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Seeing Through Statistics 5th edition

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Jessica M. Utts
Publisher: Cengage Learning

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  • Utts Seeing Through Statistics 5e with SALT
  • Math Mindset Modules: Journal Questions - 2025 Update
  • Math Mindset Modules: Multiple-Choice Questions - 2025 Update
  • College Success Toolkit

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  • Chapter 1: The Benefits and Risks of Using Statistics
    • 1: Concept Explorations (5)
    • 1.1: Why Bother Reading This Book?
    • 1.2: What Is Statistics All About?
    • 1.3: Detecting Patterns and Relationships
    • 1.4: Don't Be Deceived by Improper Use of Statistics
    • 1.5: Summary and Conclusions
    • 1: Exercises (27)
    • 1: Test Bank (8)

  • Chapter 2: Reading the News
    • 2: Concept Explorations
    • 2.1: The Educated Consumer of Data
    • 2.2: Origins of News Stories
    • 2.3: How to be a Statistics Sleuth: Seven Critical Components
    • 2.4: Four Hypothetical Examples of Bad Reports
    • 2.5: Planning Your Own Study: Defining the Components in Advance
    • 2: Exercises (18)
    • 2: Test Bank (9)

  • Chapter 3: Measurements, Mistakes, and Misunderstandings
    • 3: Concept Explorations (3)
    • 3.1: Simple Measures Don't Exist
    • 3.2: It's All in the Wording
    • 3.3: Open or Closed Questions: Should Choices Be Given?
    • 3.4: Defining What Is Being Measured
    • 3.5: Defining a Common Language
    • 3: Exercises (52)
    • 3: Test Bank (7)

  • Chapter 4: How to Get a Good Sample
    • 4: Concept Explorations (2)
    • 4.1: Common Research Strategies
    • 4.2: Defining a Common Language
    • 4.3: The Beauty of Sampling
    • 4.4: Simple Random Sampling
    • 4.5: Other Sampling Methods
    • 4.6: Difficulties and Disasters in Sampling
    • 4: Exercises (47)
    • 4: Labs (6)
    • 4: Test Bank (10)

  • Chapter 5: Experiments and Observational Studies
    • 5: Concept Explorations (2)
    • 5.1: Defining a Common Language
    • 5.2: Designing a Good Experiment
    • 5.3: Difficulties and Disasters in Experiments
    • 5.4: Designing a Good Observational Study
    • 5.5: Difficulties and Disasters in Observational Studies
    • 5.6: Random Sample Versus Random Assignment
    • 5: Exercises (47)
    • 5: Test Bank (9)

  • Chapter 6: Getting the Big Picture
    • 6: Concept Explorations
    • 6.1: Final Questions
    • 6: Exercises
    • 6: Test Bank (8)

  • Chapter 7: Summarizing and Displaying Measurement Data
    • 7: Concept Explorations (3)
    • 7.1: Turning Data into Information
    • 7.2: Picturing Data: Stemplots and Histograms
    • 7.3: Five Useful Numbers: A Summary
    • 7.4: Boxplots
    • 7.5: Traditional Measures: Mean, Variance, and Standard Deviation
    • 7.6: Caution: Being Average Isn't Normal
    • 7: Exercises (60)
    • 7: Test Bank (9)

  • Chapter 8: Bell-Shaped Curves and Other Shapes
    • 8: Concept Explorations (4)
    • 8.1: Populations, Frequency Curves, and Proportions
    • 8.2: The Pervasiveness of Normal Curves
    • 8.3: Percentiles and Standardized Scores
    • 8.4: z-Scores and Familiar Intervals
    • 8: Exercises (42)
    • 8: Labs (11)
    • 8: Test Bank (8)

