Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

Features of the ninth edition:

• Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics

• Up-to-date journal excerpts reflecting contemporary styles in statistical reporting

• Strong emphasis on data visualization

• Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios

About this book

Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students

• interpret information in tables and figures,

• perform simple calculations to further their interpretations,

• critique data-reporting techniques, and

• evaluate procedures used to collect data.

The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

Features of the ninth edition:

• Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics

• Up-to-date journal excerpts reflecting contemporary styles in statistical reporting

• Strong emphasis on data visualization

• Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios

About this book

Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students

• interpret information in tables and figures,

• perform simple calculations to further their interpretations,

• critique data-reporting techniques, and

• evaluate procedures used to collect data.

The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.

• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions.

• Students get practice in computing all the major statistics usually covered in an introductory statistics course.

• Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks.

• Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them.

• Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed.

• Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide.

• Using real data for analysis makes the traditional statistics class come alive.

• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions.

• Students get practice in computing all the major statistics usually covered in an introductory statistics course.

• Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks.

• Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them.

• Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed.

• Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide.

• Using real data for analysis makes the traditional statistics class come alive.

• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation.

• In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation.

• Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included.

• Computational procedures are illustrated with step-by-step, easy-to-follow examples.

• End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts.

• Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics.

• Thoroughly field-tested for student comprehension.

• This book will please you and your students with its clarity of presentation.

• Outstanding supplement for students who need to describe term project data.

• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation.

• In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation.

• Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included.

• Computational procedures are illustrated with step-by-step, easy-to-follow examples.

• End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts.

• Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics.

• Thoroughly field-tested for student comprehension.

• This book will please you and your students with its clarity of presentation.

• Outstanding supplement for students who need to describe term project data.

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

Features of the ninth edition:

• Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics

• Up-to-date journal excerpts reflecting contemporary styles in statistical reporting

• Strong emphasis on data visualization

• Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios

About this book

Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students

• interpret information in tables and figures,

• perform simple calculations to further their interpretations,

• critique data-reporting techniques, and

• evaluate procedures used to collect data.

The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

Features of the ninth edition:

• Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics

• Up-to-date journal excerpts reflecting contemporary styles in statistical reporting

• Strong emphasis on data visualization

• Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios

About this book

Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students

• interpret information in tables and figures,

• perform simple calculations to further their interpretations,

• critique data-reporting techniques, and

• evaluate procedures used to collect data.

The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.

• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions.

• Students get practice in computing all the major statistics usually covered in an introductory statistics course.

• Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks.

• Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them.

• Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed.

• Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide.

• Using real data for analysis makes the traditional statistics class come alive.

• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions.

• Students get practice in computing all the major statistics usually covered in an introductory statistics course.

• Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks.

• Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them.

• Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed.

• Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide.

• Using real data for analysis makes the traditional statistics class come alive.

• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation.

• In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation.

• Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included.

• Computational procedures are illustrated with step-by-step, easy-to-follow examples.

• End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts.

• Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics.

• Thoroughly field-tested for student comprehension.

• This book will please you and your students with its clarity of presentation.

• Outstanding supplement for students who need to describe term project data.

• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation.

• In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation.

• Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included.

• Computational procedures are illustrated with step-by-step, easy-to-follow examples.

• End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts.

• Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics.

• Thoroughly field-tested for student comprehension.

• This book will please you and your students with its clarity of presentation.

• Outstanding supplement for students who need to describe term project data.