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The Resource Introductory statistics, Neil A. Weiss, School of Mathematical and Statistical Sciences, Arizona State University ; biographies by Carol A. Weiss

Introductory statistics, Neil A. Weiss, School of Mathematical and Statistical Sciences, Arizona State University ; biographies by Carol A. Weiss

Label
Introductory statistics
Title
Introductory statistics
Statement of responsibility
Neil A. Weiss, School of Mathematical and Statistical Sciences, Arizona State University ; biographies by Carol A. Weiss
Creator
Contributor
Subject
Genre
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorName
Weiss, N. A.
Illustrations
illustrations
Index
index present
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
Weiss, Carol A
http://library.link/vocab/subjectName
Statistics
Label
Introductory statistics, Neil A. Weiss, School of Mathematical and Statistical Sciences, Arizona State University ; biographies by Carol A. Weiss
Instantiates
Publication
Copyright
Note
Includes index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
  • 1.2.
  • Biography
  • ch. 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
  • Simple Random Sampling
  • 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
  • ch. 7
  • 1.3.
  • 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
  • Other Sampling Designs*
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • pt. IV
  • Inferential Statistics
  • ch. 8
  • Confidence Intervals for One Population Mean
  • Case Study: Bank Robberies: A Statistical Analysis
  • 8.1.
  • Estimating a Population Mean
  • 1.4.
  • 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
  • ch. 9
  • Experimental Designs*
  • 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
  • Chapter in Review
  • 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
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 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
  • Focusing on Data Analysis
  • 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?**
  • Case Study Discussion
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 11
  • Inferences for Population Standard Deviations*
  • Case Study: Speaker Woofer Driver Manufacturing
  • 11.1.
  • Inferences for One Population Standard Deviation*
  • Machine generated contents note:
  • Biography
  • 11.2.
  • Inferences for Two Population Standard Deviations, Using Independent Samples*
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 12
  • Inferences for Population Proportions
  • Case Study: Arrested Youths
  • pt. II
  • 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
  • Descriptive Statistics
  • Biography
  • ch. 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
  • ch. 2
  • 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
  • pt. V
  • Organizing Data
  • Regression, Correlation, and ANOVA
  • ch. 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
  • Case Study: World's Richest People
  • 14.4.
  • Linear Correlation
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 15
  • Inferential Methods in Regression and Correlation
  • Case Study: Shoe Size and Height
  • 2.1.
  • 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**
  • Variables and Data
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 16
  • Analysis of Variance (ANOVA)
  • Case Study: Self-Perception and Physical Activity
  • 16.1.
  • The F-Distribution
  • 2.2.
  • 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
  • Organizing Qualitative Data
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • pt. 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
  • pt. I
  • 2.3.
  • 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
  • Organizing Quantitative Data
  • 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.
  • 2.4.
  • Transformations to Remedy Model Violations
  • B.2.
  • Polynomial Regression Model
  • B.3.
  • Qualitative Predictor Variables
  • B.4.
  • Multicollinearity
  • B.5.
  • Model selection: stepwise Regression
  • B.6.
  • Distribution Shapes
  • 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
  • 2.5.
  • 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
  • Misleading Graphs*
  • 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
  • Chapter in Review
  • Module in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Answers to Selected Exercises
  • Index
  • Appendixes
  • Appendix A
  • Statistical Tables
  • Appendix B
  • Review Problems
  • Answers to Selected Exercises
  • Focusing on Data Analysis
  • Case Study Discussion
  • Introduction
  • Biography
  • ch. 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*
  • ch. 1
  • 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
  • pt. III
  • The Nature of Statistics
  • Probability, Random Variables, and Sampling Distributions
  • ch. 4
  • Probability Concepts
  • Case Study: Texas Hold'em
  • 4.1.
  • Probability Basics
  • 4.2.
  • Events
  • 4.3.
  • Some Rules of Probability
  • Case Study: Top Films of All Time
  • 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*
  • 1.1.
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 5
  • Discrete Random Variables*
  • Case Study: Aces Wild on the Sixth at Oak Hill
  • 5.1.