  • Chapter 9: Plots, Graphs, and Pictures
    • 9: Concept Explorations (2)
    • 9.1: Well-Designed Statistical Pictures
    • 9.2: Pictures of Categorical Data
    • 9.3: Pictures of Measurement Variables
    • 9.4: Pictures of Trends Across Time
    • 9.5: Difficulties and Disasters in Plots, Graphs, and Pictures
    • 9.6: A Checklist for Statistical Pictures
    • 9: Exercises (36)
    • 9: Labs (5)
    • 9: Test Bank (8)

  • Chapter 10: Relationships Between Measurement Variables
    • 10: Concept Explorations (5)
    • 10.1: Statistical Relationships
    • 10.2: Strength Versus Statistical Significance
    • 10.3: Measuring Strength Through Correlation
    • 10.4: Specifying Linear Relationships with Regression
    • 10: Exercises (39)
    • 10: Labs (6)
    • 10: Test Bank (9)

  • Chapter 11: Relationships Can Be Deceiving
    • 11: Concept Explorations
    • 11.1: Illegitimate Correlations
    • 11.2: Legitimate Correlation Does Not Imply Causation
    • 11.3: Some Reasons for Relationships Between Variables
    • 11.4: Confirming Causation
    • 11: Exercises (40)
    • 11: Test Bank (7)

  • Chapter 12: Relationships Between Categorical Variables
    • 12: Concept Explorations (1)
    • 12.1: Displaying Relationships Between Categorical Variables: Contingency Tables
    • 12.2: Relative Risk, Increased Risk, and Odds
    • 12.3: Misleading Statistics about Risk
    • 12.4: Simpson's Paradox: The Missing Third Variable
    • 12: Exercises (44)
    • 12: Labs (5)
    • 12: Test Bank (7)

  • Chapter 13: Statistical Significance for 2 × 2 Tables
    • 13: Concept Explorations (2)
    • 13.1: Measuring the Strength of the Relationship
    • 13.2: Steps for Assessing Statistical Significance
    • 13.3: The Chi-Square Test
    • 13.4: Practical Versus Statistical Significance
    • 13: Exercises (50)
    • 13: Labs (6)
    • 13: Test Bank (7)

  • Chapter 14: Understanding Probability and Long-Term Expectations
    • 14: Concept Explorations (3)
    • 14.1: Probability
    • 14.2: The Relative-Frequency Interpretation
    • 14.3: The Personal-Probability Interpretation
    • 14.4: Applying Some Simple Probability Rules
    • 14.5: When Will It Happen?
    • 14.6: Long-Term Gains, Losses, and Expectations
    • 14: Exercises (37)
    • 14: Test Bank (9)

  • Chapter 15: Understanding Uncertainty through Simulation
    • 15: Concept Explorations
    • 15.1: Mimicking Reality through Simulation
    • 15.2: Simulating Probabilities
    • 15.3: Simulating the Chi-Square Test
    • 15.4: Randomization Tests
    • 15: Exercises (25)
    • 15: Test Bank

  • Chapter 16: Psychological Influences on Personal Probability
    • 16: Concept Explorations
    • 16.1: Revisiting Personal Probability
    • 16.2: Equivalent Probabilities but Different Decisions
    • 16.3: How Personal Probabilities Can Be Distorted
    • 16.4: Optimism, Reluctance to Change, and Overconfidence
    • 16.5: Calibrating Personal Probabilities of Experts
    • 16.6: Tips for Improving Your Personal Probabilities and Judgments
    • 16: Exercises (24)
    • 16: Test Bank

  • Chapter 17: When Intuition Differs from Relative Frequency
    • 17: Concept Explorations
    • 17.1: Revisiting Relative Frequency
    • 17.2: Coincidences
    • 17.3: The Gambler's Fallacy
    • 17.4: Confusion of the Inverse
    • 17.5: Using Expected Values to Make Wise Decisions
    • 17: Exercises (29)
    • 17: Test Bank (7)

