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Probability and Statistics for Engineering and the Sciences 10th edition

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Leif Ellingson and Anna Panorska
Publisher: Cengage Learning

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  • Ellingson Probability and Statistics for Engineering and the Sciences 10e

Access is contingent on use of this textbook in the instructor's classroom.

  • Chapter 1: Overview and Descriptive Statistics
    • 1: Concept Explorations (13)
    • 1: Precalculus Review (16)
    • 1.1: Populations, Samples, and Processes (10)
    • 1.2: Pictorial and Tabular Methods in Descriptive Statistics (27)
    • 1.3: Measures of Location (19)
    • 1.4: Measures of Variability (34)
    • 1: Supplementary Exercises (10)
    • 1: R Activities (6)
    • 1: Labs (10)
    • 1: Test Bank

  • Chapter 2: Probability
    • 2: Concept Explorations (15)
    • 2: Precalculus Review (21)
    • 2.1: Sample Spaces and Events (12)
    • 2.2: Axioms, Interpretations, and Properties of Probability (20)
    • 2.3: Counting Techniques (18)
    • 2.4: Conditional Probability (33)
    • 2.5: Independence (27)
    • 2: Supplementary Exercises (8)
    • 2: R Activities (3)
    • 2: Labs (5)
    • 2: Test Bank

  • Chapter 3: Discrete Random Variables and Probability Distributions
    • 3: Concept Explorations (11)
    • 3: Precalculus Review (17)
    • 3.1: Random Variables (12)
    • 3.2: Probability Distributions for Discrete Random Variables (20)
    • 3.3: Expected Values (20)
    • 3.4: The Binomial Probability Distribution (28)
    • 3.5: Hypergeometric, Geometric, and Negative Binomial Distributions (17)
    • 3.6: The Poisson Probability Distribution (19)
    • 3: Supplementary Exercises (8)
    • 3: R Activities (4)
    • 3: Labs (4)
    • 3: Test Bank

  • Chapter 4: Continuous Random Variables and Probability Distributions
    • 4: Concept Explorations (10)
    • 4: Precalculus and Calculus Review (22)
    • 4.1: Probability Density Functions (11)
    • 4.2: Cumulative Distribution Functions and Expected Values (22)
    • 4.3: The Normal Distribution (38)
    • 4.4: The Exponential and Gamma Distributions (17)
    • 4.5: Other Continuous Distributions (15)
    • 4.6: Probability Plots (10)
    • 4: Supplementary Exercises (6)
    • 4: R Activities (8)
    • 4: Labs (4)
    • 4: Test Bank

  • Chapter 5: Joint Probability Distributions and Random Samples
    • 5: Concept Explorations (9)
    • 5: Calculus Review (4)
    • 5.1: Jointly Distributed Random Variables (20)
    • 5.2: Expected Values, Covariance, and Correlation (18)
    • 5.3: Statistics and Their Distributions (11)
    • 5.4: The Distribution of the Sample Mean (15)
    • 5.5: The Distribution of a Linear Combination (21)
    • 5: Supplementary Exercises (4)
    • 5: Test Bank

  • Chapter 6: Point Estimation
    • 6: Concept Explorations (9)
    • 6: Precalculus and Calculus Review (6)
    • 6.1: Some General Concepts of Point Estimation (24)
    • 6.2: Methods of Point Estimation (11)
    • 6: Supplementary Exercises (10)
    • 6: R Activities (3)
    • 6: Test Bank

  • Chapter 7: Statistical Intervals Based on a Single Sample
    • 7: Concept Explorations (9)
    • 7: Precalculus Review (5)
    • 7.1: Basic Properties of Confidence Intervals (14)
    • 7.2: Large-Sample Confidence Intervals for a Population Mean and Proportion (22)
    • 7.3: Intervals Based on a Normal Population Distribution (14)
    • 7.4: Confidence Intervals for the Variance and Standard Deviation of a Normal Population (7)
    • 7: Supplementary Exercises (8)
    • 7: R Activities (5)
    • 7: Labs (6)
    • 7: Test Bank