  • Discrete Random Variables and Probability Distributions*
  • Statistics Basics
  • 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
Control code
ocn880349855
Dimensions
29 cm
Edition
10th edition
Extent
1 volume (various pagings)
Isbn
9780321989178
Lccn
2014019105
Media category
unmediated
Media MARC source
rdamedia
Other physical details
illustrations (some color)
System control number
(OCoLC)880349855
Label
Introductory statistics, Neil A. Weiss, School of Mathematical and Statistical Sciences, Arizona State University ; biographies by Carol A. Weiss
Publication
Copyright
Note
Includes index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
  • 1.2.
  • Biography
  • ch. 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
  • Simple Random Sampling
  • 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
  • ch. 7
  • 1.3.
  • 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
  • Other Sampling Designs*
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • pt. IV
  • Inferential Statistics
  • ch. 8
  • Confidence Intervals for One Population Mean
  • Case Study: Bank Robberies: A Statistical Analysis
  • 8.1.
  • Estimating a Population Mean
  • 1.4.
  • 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
  • ch. 9
  • Experimental Designs*
  • 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
  • Chapter in Review
  • 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
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 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
  • Focusing on Data Analysis
  • 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?**
  • Case Study Discussion
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 11
  • Inferences for Population Standard Deviations*
  • Case Study: Speaker Woofer Driver Manufacturing
  • 11.1.
  • Inferences for One Population Standard Deviation*
  • Machine generated contents note:
  • Biography
  • 11.2.
  • Inferences for Two Population Standard Deviations, Using Independent Samples*
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 12
  • Inferences for Population Proportions
  • Case Study: Arrested Youths
  • pt. II
  • 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
  • Descriptive Statistics
  • Biography
  • ch. 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
  • ch. 2
  • 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
  • pt. V
  • Organizing Data
  • Regression, Correlation, and ANOVA
  • ch. 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
  • Case Study: World's Richest People
  • 14.4.
  • Linear Correlation
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 15
  • Inferential Methods in Regression and Correlation
  • Case Study: Shoe Size and Height
  • 2.1.
  • 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**
  • Variables and Data
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 16
  • Analysis of Variance (ANOVA)
  • Case Study: Self-Perception and Physical Activity
  • 16.1.
  • The F-Distribution
  • 2.2.
  • 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
  • Organizing Qualitative Data
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • pt. 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
  • pt. I
  • 2.3.
  • 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
  • Organizing Quantitative Data
  • 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.
  • 2.4.
  • Transformations to Remedy Model Violations
  • B.2.
  • Polynomial Regression Model
  • B.3.
  • Qualitative Predictor Variables
  • B.4.
  • Multicollinearity
  • B.5.
  • Model selection: stepwise Regression
  • B.6.
  • Distribution Shapes
  • 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
  • 2.5.
  • 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
  • Misleading Graphs*
  • 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
  • Chapter in Review
  • Module in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Answers to Selected Exercises
  • Index
  • Appendixes
  • Appendix A
  • Statistical Tables
  • Appendix B
  • Review Problems
  • Answers to Selected Exercises
  • Focusing on Data Analysis
  • Case Study Discussion
  • Introduction
  • Biography
  • ch. 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*
  • ch. 1
  • 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
  • pt. III
  • The Nature of Statistics
  • Probability, Random Variables, and Sampling Distributions
  • ch. 4
  • Probability Concepts
  • Case Study: Texas Hold'em
  • 4.1.
  • Probability Basics
  • 4.2.
  • Events
  • 4.3.
  • Some Rules of Probability
  • Case Study: Top Films of All Time
  • 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*
  • 1.1.
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography
  • ch. 5
  • Discrete Random Variables*
  • Case Study: Aces Wild on the Sixth at Oak Hill
  • 5.1.
  • Discrete Random Variables and Probability Distributions*
  • Statistics Basics
  • 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
Control code
ocn880349855
Dimensions
29 cm
Edition
10th edition
Extent
1 volume (various pagings)
Isbn
9780321989178
Lccn
2014019105
Media category
unmediated
Media MARC source
rdamedia
Other physical details
illustrations (some color)
System control number
(OCoLC)880349855

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