  • Chapter 18: Understanding the Economic News
    • 18: Concept Explorations
    • 18.1: Statistics and the Economy
    • 18.2: Cost of Living: The Consumer Price Index
    • 18.3: Uses of the Consumer Price Index
    • 18.4: Criticisms of the Consumer Price Index
    • 18.5: Seasonal Adjustments: Reporting the Consumer Price Index
    • 18.6: Economic Indicators
    • 18: Exercises (27)
    • 18: Test Bank

  • Chapter 19: The Diversity of Samples from the Same Population
    • 19: Concept Explorations (3)
    • 19.1: Setting the Stage
    • 19.2: What to Expect of Sample Proportions
    • 19.3: What to Expect of Sample Means
    • 19.4: What to Expect in Other Situations
    • 19.5: Simulated Proportions and Means
    • 19: Exercises (24)
    • 19: Labs (6)
    • 19: Test Bank (6)

  • Chapter 20: Estimating Proportions with Confidence
    • 20: Concept Explorations (2)
    • 20.1: Confidence Intervals
    • 20.2: Three Examples of Confidence Intervals from the Media
    • 20.3: Constructing a Confidence Interval for a Proportion
    • 20: Exercises (35)
    • 20: Labs (6)
    • 20: Test Bank (5)

  • Chapter 21: The Role of Confidence Intervals in Research
    • 21: Concept Explorations (3)
    • 21.1: Confidence Intervals for Populations Means
    • 21.2: Confidence Intervals for the Difference Between Two Means
    • 21.3: Revisiting Case Studies and Examples: How Journals Present Confidence Intervals
    • 21.4: Understanding Any Confidence Interval
    • 21: Exercises (46)
    • 21: Labs (12)
    • 21: Test Bank (5)

  • Chapter 22: Rejecting Chance—Testing Hypotheses in Research
    • 22: Concept Explorations (4)
    • 22.1: Using Data to Make Decisions
    • 22.2: The Basic Steps for Testing Hypotheses
    • 22.3: Testing Hypotheses for Proportions
    • 22.4: What Can Go Wrong: The Two Types of Errors
    • 22: Exercises (34)
    • 22: Test Bank (5)

  • Chapter 23: Hypothesis Testing—Examples and Case Studies
    • 23: Concept Explorations (8)
    • 23.1: How Hypothesis Tests Are Reported in the News
    • 23.2: Testing Hypotheses about Proportions and Means
    • 23.3: How Journals Present Hypothesis Tests
    • 23: Exercises (47)
    • 23: Labs (12)
    • 23: Test Bank (4)

  • Chapter 24: Significance, Importance, and Undetected Differences
    • 24: Concept Explorations (2)
    • 24.1: Real Importance Versus Statistical Significance
    • 24.2: The Role of Sample Size in Statistical Significance
    • 24.3: No Difference Versus No Statistically Significant Difference
    • 24.4: Multiple Tests, Multiple Comparisons, and False Positives
    • 24.5: Addressing Criticisms of Hypothesis Testing
    • 24.6: A Summary of Warnings and Key Concepts
    • 24: Exercises (40)
    • 24: Test Bank (6)

  • Chapter 25: Meta-Analysis: Resolving Inconsistencies across Studies
    • 25: Concept Explorations
    • 25.1: The Need for Meta-Analysis
    • 25.2: Two Important Decisions for the Analyst
    • 25.3: Some Benefits of Meta-Analysis
    • 25.4: Criticisms of Meta-Analysis
    • 25: Exercises (23)
    • 25: Test Bank

  • Chapter 26: Ethics in Statistical Studies
    • 26: Concept Explorations
    • 26.1: The Need for Ethics in Research Studies
    • 26.2: Ethical Treatment of Human and Animal Participants
    • 26.3: Assurance of Data Quality
    • 26.4: Appropriate Statistical Analyses
    • 26.5: Fair Reporting of Results
    • 26: Exercises (25)
    • 26: Test Bank

  • Chapter 27: Putting What You Have Learned to the Test
    • 27: Test Bank (6)

  • Chapter PJT: Project
    • PJT.1: Project (4)


Seeing Through Statistics, 5th edition with WebAssign by Jessica Utts helps students discover the impact the science of statistics has on their lives and prepares them to make better decisions when faced with uncertainty. Emphasizing ideas instead of computations, Utts develops statistical literacy and critical thinking skills through engaging, real-world applications. The text highlights the key concepts that educated citizens need to know about statistics. Revisions to the fifth edition focus on currency, inclusivity, relevancy, and the online experience.

