# Seeing Through Statistics 4th edition

Jessica M. Utts
Publisher: Cengage Learning

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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: Concept Questions (6)
• 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: Exercises (17)
• 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 (45)
• 3: Concept Questions (10)
• 3: Test Bank (7)

• Chapter 4: How to Get a Good Sample
• 4: Concept Explorations (1)
• 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 (40)
• 4: Concept Questions (16)
• 4: Labs (6)
• 4: Test Bank (10)

• Chapter 5: Experiments and Observational Studies
• 5: Concept Explorations
• 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 Experiment
• 5.5: Difficulties and Disasters in Observational Studies
• 5.6: Random Sample versus Random Assignment
• 5: Exercises (46)
• 5: Concept Questions (20)
• 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 (56)
• 7: JMP Simulations (12)
• 7: Concept Questions (22)
• 7: Test Bank (9)

• Chapter 8: Bell-Shaped Curves and Other Shapes
• 8: Concept Explorations (2)
• 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 (40)
• 8: JMP Simulations (4)
• 8: Concept Questions (14)
• 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 (30)
• 9: JMP Simulations (4)
• 9: Concept Questions (6)
• 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 (34)
• 10: JMP Simulations (7)
• 10: Concept Questions (10)
• 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 (35)
• 11: Test Bank (7)

• Chapter 12: Relationships Between Categorical Variables
• 12: Concept Explorations
• 12.1: Displaying Relationships Between Categorical Variables: Contingency Tables
• 12.2: Relative Risk, Increased Risk, and Odds
• 12.4: Simpson's Paradox: The Missing Third Variable
• 12: Exercises (38)
• 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 (40)
• 13: JMP Simulations (3)
• 13: Concept Questions (4)
• 13: Labs (6)
• 13: Test Bank (7)

• Chapter 14: Understanding Probability and Long-Term Expectations
• 14: Concept Explorations (1)
• 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: JMP Simulations (4)
• 14: Concept Questions (13)
• 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: Concept Questions (3)

• Chapter 16: Psychological Influences on Personal Probability
• 16: Concept Explorations
• 16.1: Revisiting Personal Probability
• 16.2: Equivalent Probabilities; 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)

• 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 (28)
• 17: Concept Questions (2)
• 17: Test Bank (7)

• Chapter 18: Understanding the Economic News
• 18: Concept Explorations
• 18.1: Cost of Living: The Consumer Price Index
• 18.2: Uses of the Consumer Price Index
• 18.3: Criticisms of the Consumer Price Index
• 18.4: Seasonal Adjustments: Reporting the Consumer Price Index
• 18.5: Economic Indicators
• 18: Exercises (26)

• 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 (21)
• 19: Concept Questions (8)
• 19: Labs (6)
• 19: Test Bank (6)

• Chapter 20: Estimating Proportions with Confidence
• 20: Concept Explorations (1)
• 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 (26)
• 20: JMP Simulations (3)
• 20: Labs (6)
• 20: Test Bank (5)

• Chapter 21: The Role of Confidence Intervals in Research
• 21: Concept Explorations (2)
• 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 (37)
• 21: JMP Simulations (14)
• 21: Concept Questions (12)
• 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 (27)
• 22: JMP Simulations (6)
• 22: Test Bank (5)

• Chapter 23: Hypothesis Testing—Examples and Case Studies
• 23: Concept Explorations (7)
• 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 (40)
• 23: JMP Simulations (14)
• 23: Concept Questions (18)
• 23: Labs (12)
• 23: Test Bank (4)

• Chapter 24: Significance, Importance, and Undetected Differences
• 24: Concept Explorations (1)
• 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: A Summary of Warnings and Key Concepts
• 24: Exercises (32)
• 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 (16)

• Chapter 26: Ethics in Statistical Studies
• 26: Concept Explorations
• 26.1: Ethical Treatment of Human and Animal Participants
• 26.2: Assurance of Data Quality
• 26.3: Appropriate Statistical Analyses
• 26.4: Fair Reporting of Results
• 26: Exercises (21)

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

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

Seeing through Statistics, 4th edition, by Jessica Utts develops statistical literacy and critical thinking through real-world applications, with an emphasis on ideas, not calculations. This text focuses on the key concepts that educated citizens need to know about statistics. These ideas are introduced in interesting applied and real contexts, without using an abundance of technicalities and calculations that only serve to confuse students. The WebAssign component for this text engages students with an interactive eTextbook and several other resources.

### New for Fall '21

• You can view a complete list of digital content updates made for this title here.

### Instructor Product Features

• Questions from Aplia: 100% of questions formerly provided through Aplia are now available in WebAssign to maintain course consistency for previous Aplia users.
• Course Packs 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, JMP Questions, and Project Milestones.
• Instructor Resources include Instructional Lecture Videos, hosted by Dana Mosely. These topic-specific videos provide 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.
• Student Resources include Data Analysis Tool Instructions / Tech Guides for the below software. Can be used stand-alone or in conjunction with assessment items (Homework, Labs, or Project Milestones).
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### 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
SIP - Stats in Practice Video Question
JMP - Simulation Question by JMP
CQ - Concept Question
Lab - Lab
PJT - Project Milestone
TB - Test Bank
S - SALT
ST - SALT Tutorial
MI - Master It
MI.SA - Stand alone Master It
QR - Quick Reference
EP - Expanded Problem
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 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 004.SIP
1.CQ 6 001 002 003 004 005 006
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 8 005 006 009 015 017 018 019 025
2.E 17 001 002 003 004 005 006 007 008 009 012 013 014 015 016 017 018 501.XP
2.TB 9 006 016 017 025 029 036 046 047 049
Chapter 3: Measurements, Mistakes, and Misunderstandings
3.CE 3 001.CV 001.SIP 002.SIP
3.CQ 10 001 002 003 004 005 006 007 008 009 010
3.E 45 001 002 003 004 006 007 008 009 010 011 012 013 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 032 033 034 035 036 037 038 039 040 041 042 043 501.XP 502.XP 503.XP 504.XP 505.XP
3.TB 7 003 011 022 023 029 040 043
Chapter 4: How to Get a Good Sample
4.CE 1 001.CV
4.CQ 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
4.E 40 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 017 018 020 021 022 023 024 025 026 027 028 029 030 031 032 033 035 036 037 038 501.XP 502.XP 503.XP 504.XP 505.XP
4.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
4.TB 10 006 008 018 019 020 025 030 039 048 055
Chapter 5: Experiments and Observational Studies
5.CQ 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
5.E 46 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 501.XP 502.XP 503.XP 504.XP
5.TB 9 008 015 019 025 036 039 045 055 056
Chapter 6: Getting the Big Picture
6.TB 8 008 009 012 013 017 018 021 022
Chapter 7: Summarizing and Displaying Measurement Data
7.CE 3 001.CV 001.SIP 002.CV
7.CQ 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022
7.E 56 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 029 030 031 032 033.S 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 507.XP 508.XP
7.JMP 12 001 002 003 004 005 006 007 008 009 010 011 012
7.TB 9 005 007 009 015 025 035 040 045 050
Chapter 8: Bell-Shaped Curves and Other Shapes
8.CE 2 001.CV 002.CV
8.CQ 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
8.E 40 ST.001.S ST.002.S ST.003.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.EP.S 015.S 017.S 018 019.S 020.S 021.S 023 024.S 025 026.S 027.QR 028.QR 029 501.XP.S 502.XP.S 503.XP.S 504.XP 505.XP
8.JMP 4 001 002 003 004
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 8 005 010 013 014 019 024 031 034
Chapter 9: Plots, Graphs, and Pictures
9.CE 2 001.CV 001.SIP
9.CQ 6 001 002 003 004 005 006
9.E 30 001 002 003 004 004.EP 005.QR 006 007 008 009.QR 010 013 014 015 016 017 018 019 020 021 022 024 025 026 027 028 501.XP 502.XP 504.XP 505.XP
9.JMP 4 001 002 003 004
9.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
9.TB 8 004 011 013 023 025 041 050 058
Chapter 10: Relationships Between Measurement Variables
10.CE 5 001.CV 001.SIP 002.CV 002.SIP 003.SIP
10.CQ 10 001 002 003 004 005 006 007 008 009 010
10.E 34 001 002 003 004 005 006 007 008 009 010 011 012.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
10.JMP 7 001 002 003 004 005 006 007
10.TB 9 003 009 010 014 020 022 023 030 033
Chapter 11: Relationships Can Be Deceiving
11.E 35 001 002 003 005.S 006 007 008 009 010 011 012 013.QR 014 015 016 017 019 020 021 022 023.MI 023.MI.SA 024.QR 025 026 027 028 029 030 031 501.XP 502.XP.S 503.XP 504.XP 505.XP
11.TB 7 006 007 010 015 021 025 034
Chapter 12: Relationships Between Categorical Variables
12.E 38 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 019.QR 020 021 022 023.QR 024 025 026 027 028 029 030 031.QR 032 036 037 501.XP 502.XP 503.XP 504.XP 505.XP
12.TB 7 007 009 010 019 024 026 031
Chapter 13: Statistical Significance for 2 × 2 Tables
13.CE 2 001.CV 001.SIP
13.CQ 4 001 002 003 004
13.E 40 001 002 003.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.S 022 023.S 024 025.S 026 027 028 029 030 031.S 032 033.S 034 035.S 036 037.S 501.XP.S 502.XP.S 503.XP
13.JMP 3 001 002 003
13.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
13.TB 7 006 009 011 017 022 029 032
Chapter 14: Understanding Probability and Long-Term Expectations
14.CE 1 001.CV
14.CQ 13 001 002 003 004 005 006 007 008 009 010 011 012 013
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.JMP 4 001 002 003 004
14.TB 9 009 010 011 016 023 025 028 037 041
Chapter 15: Understanding Uncertainty through Simulation
15.CQ 3 001 002 003
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.CQ 2 001 002
17.E 28 001 002 003 004 005 007 008 009 010 011 012 013 014 015 016.QR 018 019 020 021 022 023 024 026 027 028 029.MI 029.MI.SA 501.XP
17.TB 7 009 012 015 023 024 025 029
Chapter 18: Understanding the Economic News
18.E 26 001 002 003 004 005 006.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
Chapter 19: The Diversity of Samples from the Same Population
19.CE 3 001.CV 001.SIP 002.CV
19.CQ 8 001 002 003 004 005 006 007 008
19.E 21 001 002 003 004 007 008 009 010 011 012 013 014 015 016 017 018 019 020 501.XP 502.XP 503.XP
19.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
19.TB 6 022 023 029 036 038 046
Chapter 20: Estimating Proportions with Confidence
20.CE 1 001.CV
20.E 26 001.S 002.S 003 004 005 006.S 007 008.QR 009.QR 010.S 012 013 014.S 015.S 016.S 017.S 018.S 019.S 020 021 022.S 023.S 024 025.S 501.XP.S 502.XP
20.JMP 3 001 002 003
20.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
20.TB 5 005 007 015 026 027
Chapter 21: The Role of Confidence Intervals in Research
21.CE 2 001.CV 001.SIP
21.CQ 12 001 002 003 004 005 006 007 008 009 010 011 012
21.E 37 ST.001.S ST.002.S SYS.001.S SYS.002.S 001 003 004 005 006.QR 007.QR 008 009.S 010 011 012 013 014.QR 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 501.XP.S 502.XP
21.JMP 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
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 5 018 019 020 028 037
Chapter 22: Rejecting Chance—Testing Hypotheses in Research
22.CE 4 001.SIP 002.CV 002.SIP 003.SIP
22.E 27 001 002 003 004 005 006 007 008.QR 009 010 011.S 012 013 014 015 016 017.S 019 020 021.QR 022 024 025 026 501.XP.S 502.XP 503.XP
22.JMP 6 001 002 003 004 005 006
22.TB 5 006 007 014 039 040
Chapter 23: Hypothesis Testing—Examples and Case Studies
23.CE 7 001.CV 001.SIP 002.CV 002.SIP 003.CV 003.SIP 004.CV
23.CQ 18 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
23.E 40 ST.001.S ST.002.S ST.003.S SYS.001.S SYS.002.S SYS.003.S 001 002.S 004 005.QR 006 006.EP 007 008.S 009 010 011 012.QR 013 014 015.S 016 017 018.S 019.S 020 021 022 023 024 025 026 027 028 029 030 031 032 501.XP.S 502.XP
23.JMP 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
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 4 004 011 021 022
Chapter 24: Significance, Importance, and Undetected Differences
24.CE 1 001.CV
24.E 32 001 002 003 004 005.QR 006 007 008.QR 009 010 011 012 013.QR 014 015 016 017 018 019 020 021 022 023 025 026 027 028 029 030 031 501.XP 502.XP
24.TB 6 005 006 013 024 030 037
Chapter 25: Meta-Analysis: Resolving Inconsistencies across Studies
25.E 16 001 002 003 006.QR 007 008 009.QR 010 011 012 013 014 015 016 017 501.XP
Chapter 26: Ethics in Statistical Studies
26.E 21 002 003 004 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 501.XP 502.XP
Chapter 27: Putting What You Have Learned to the Test
27.TB 6 006 007 012 013 046 047
Total 1312