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# LaunchPad for Kokoska's Introductory Statistics (Twelve Month Access)

## A Problem Solving ApproachSecond Edition| ©2015 Stephen Kokoska

*Introductory Statistics: A Problem-Solving Approach*is now supported by Sapling Intro Stats, a powerful online homework system in which every problem is an opportunity for a student to learn through meaningful hints, targeted feedback, and detailed solutions. Sapling Intro Stats provides stud...

*Introductory Statistics: A Problem-Solving Approach*is now supported by Sapling Intro Stats, a powerful online homework system in which every problem is an opportunity for a student to learn through meaningful hints, targeted feedback, and detailed solutions. Sapling Intro Stats provides students with support to navigate their homework and ultimately understand statistical concepts and calculations. Read more at

#### Institutional Prices

Loose-Leaf + LaunchPad
$100.00

ISBN:9781319163853

This package includes LaunchPad and Loose-Leaf.

$100.00

Loose-Leaf + Sapling Homework-Only for Statistics (Single-Term Online)
$140.16

ISBN:9781319199333

This package includes Loose-Leaf and Sapling Learning.

$140.16

Loose-Leaf + Sapling Homework-Only for Statistics (Multi-Term Online)
$140.16

ISBN:9781319199401

This package includes Loose-Leaf and Sapling Learning.

$140.16

Hardcover + Sapling Homework-Only for Statistics (Multi-Term Online)
$199.65

ISBN:9781319199388

This package includes Hardcover and Sapling Learning.

$199.65

Hardcover + Sapling Homework-Only for Statistics (Single-Term Online)
$199.65

ISBN:9781319199265

This package includes Hardcover and Sapling Learning.

$199.65

Hardcover + LaunchPad
$199.65

ISBN:9781319163846

This package includes Hardcover and LaunchPad.

$199.65

## Stephen Kokoska blends solid mathematics with a distinctive problem-solving approach.

*Introductory Statistics: A Problem-Solving Approach* is now supported by Sapling Intro Stats, a powerful online homework system in which every problem is an opportunity for a student to learn through meaningful hints, targeted feedback, and detailed solutions. Sapling Intro Stats provides students with support to navigate their homework and ultimately understand statistical concepts and calculations. Read more at

Features

__SAPLINGPLUS FOR STATISTICS__

**SaplingPlus** is designed to teach by correcting students' misconceptions through targeted feedback, meaningful hints, and full solutions, helping teach students’ conceptual understanding and critical thinking in real-world contexts.

**HINTS** attached to select problems encourage critical thinking by providing

suggestions for completing the problem, without giving away the answer.

**TARGETED FEEDBACK** for select problems includes wrong answer specific feedback targeted to students’ misconceptions.

**DETAILED FULLY-WORKED SOLUTIONS**reinforce concepts and provide an in-product study guide for every

problem in the Sapling Learning System.

**LEARNINGCURVE**’s adaptive quizzing encourages students to learn through practice. Through gamified elements, students are challenged to gain points by

submitting correct answers to meet or exceed an instructor-determined score. Faculty and students are then provided detailed analytics on their performance via their own personal study plan with pathways to additional learning tools and insights. This tool focuses

on getting students prepared for their upcoming class.

**THE INTERACTIVE** e-Book provides powerful study tools for

students, multimedia content, and easy customization for instructors. Students can search, highlight, and bookmark specific information, making it easier to study and access key content. Media assets such as data sets, glossary terms, select exercise answers, and

videos are linked within the e-book in SaplingPlus, allowing ease-of-use for students.

**PRE-BUILT CHAPTER HOMEWORK ASSIGNMENTS** are curated assignments containing questions directly from the book, with select questions containing error specific

feedback to guide students to concept mastery.

__SAPLINGPLUS FOR STATISTICS__

**SaplingPlus **provides online questions, including select assignment problems, for every chapter and on every important learning objective in the book. For select questions, students’ incorrect answers receive error-specific feedback based on common misconceptions about the topics.

**HINTS **attached to select problems encourage critical thinking by providing

suggestions for completing the problem, without giving away the answer.

**TARGETED FEEDBACK** for select problems includes wrong answer specific feedback targeted to students’ misconceptions.

**DETAILED FULLY-WORKED SOLUTIONS** reinforce concepts and provide an in-product study guide for every problem in the Sapling Learning System.

**LEARNINGCURVE **Put “testing to learn” into action. Based on educational research, LearningCurve really works: Game-like quizzing motivates students and adapts to their needs based on their performance. It is the perfect tool to get students to engage before class and review after class. Additional reporting tools and metrics help instructors

get a handle on what their class knows and doesn’t know.