Instructor Product Features
  • Engaging variety of assignable exercise types include Select Your Scenario questions, Stats in Practice exercises, Statistical Analysis & Learning Tool (SALT) exercises and more.
  • Course Packs with ready-to-use assignments built by subject matter experts save you time and can be easily customized to meet your teaching goals.
  • The Intro Stats Readiness Bootcamp assesses prerequisite skills and provides tutorial support to prepare students for success.
  • The Success Toolkit offers modules on relevant topics—including growth mindset and studying for statistics exams—to help students overcome challenges.
  • Instructor Resources include Instructional Lecture Videos, topic-specific videos providing explanations of key concepts, examples, and applications in a lecture-based format. Lecture PowerPoint slides are also available.
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 links provide step-by-step instruction with short, engaging videos that are ideal for visual learners.
  • Statistical Analysis and Learning Tool (SALT) enables introductory statistics students to analyze and visualize data without getting bogged down in complex computations.
  • Common Error Assistance automatically assesses student responses for common format and syntax errors to provide helpful assistance right within the question, without giving the answer away. The student's error is quickly identified which helps them stay focused and engaged in learning the material. Click here for more information.
  • Data Analysis Tool Instructions / Tech Guides can be used stand-alone or with assessment items (Homework, Labs, or Project Milestones), including TI-83/84 and TI-Nspire Calculator, Excel, JMP, Minitab, SPSS and R.

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
SIP - Stats in Practice Video Question
PJT - Project Milestone
TB - Test Bank
S - SALT
ST - SALT Tutorial
SYS - Select Your Scenario
MI - Master It
MI.SA. - Stand alone Master It
QR - Quick Reference
EP - Expanded Problem
CV - Concept Video Question
XP - Extra Problem
CE - Concept Explorations


