(8)
Case Study: Fat Consumption and Prostate Cancer
863(2)
Analysis of Variance (ANOVA)
865(72)
The F-Distribution
866(2)
One-Way ANOVA: The Logic
868(7)
One-Way ANOVA: The Procedure
875(12)
Multiple Comparisons (Optional)
887(10)
The Kruskal-Wallis Test (Optional)
897(10)
Two-Way ANOVA: The Logic
907(14)
Two-Way ANOVA: The Procedure
921
Chapter Review
931(7)
Case Study: Heavy Drinking Among College Students
938
Appendixes A-1(1)
Appendix A Statistical Tables
A-3(1)
I Binomial Probabilities
A-4(1)
II Areas under the standard normal curve
A-8(1)
III Normal scores
A-10(1)
IV Values of tα
A-12(1)
V Values of X2α
A-13(1)
VI Critical values for a Wilcoxon signed-rank test
A-14(1)
VII Critical values for a one-tailed Mann--Whitney test with α = 0.025 or a two-tailed Mann--Whitney test with α = 0.05
A-16(1)
VIII Critical values for a one-tailed Mann--Whitney test with α = 0.05 or a two-tailed Mann--Whitney test with α = 0.10
A-16(1)
IX Random numbers
A-17(1)
X Values of F0.01
A-18(1)
XI Values of F0.05
A-20(1)
XII Values of q0.01
A-22(1)
XIII Values of q0.05
A-23(1)
XIV Critical values for a correlation test for normality
A-24(1)
Appendix B Focus Database
A-25(1)
Appendix C Answers to Selected Exercises
A-31(1)
Index I-1

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