**R CODE** is provided to reproduce the complete analysis of all examples presented in the

main text of the book. This resource enables students to learn R further by example.

The code is available online at whitlockschluter3e.zoology.ubc.ca.

**Labs Using R**

A series of self-guided labs directs students through a week-by-week set of activities to reinforce key concepts and introduce the powerful free statistics package R. These labs are available online at whitlockschluter3e.zoology.ubc.ca.

**DATA SETS**

All data used in the book are real, and the data sets are available in electronic form

at whitlockschluter3e.zoology.ubc.ca and in SaplingPlus.

New to This Edition

**LaunchPad**

W.H. Freeman’s breakthrough online course space offers:

**Pre-built Units for each chapter**, curated by experienced educators, with media for each chapter organized and ready to assign or customize to suit your course.**All online resources for the text in one location**, including an interactive e-book, LearningCurve adaptive quizzing, Try It Now exercises, StatTutor, video tech manuals, statistical applets, CrunchIt! statistical software, EESEE case studies, lecture videos, and optional sections.**Intuitive and useful analytics**, with a Gradebook that lets you see how your class is doing individually and as a whole.**A streamlined interface**that lets instructors build an entire course in minutes.

**Kokoska’s unique Solution Trail framework in the text margin serves as a unique guide for approaching and solving the problems. To allow students to put this guidance to use, exercise sets now feature questions that ask students to create their own Solution Trails.**

Revised Solution Trail Exercises

Revised Solution Trail Exercises

Approximately 40% New and Updated Exercises and Examples

Approximately 40% New and Updated Exercises and Examples

**Each exercise set opens with true/false, fill-in-the-blank, and short-answer questions that help students solidify their understanding of essential statistical concepts.**

New Concept Check Exercises

New Concept Check Exercises

**This introductory chapter eases students into the course and Kokoska’s approach. It includes about a dozen exercises that teachers can assign for first day of class, helping students settle into the course more easily.**

New Chapter 0

New Chapter 0

**"Looking Back" recaps key concepts learned in prior chapters.**

Revised Chapter Openers to include "Looking Forward/Looking Back"

Revised Chapter Openers to include "Looking Forward/Looking Back"

**"Looking Forward"**lists the key learning objectives covered in the chapter.

**New "Last Step" Exercises Based on the Chapter Opening Question**

The chapter-opening question is presented again as an exercise at the end of the chapter, to close the concept and application loop, as a last step.

**Most examples include a reference to a related exercise in the end-of-chapter set. With this, students can test their understanding of the examples’ concepts and techniques immediately.**

Try It Now References

Try It Now References

**In addition to Excel, Minitab, and TI-84C, the new edition incorporates output screens from Freeman’s CrunchIt!, as well as from JMP, in the narrative and examples (both software packages are available free of charge in LaunchPad).**

More Statistical Technology Integration

More Statistical Technology Integration

**
LaunchPad for Kokoska's Introductory Statistics (Twelve Month Access)**

Second Edition| ©2015

Stephen Kokoska

# Digital Options

## LaunchPad

Get the e-book, do assignments, take quizzes, prepare for exams and more, to help you achieve success in class.

Learn About LaunchPad Schedule LaunchPad Demo Go to LaunchPad

## Sapling Learning

Do your homework online, with immediate feedback for optimum learning.

**LaunchPad for Kokoska's Introductory Statistics (Twelve Month Access)**

Second Edition| 2015

Stephen Kokoska

## Table of Contents

**0. Why Study Statistics**

The Science of Intuition

The Statistical Inference Procedure

Problem Solving

With a Little Help From Technology

**1. An Introduction to Statistics and Statistical Inference**

1.1 Statistics Today

1.2 Populations, Samples, Probability, and Statistics

1.3 Experiments and Random Samples

**2. Tables and Graphs for Summarizing Data**

2.1 Types of Data

2.2 Bar Charts and Pie Charts

2.3 Stem-and-Leaf Plots

2.4 Frequency Distributions and Histograms

**3. Numerical Summary Measures**

3.1 Measures of Central Tendency

3.2 Measures of Variability

3.3 The Empirical Rule and Measures of Relative Standing

3.4 Five-Number Summary and Box Plots

**4 Probability**

4.1 Experiments, Sample Spaces, and Events

4.2 An Introduction to Probability

4.3 Counting Techniques

4.4 Conditional Probability

4.5 Independence

**5. Random Variables and Discrete Probability Distributions**

5.1 Random Variables

5.2 Probability Distributions for Discrete Random Variables

5.3 Mean, Variance, and Standard Deviation for a Discrete Random Variable

5.4 The Binomial Distribution

5.5 Other Discrete Distributions

**6. Continuous Probability Distributions**

6.1 Probability Distributions for Continuous Random Variables

6.2 The Normal Distribution

6.3 Checking the Normality Assumption

6.4 The Exponential Distribution

**7. Sampling Distributions**

7.1 Statistics, Parameters, and Sampling Distributions

7.2 The Sampling Distribution of the Sample Mean and the Central

Limit Theorem

7.3 The Distribution of the Sample Proportion

**8. Confidence Intervals Based on a Single Sample**

8.1 Point Estimation

8.2 A Confidence Interval for a Population Mean when s Is Known

8.3 A Confidence Interval for a Population Mean when s Is Unknown

8.4 A Large-Sample Confidence Interval for a Population Proportion

8.5 A Confidence Interval for a Population Variance

**9. Hypothesis Tests Based on a Single Sample**

9.1 The Parts of a Hypothesis Test and Choosing the Alternative Hypothesis

9.2 Hypothesis Test Errors

9.3 Hypothesis Tests Concerning a Population Mean when s Is Known

9.4 p Values

9.5 Hypothesis Tests Concerning a Population Mean when s Is Unknown

9.6 Large-Sample Hypothesis Tests Concerning a Population Proportion

9.7 Hypothesis Tests Concerning a Population Variance or Standard Deviation

**10. Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments**

10.1 Comparing Two Population Means Using Independent Samples when Population Variances Are Known

10.2 Comparing Two Population Means Using Independent Samples from Normal Populations

10.3 Paired Data

10.4 Comparing Two Population Proportions Using Large Samples

10.5 Comparing Two Population Variances or Standard Deviations

**11. The Analysis of Variance**

11.1 One-Way ANOVA

11.2 Isolating Differences

11.3 Two-Way ANOVA

**12. Correlation and Linear Regression**

12.1 Simple Linear Regression

12.2 Hypothesis Tests and Correlation

12.3 Inferences Concerning the Mean Value and an Observed Value of Y for x 5 x*

12.4 Regression Diagnostics

12.5 Multiple Linear Regression

**13. Categorical Data and Frequency Tables**

13.1 Univariate Categorical Data, Goodness-of-Fit Tests

13.2 Bivariate Categorical Data, Tests for Homogeneity and Independence

**14. Nonparametric Statistics**

14.1 The Sign Test

14.2 The Signed-Rank Test

14.3 The Rank-Sum Test

14.4 The Kruskal–Wallis Test

14.5 The Runs Test

14.6 Spearman’s Rank Correlation

Notes and Data Sources

Tables Appendix

Answers to Odd-Numbered Exercises

Index

Optional Online Sections

Section 6.5 The Normal Approximation to the Binomial Distribution

Section 12.6 The Polynomial and Qualitative Predictor Models

Section 12.7 Model Selection Procedures

**LaunchPad for Kokoska's Introductory Statistics (Twelve Month Access)**

Second Edition| 2015

Stephen Kokoska

## Authors

### Stephen Kokoska

**Steve Kokoska** received his undergraduate degree from Boston College, and his M.S and Ph.D. from the University of New Hampshire. His initial research interests included the statistical analysis of cancer chemoprevention experiments. He has published a number of research papers in mathematics journals, including: Biometrics, Anticancer Research, and Computer Methods and Programs in Biomedicine. He has also presented results at national conferences, written several books, and been awarded grants from the National Science Foundation, the Center for Rural Pennsylvania, and the Ben Franklin Program.

Steve is a long-time consultant for the College Board and conducted workshops in Brazil, the Dominican Republic, and China. He was the AP Calculus Chief Reader for four years, and has been involved with calculus reform and the use of technology in the classroom. He has been teaching at Bloomsburg University for 25years and recently served as Director of the Honors Program.

Steve has been teaching introductory statistics classes throughout his academic career, and there is no doubt that this is his favorite course. This class (and text) provides students with basic, life-long, quantitative skills that they will use in almost any job and teaches them how to think and reason logically. Steve believes very strongly in data-driven decisions and conceptual understanding through problem solving.

**LaunchPad for Kokoska's Introductory Statistics (Twelve Month Access)**

Second Edition| 2015

Stephen Kokoska

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**LaunchPad for Kokoska's Introductory Statistics (Twelve Month Access)**

Second Edition| 2015

Stephen Kokoska

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