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


Group Quantity Questions
Chapter PJT: Project
PJT.1 4 001 002 003 004
Chapter 1: The Benefits and Risks of Using Statistics
1.CE 5 001.CV 001.SIP 002.SIP 003.SIP 005.SIP
1.E 27 001 002 003 004 005 006 007 008 009 010 011 012 013 015 016 017 018 019 020 021 022 023 024 501.XP 502.XP 503.XP 504.XP
1.TB 8 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 2: Reading the News
2.E 18 001 002 003 004 005 006 007 008 009 012 013 014 015 016 017 018 501.XP 505.XP
2.TB 9 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 3: Measurements, Mistakes, and Misunderstandings
3.CE 3 001.CV 001.SIP 002.SIP
3.E 52 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030-031 032 033 034 035 036 037 038 039 040 041 042 043 044 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP
3.TB 7 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 4: How to Get a Good Sample
4.CE 2 001.CV 004.SIP
4.E 47 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 035 036 037 038 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
4.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
4.TB 10 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP
Chapter 5: Experiments and Observational Studies
5.CE 2 001.SIP 002.SIP
5.E 47 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 501.XP 502.XP 503.XP 504.XP 505.XP
5.TB 9 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 6: Getting the Big Picture
6.TB 8 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 7: Summarizing and Displaying Measurement Data
7.CE 3 001.CV 001.SIP 002.CV
7.E 60 ST.001.S ST.002.S ST.003.S ST.004.S SYS.001.S SYS.002.S 001.S 002 003 004 005.S 006.S 007.S 008.S 009 010.S 011 012 013.QR 014 015 016 017 018 019.QR 020 021 022 023 024.QR 026 027.QR 029 030 031.S 032.S 033 034.QR 035 036 037.QR 038 039 040 041 042.S 044 045 501.XP 502.XP.S 503.XP 504.XP 505.XP 506.XP.S 507.XP 508.XP 509.XP.S 510.XP 511.XP 513.XP
7.TB 9 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 8: Bell-Shaped Curves and Other Shapes
8.CE 4 001.CV 001.SIP 002.CV 002.SIP
8.E 42 ST.001.S ST.002.S ST.004.S SYS.001.S SYS.002.S SYS.003.S 001.S 002 003.S 004.S 005 006.S 007.S 008.QR.S 009.S 010 011.S 012.S 013.S 014 015.S 017.S 018 019.S 020.S 021.S 022 023 024.S 025 026.S 027.QR 028.QR 029 501.XP.S 502.XP.S 503.XP.S 504.XP 505.XP 506.XP.S 507.XP 508.EP.XP.S
8.Lab 11 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI 002.Excel 002.JMP 002.Minitab 002.R 002.SPSS
8.TB 8 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 9: Plots, Graphs, and Pictures
9.CE 2 001.CV 001.SIP
9.E 36 001 002 003 004 005.QR 006 007 008 009.S 010 013.S 014 015 016 017 018 019 020 021 022 024 025 026 027 028 501.XP 502.XP 504.XP 505.XP 506.XP 507.EP.XP 508.XP 509.XP 510.QR.XP 511.XP 512.XP
9.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
9.TB 8 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 10: Relationships Between Measurement Variables
10.CE 5 001.CV 001.SIP 002.CV 002.SIP 003.SIP
10.E 39 ST.001.S ST.002.S SYS.001.S SYS.002.S 001 002 003 004 005 006 007 008 009 010 011 012.S 013 014.QR 015 016 017 018 019 020 021 022 023 024 025.S 026.S 027 028 029 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP
10.Lab 6 009.Excel 009.JMP 009.Minitab 009.R 009.SPSS 009.TI
10.TB 9 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 11: Relationships Can Be Deceiving
11.E 40 001 002 003 004 005.S 006 007 008 009 010 011 012 013.QR 014 015 016 017 018 019 020 021 022 023.MI 023.MI.SA 024.QR 025 026 027 028 029 030 031 501.XP 502.XP.S 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
11.TB 7 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 12: Relationships Between Categorical Variables
12.CE 1 001.SIP
12.E 44 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019.QR 020 021 022 023.QR 024 025 026 027 028 029 030 031.QR 032 033 034 035 036 037 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
12.Lab 5 020.Excel 020.JMP 020.Minitab 020.R 020.SPSS
12.TB 7 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 13: Statistical Significance for 2 × 2 Tables
13.CE 2 001.CV 001.SIP
13.E 50 001 002 003.QR 004 005.QR 006.QR 007.QR 008.QR 009.S 010.S 011.S 012.S 013 014 015.S 016.S 017 018 019.S 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034.S 035 036 037 501.XP.S 502.XP.S 503.XP 504.XP.S 505.XP.S 506.XP.S 507.XP.S 508.XP.S 511.XP 513.XP 514.XP 516.XP 517.XP.S
13.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
13.TB 7 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 14: Understanding Probability and Long-Term Expectations
14.CE 3 001.CV 001.SIP 002.SIP
14.E 37 001 002 003 004.QR 005 006 007.QR 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025.MI 025.MI.SA 026 027 028 029 030 031 032 034 501.XP 502.XP 503.XP 504.XP
14.TB 9 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 15: Understanding Uncertainty through Simulation
15.E 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 501.XP 502.XP
Chapter 16: Psychological Influences on Personal Probability
16.E 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 017 018 019 021 022 023 024 501.XP 502.XP
Chapter 17: When Intuition Differs from Relative Frequency
17.E 29 001 002 003 004 005 007 008 009 010 011 012 013 014 015 016.QR 018 019 020 021 022 023 024 025 026 027 028 029.MI 029.MI.SA 501.XP
17.TB 7 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 18: Understanding the Economic News
18.E 27 001 002 003 004 005 006.QR 008.QR 009 010 011 012.MI 012.MI.SA 013 015 016 017 018 019 020 021 022 023 024 025 501.XP 502.XP 503.XP
Chapter 19: The Diversity of Samples from the Same Population
19.CE 3 001.CV 001.SIP 002.CV
19.E 24 001 002 003 004 004-005 007 008 009 010 011.S 012 013 014 015 016 017 018 019 020 501.XP 502.XP 503.XP 504.XP 505.XP
19.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
19.TB 6 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP
Chapter 20: Estimating Proportions with Confidence
20.CE 2 001.CV 001.SIP
20.E 35 ST.001.S ST.002.S ST.003.S SYS.003.S 001.S 002.S 003 004 005 006.S 007 008.QR 009.QR 010.S 012 013 014.S 015 016.S 017.S 018.S 019.S 020 021 022.S 023 024 025.S 026 501.XP.S 502.XP.S 503.XP.S 504.XP 505.XP 506.XP.S
20.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
20.TB 5 501.XP 502.XP 503.XP 504.XP 505.XP
Chapter 21: The Role of Confidence Intervals in Research
21.CE 3 001.CV 001.SIP 002.SIP
21.E 46 ST.001.S ST.002.S SYS.001.S SYS.002.S 001 003 004 005 006.QR 007.QR 008 009.S 010.S 011 012 013 014.QR 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 501.XP.S 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
21.Lab 12 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI 002.Excel 002.JMP 002.Minitab 002.R 002.SPSS 002.TI
21.TB 5 501.XP 502.XP 503.XP 504.XP 505.XP
Chapter 22: Rejecting Chance—Testing Hypotheses in Research
22.CE 4 001.SIP 002.CV 002.SIP 003.SIP
22.E 34 001 002 003 004 005 006 007 008.QR 009 010 011.S 012 013 014 015 016 017.S 019 020 021.QR 022 023 024 025 026.S 027.S 501.XP.S 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
22.TB 5 501.XP 502.XP 503.XP 504.XP 505.XP
Chapter 23: Hypothesis Testing—Examples and Case Studies
23.CE 8 001.CV 001.SIP 002.CV 002.SIP 003.CV 003.SIP 004.CV 004.SIP
23.E 47 ST.001.S ST.002.S ST.003.S ST.004.S SYS.001.S SYS.002.S SYS.003.S SYS.004.S 001 002-003.S 004 005.QR 006 007 008.S 009.S 010 011 012.QR 013 014 015.S 016.S 017 018.S 019.S 020 021 022 023 024 025 026 027 028 029 030 031 032 501.XP.S 502.XP 503.XP.S 504.EP.XP 505.XP 507.XP 508.XP 509.XP
23.Lab 12 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI 002.Excel 002.JMP 002.Minitab 002.R 002.SPSS 002.TI
23.TB 4 501.XP 502.XP 503.XP 504.XP
Chapter 24: Significance, Importance, and Undetected Differences
24.CE 2 001.CV 001.SIP
24.E 40 001 002 003 004 005.QR 006 007 008 009 010.QR 011 012 013.QR 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
24.TB 6 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP
Chapter 25: Meta-Analysis: Resolving Inconsistencies across Studies
25.E 23 001 002 003 006 007 008 009.QR 010 011 012 013 014 015 016 017 018 019 020 501.XP 503.XP.QR 505.XP 506.XP 507.XP
Chapter 26: Ethics in Statistical Studies
26.E 25 002 003 004 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 501.XP 502.XP
Chapter 27: Putting What You Have Learned to the Test
27.TB 6 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP
Total 1210  

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