Introductory Statistics, Global Edition
Höfundur: Neil A. Weiss
5.490 kr.
Lýsing:
Weiss’s Introductory Statistics, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding.
This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.
Annað
- Höfundur: Neil A. Weiss
- Útgáfa:10
- Útgáfudagur: 2016-11-23
- Hægt að prenta út 2 bls.
- Hægt að afrita 2 bls.
- Format:Page Fidelity
- ISBN 13: 9781292099736
- Print ISBN: 9781292099729
- ISBN 10: 1292099739
Efnisyfirlit
- Title Page
- Copyright Page
- About the Author
- Contents
- Preface
- Supplements
- Technology Resources
- Data Sources
- Part I Introduction
- Chapter 1 The Nature of Statistics
- Case Study: Top Films of All Time
- 1.1 Statistics Basics
- 1.2 Simple Random Sampling
- 1.3 Other Sampling Designs*
- 1.4 Experimental Designs*
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 1 The Nature of Statistics
- Chapter 2 Organizing Data
- Case Study: World's Richest People
- 2.1 Variables and Data
- 2.2 Organizing Qualitative Data
- 2.3 Organizing Quantitative Data
- 2.4 Distribution Shapes
- 2.5 Misleading Graphs*
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 3 Descriptive Measures
- Case Study: The Beatles' Song Length
- 3.1 Measures of Center
- 3.2 Measures of Variation
- 3.3 Chebyshev's Rule and the Empirical Rule*
- 3.4 The Five-Number Summary; Boxplots
- 3.5 Descriptive Measures for Populations; Use of Samples
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 4 Probability Concepts
- Case Study: Texas Hold'em
- 4.1 Probability Basics
- 4.2 Events
- 4.3 Some Rules of Probability
- 4.4 Contingency Tables; Joint and Marginal Probabilities∗
- 4.5 Conditional Probability*
- 4.6 The Multiplication Rule; Independence∗
- 4.7 Bayes's Rule*
- 4.8 Counting Rules*
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 5 Discrete Random Variables*
- Case Study: Aces Wild on the Sixth at Oak Hill
- 5.1 Discrete Random Variables and Probability Distributions*
- 5.2 The Mean and Standard Deviation of a Discrete Random Variable*
- 5.3 The Binomial Distribution*
- 5.4 The Poisson Distribution*
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 6 The Normal Distribution
- Case Study: Chest Sizes of Scottish Militiamen
- 6.1 Introducing Normally Distributed Variables
- 6.2 Areas under the Standard Normal Curve
- 6.3 Working with Normally Distributed Variables
- 6.4 Assessing Normality; Normal Probability Plots
- 6.5 Normal Approximation to the Binomial Distribution*†
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 7 The Sampling Distribution of the Sample Mean
- Case Study: The Chesapeake and Ohio Freight Study
- 7.1 Sampling Error; the Need for Sampling Distributions
- 7.2 The Mean and Standard Deviation of the Sample Mean
- 7.3 The Sampling Distribution of the Sample Mean
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 8 Confidence Intervals for One Population Mean
- Case Study: Bank Robberies: A Statistical Analysis
- 8.1 Estimating a Population Mean
- 8.2 Confidence Intervals for One Population Mean When σ Is Known
- 8.3 Confidence Intervals for One Population Mean When σ Is Unknown
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 9 Hypothesis Tests for One Population Mean
- Case Study: Gender and Sense of Direction
- 9.1 The Nature of Hypothesis Testing
- 9.2 Critical-Value Approach to Hypothesis Testing†
- 9.3 P-Value Approach to Hypothesis Testing†
- 9.4 Hypothesis Tests for One Population Mean When σ Is Known
- 9.5 Hypothesis Tests for One Population Mean When σ Is Unknown
- 9.6 The Wilcoxon Signed-Rank Test*
- 9.7 Type II Error Probabilities; Power∗
- 9.8 Which Procedure Should Be Used?**
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 10 Inferences for Two Population Means
- Case Study: Dexamethasone Therapy and IQ
- 10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
- 10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equ
- 10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed
- 10.4 The Mann-Whitney Test*
- 10.5 Inferences for Two Population Means, Using Paired Samples
- 10.6 The Paired Wilcoxon Signed-Rank Test*
- 10.7 Which Procedure Should Be Used?**
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 11 Inferences for Population Standard Deviations*
- Case Study: Speaker Woofer Driver Manufacturing
- 11.1 Inferences for One Population Standard Deviation*
- 11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 12 Inferences for Population Proportions
- Case Study: Arrested Youths
- 12.1 Confidence Intervals for One Population Proportion
- 12.2 Hypothesis Tests for One Population Proportion
- 12.3 Inferences for Two Population Proportions
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 13 Chi-Square Procedures
- Case Study: Eye and Hair Color
- 13.1 The Chi-Square Distribution
- 13.2 Chi-Square Goodness-of-Fit Test
- 13.3 Contingency Tables; Association
- 13.4 Chi-Square Independence Test
- 13.5 Chi-Square Homogeneity Test
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 14 Descriptive Methods in Regression and Correlation
- Case Study: Healthcare: Spending and Outcomes
- 14.1 Linear Equations with One Independent Variable
- 14.2 The Regression Equation
- 14.3 The Coefficient of Determination
- 14.4 Linear Correlation
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 15 Inferential Methods in Regression and Correlation
- Case Study: Shoe Size and Height
- 15.1 The Regression Model
- 15.2 Inferences for the Slope of the Population Regression Line
- 15.3 Estimation and Prediction
- 15.4 Inferences in Correlation
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Chapter 16 Analysis of Variance (ANOVA)
- Case Study: Self-Perception and Physical Activity
- 16.1 The F-Distribution
- 16.2 One-Way ANOVA: The Logic
- 16.3 One-Way ANOVA: The Procedure
- 16.4 Multiple Comparisons*†
- 16.5 The Kruskal-Wallis Test*
- Chapter in Review
- Review Problems
- Focusing on Data Analysis
- Case Study Discussion
- Biography
- Appendix A Statistical Tables
- Appendix B Answers to Selected Exercises
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z
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- Gerð : 208
- Höfundur : 9717
- Útgáfuár : 2016
- Leyfi : 380
