Für diesen Artikel ist leider kein Bild verfügbar.

Instructor's Solutions Manual for Introductory Statistics, MyLab Revision

Neil Weiss (Autor)

Online Resource
888 Seiten
2019 | 10th edition
Pearson (Hersteller)
978-0-13-519051-7 (ISBN)
Preis auf Anfrage
  • Titel nicht im Sortiment
  • Artikel merken

The late Neil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss taught statistics, probability, and mathematics — from the freshman level to the advanced graduate level — for more than 30 years.    In recognition of his excellence in teaching, Dr. Weiss received the Dean’s Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He also was runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Dr. Weiss’s comprehensive knowledge and experience ensure that his texts are mathematically and statistically accurate, as well as pedagogically sound.    In addition to his numerous research publications, Dr. Weiss was the author of A Course in Probability (Addison-Wesley, 2006). He also authored or coauthored books in finite mathematics, statistics, and real analysis. His texts, well known for their precision, readability, and pedagogical excellence, are used worldwide.    Dr. Weiss was a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration in the book Introductory Statistics (AddisonWesley,1982). Since this first publication, Neil Weiss’s work continues to inspire future statisticians and current students of statistics alike.

∗Indicates optional material.

∗∗Indicates optional material on the WeissStats site.




PART I: Introduction

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

 

PART II: Descriptive Statistics

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

 

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

 

PART III: Probability, Random Variables, and Sampling Distributions

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 218

        Review Problems

        Focusing on Data Analysis

        Case Study Discussion

        Biography

 

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

 

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

 

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

 

PART IV: Inferential Statistics

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

 

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

 

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 Equal

10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal

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

 

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

 

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

 

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

 

PART V: Regression, Correlation, and ANOVA

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

 

15. Inferential Methods in Regression and Correlation

        Case Study: Shoe Size and Height

15.1 The Regression Model; Analysis of Residuals

15.2 Inferences for the Slope of the Population Regression Line

15.3 Estimation and Prediction

15.4 Inferences in Correlation

15.5 Testing for Normality∗∗

        Chapter in Review

        Review Problems

        Focusing on Data Analysis

        Case Study Discussion

        Biography

 

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

 

PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA∗∗

MODULE A: Multiple Regression Analysis

        Case Study: Automobile Insurance Rates

A.1 The Multiple Linear Regression Model

A.2 Estimation of the Regression Parameters

A.3 Inferences Concerning the Utility of the Regression Model

A.4 Inferences Concerning the Utility of Particular Predictor Variables

A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response

A.6 Checking Model Assumptions and Residual Analysis

Module in Review

        Review Problems

        Focusing on Data Analysis

        Case Study Discussion

        Answers to Selected Exercises

        Index

 

MODULE B: Model Building in Regression

        Case Study: Automobile Insurance Rates–Revisited

B.1 Transformations to Remedy Model Violations

B.2 Polynomial Regression Model

B.3 Qualitative Predictor

B.4 Multicollinearity

B.5 Model Selection: Stepwise Regression

B.6 Model Selection: All-Subsets Regression

B.7 Pitfalls and Warnings

Module in Review

        Review Problems

        Focusing on Data Analysis

        Case Study Discussion

        Answers to Selected Exercises

        Index

 

MODULE C: Design of Experiments and Analysis of Variance

        Case Study: Dental Hygiene: Which Toothbrush?

C.1 Factorial Designs

C.2 Two-Way ANOVA: The Logic

C.3 Two-Way ANOVA: The Procedure

C.4 Two-Way ANOVA: Multiple Comparisons

C.5 Randomized Block Designs

C.6 Randomized Block ANOVA: The Logic

C.7 Randomized Block ANOVA: The Procedure

C.8 Randomized Block ANOVA: Multiple Comparisons

C.9 Friedman’s Nonparametric Test for the Randomized Block Design

        Module in Review

        Review Problems

        Focusing on Data Analysis

        Case Study Discussion

 

Answers to Selected Exercises

Index

Appendix A: Statistical Tables

Appendix B: Answers to Selected Exercises

Index

Photo Credits

 

∗Indicates optional material.

∗∗Indicates optional material on the WeissStats site.

Erscheint lt. Verlag 28.8.2019
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik
ISBN-10 0-13-519051-7 / 0135190517
ISBN-13 978-0-13-519051-7 / 9780135190517
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich