Understandable Statistics: Concepts and Methods 13th edition

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Charles Henry Brase, Corrinne Pellillo Brase, Jason Dolor, and James Seibert
Publisher: Cengage Learning

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  • Chapter 1: Getting Started
    • 1: Concept Explorations
    • 1.1: What Is Statistics?
    • 1.2: Random Samples
    • 1.3: Introduction to Experimental Design
    • 1: Chapter Review Problems
    • 1: Labs
    • 1: Test Bank

  • Chapter 2: Organizing Data
    • 2: Concept Explorations
    • 2.1: Frequency Distributions, Histograms, and Related Topics
    • 2.2: Bar Graphs, Circle Graphs, and Time-Series Graphs
    • 2.3: Stem-and-Leaf Displays
    • 2: Chapter Review Problems
    • 2: Labs
    • 2: Test Bank

  • Chapter 3: Averages and Variation
    • 3: Concept Explorations
    • 3.1: Measures of Central Tendency: Mode, Median, and Mean
    • 3.2: Measures of Variation
    • 3.3: Percentiles and Box-and-Whisker Plots
    • 3: Chapter Review Problems
    • 3: Cumulative Review Problems: Chapters 1-3
    • 3: Labs
    • 3: Test Bank

  • Chapter 4: Elementary Probability Theory
    • 4: Concept Explorations
    • 4.1: What Is Probability?
    • 4.2: Some Probability Rules—Compound Events
    • 4.3: Trees and Counting Techniques
    • 4: Chapter Review Problems
    • 4: Labs

  • Chapter 5: The Binomial Probability Distribution and Related Topics
    • 5: Concept Explorations
    • 5.1: Introduction to Random Variables and Probability Distributions
    • 5.2: Binomial Probabilities
    • 5.3: Additional Properties of the Binomial Distribution
    • 5.4: The Geometric and Poisson Probability Distributions
    • 5: Chapter Review Problems
    • 5: Labs
    • 5: Test Bank

  • Chapter 6: Normal Curves and Sampling Distributions
    • 6: Concept Explorations
    • 6.1: Graphs of Normal Probability Distributions
    • 6.2: Standard Units and Areas Under the Standard Normal Distribution
    • 6.3: Areas Under Any Normal Curve
    • 6.4: Sampling Distributions
    • 6.5: The Central Limit Theorem
    • 6.6: Normal Approximation to Binomial Distribution and to Distribution
    • 6: Chapter Review Problems
    • 6: Cumulative Review Problems: Chapters 4-6
    • 6: Labs
    • 6: Test Bank

  • Chapter 7: Estimation
    • 7: Concept Explorations
    • 7.1: Estimating μ When σ Is Known
    • 7.2: Estimating μ When σ Is Unknown
    • 7.3: Estimating p in the Binomial Distribution
    • 7.4: Estimating μ1μ2 and p1p2
    • 7: Chapter Review Problems
    • 7: Labs
    • 7: Test Bank

  • Chapter 8: Hypothesis Testing
    • 8: Concept Explorations
    • 8.1: Introduction to Statistical Tests
    • 8.2: Testing the Mean μ
    • 8.3: Testing a Proportion p
    • 8.4: Tests Involving Paired Differences (Dependent Samples)
    • 8.5: Testing μ1μ2 and p1p2 (Independent Samples)
    • 8: Chapter Review Problems
    • 8: Labs
    • 8: Test Bank

  • Chapter 9: Correlation and Regression
    • 9: Concept Explorations
    • 9.1: Scatter Diagrams and Linear Correlation
    • 9.2: Linear Regression and the Coefficient of Determination
    • 9.3: Inferences for Correlation and Regression
    • 9.4: Multiple Regression
    • 9: Chapter Review Problems
    • 9: Cumulative Review Problems: Chapters 7-9
    • 9: Labs
    • 9: Test Bank

  • Chapter 10: Chi-Square and F Distributions
    • 10: Concept Explorations
    • 10.1: Chi-Square: Tests of Independence and of Homogeneity
    • 10.2: Chi-Square: Goodness of Fit
    • 10.3: Testing and Estimating a Single Variance or Standard Deviation
    • 10.4: Testing Two Variances
    • 10.5: One-Way ANOVA: Comparing Several Sample Means
    • 10.6: Introduction to Two-Way ANOVA
    • 10: Chapter Review Problems
    • 10: Labs
    • 10: Test Bank

  • Chapter 11: Nonparametric Statistics
    • 11: Concept Explorations
    • 11.1: The Sign Test for Matched Pairs
    • 11.2: The Rank-Sum Test
    • 11.3: Spearman Rank Correlation
    • 11.4: Runs Test for Randomness
    • 11: Chapter Review Problems
    • 11: Cumulative Review Problems: Chapters 10-11
    • 11: Labs
    • 11: Test Bank

  • Chapter A: Appendices
    • A.1: Bayes's Theorem
    • A.2: The Hypergeometric Probability Distribution

  • Chapter PJT: Project
    • PJT.1: Project


Guide students in overcoming apprehension and mastering statistics with Brase and Brase Understandable Statistics: Concepts and Methods, 13th Edition. This thorough, yet reader-friendly, program provides clear guidance and informal advice while emphasizing the connection between statistics and today's world. Current, real data is drawn from journals, periodicals, and news sources. Updated learning features and exercises strengthen critical thinking and statistical literacy. This edition emphasizes the P-value method of hypothesis testing and offers optional coverage of graphing calculators, Excel®, Minitab® and other statistical software. The WebAssign component for this text engages students with an interactive eTextBook and several other resources.

Instructor Product Features

  • Course Packs - Coming Fall 2022 - with ready-to-use assignments were built by subject matter experts specifically for this textbook. They are designed to save you time and can be easily customized to meet your teaching goals. Course Packs include Stats in Practice Video Questions, Labs, and Project Milestones.
  • Test Banks (TBs) - Coming Fall 2022 - comprise a pool of over 1,000 assessments for use in quizzes, tests, and exams.
  • Instructor Resources include Concept Videos. Concept Videos questions are 7-10 minutes in length and are designed to help students with big picture understanding of statistics by discussing a concept followed by two to three comprehension questions. Concept Videos are also available as a standalone resource for lectures. Lecture PowerPoint slides are also available.
  • Use the Textbook Edition Upgrade Tool to automatically update all of your assignments from the previous edition to corresponding questions in this textbook. You can find help on how to use this tool in the WebAssign Instructor Help.

Student Learning Tools

  • Read It links under each question quickly jump to the corresponding section of a complete, interactive eTextbook that lets students highlight and take notes as they read.
  • Watch It videos provide step-by-step instruction through short, engaging videos that are ideal for visual learners.
  • Master It (MI) tutorials are an optional student-help tool available within select questions for just-in-time support. Students can use the tutorial to guide them through the problem-solving process step-by-step using different numbers.
  • Student Resources include Data Analysis Tool Instructions/Tech Guides for the software listed below and can be used stand-alone or in conjunction with assessment items (Homework, Labs, or Project Milestones).
    • TI-83/84 and TI-Nspire Calculator
    • Excel
    • JMP
    • Minitab
    • SPSS
    • R

Content Available for Statistics

  • View several of the often-available question types in Statistics content here. You can see which questions are available for your specific course below.

Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

Question Group Key
MI - Master It
MI.SA - Stand Alone Master It
SIP - Stats in Practice Video Question
PJT - Project Milestone
TB - Test Bank
R - Review
XP - Extra Problem
EP - Expanded Problem
FB - Feedback Question
S - SALT
ST - SALT Tutorial
SYS - Select Your Scenario
Lab - Lab
CV - Concept Video Question


Question Availability Color Key
BLACK questions are available now
GRAY questions are under development


Group Quantity Questions
Chapter PJT: Project
PJT.1 001 002 003 004
Chapter 1: Getting Started
1.CE 001.CV 001.SIP 002.CV 002.SIP 003.CV 003.SIP 004.SIP
1.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
Chapter 2: Organizing Data
2.CE 001.CV 001.SIP
2.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
2.1 ST.001.S SYS.001.S
Chapter 3: Averages and Variation
3.CE 001.CV 001.SIP 002.CV
3.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
3.1 ST.001.S
3.2 ST.001.S
3.3 ST.001.S SYS.001.S
Chapter 4: Elementary Probability Theory
4.CE 001.CV 001.SIP
4.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
Chapter 5: The Binomial Probability Distribution and Related Topics
5.CE 001.CV 001.SIP 002.SIP
5.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
5.2 ST.001.S SYS.001.S
Chapter 6: Normal Curves and Sampling Distributions
6.CE 001.CV 001.SIP 002.CV 002.SIP 003.CV
6.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
6.1 ST.001.S ST.002.S
6.2 ST.001.S ST.002.S
6.3 SYS.001.S SYS.002.S SYS.003.S
Chapter 7: Estimation
7.CE 001.CV 001.SIP 002.CV 002.SIP 003.CV 003.SIP
7.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
7.2 ST.001.S SYS.001.S
7.4 ST.001.S ST.002.S SYS.001.S
Chapter 8: Hypothesis Testing
8.CE 001.CV 001.SIP 002.CV 002.SIP 003.CV 003.SIP 004.CV 004.SIP 005.SIP
8.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
8.2 ST.001.S SYS.001.S
8.3 ST.001.S SYS.001.S
8.5 ST.001.S SYS.001.S
Chapter 9: Correlation and Regression
9.CE 001.CV 001.SIP 002.CV 002.SIP 003.CV 003.SIP
9.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
Chapter 10: Chi-Square and F Distributions
10.CE 001.CV 001.SIP 002.CV 002.SIP 003.SIP 004.SIP
10.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
Chapter 11: Nonparametric Statistics
11.CE 001.CV 001.SIP
11.Lab 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
 Chapter 12
12 0  
 Chapter 13
13 0  
Total 0 (143)