  • Chapter 8: Tests of Hypotheses Based on a Single Sample
    • 8: Concept Explorations (8)
    • 8: Precalculus Review (2)
    • 8.1: Hypotheses and Test Procedures (17)
    • 8.2: z Tests for Hypotheses about a Population Mean (16)
    • 8.3: The One-Sample t Test (22)
    • 8.4: Tests Concerning a Population Proportion (17)
    • 8.5: Further Aspects of Hypothesis Testing (6)
    • 8: Supplementary Exercises (11)
    • 8: R Activities (6)
    • 8: Labs (4)
    • 8: Test Bank

  • Chapter 9: Inferences Based on Two Samples
    • 9: Concept Explorations (7)
    • 9: Precalculus Review (1)
    • 9.1: z Tests and Confidence Intervals for a Difference Between Two Population Means (18)
    • 9.2: The Two-Sample t Test and Confidence Interval (27)
    • 9.3: Analysis of Paired Data (14)
    • 9.4: Inferences Concerning a Difference Between Population Proportions (13)
    • 9.5: Inferences Concerning Two Population Variances (9)
    • 9: Supplementary Exercises (9)
    • 9: R Activities (7)
    • 9: Labs (3)
    • 9: Test Bank

  • Chapter 10: The Analysis of Variance
    • 10: Concept Explorations (4)
    • 10: Precalculus Review (4)
    • 10.1: Single-Factor ANOVA (12)
    • 10.2: Multiple Comparisons in ANOVA (13)
    • 10.3: More on Single-Factor ANOVA (16)
    • 10: Supplementary Exercises
    • 10: R Activities (1)
    • 10: Test Bank

  • Chapter 11: Multifactor Analysis of Variance
    • 11: Concept Explorations (2)
    • 11: Precalculus Review
    • 11.1: Two-Factor ANOVA with Kij = 1 (11)
    • 11.2: Two-Factor ANOVA with Kij > 1 (12)
    • 11.3: Three-Factor ANOVA (11)
    • 11.4: 2p Factorial Experiments (11)
    • 11: Supplementary Exercises (8)
    • 12: R Activities (1)
    • 11: Labs (1)
    • 11: Test Bank

  • Chapter 12: Simple Linear Regression and Correlation
    • 12: Concept Explorations (10)
    • 12: Precalculus Review (8)
    • 12.1: The Simple Linear Regression Model (13)
    • 12.2: Estimating Model Parameters (15)
    • 12.3: Inferences About the Slope Parameter β1 (14)
    • 12.4: Inferences Concerning μY · X* and the Prediction of Future Y Values (12)
    • 12.5: Correlation (15)
    • 12: Supplementary Exercises (9)
    • 12: R Activities (8)
    • 12: Labs (3)
    • 12: Test Bank

  • Chapter 13: Nonlinear and Multiple Regression
    • 13: Concept Explorations (2)
    • 13: Precalculus and Calculus Review
    • 13.1: Assessing Model Adequacy (13)
    • 13.2: Regression with Transformed Variables (8)
    • 13.3: Polynomial Regression (10)
    • 13.4: Multiple Regression Analysis (20)
    • 13.5: Other Issues in Multiple Regression (10)
    • 13: Supplementary Exercises (9)
    • 13: R Activities (1)
    • 13: Test Bank

  • Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
    • 14: Concept Explorations (3)
    • 14: Precalculus and Calculus Review (3)
    • 14.1: Goodness-of-Fit Tests When Category Probabilities Are Completely Specified (13)
    • 14.2: Goodness-of-Fit Tests for Composite Hypotheses (14)
    • 14.3: Two-Way Contingency Tables (19)
    • 14: Supplementary Exercises (7)
    • 14: R Activities
    • 14: Labs (5)
    • 14: Test Bank

  • Chapter 15: Distribution-Free Procedures
    • 15: Concept Explorations (1)
    • 15: Precalculus Review
    • 15.1: The Wilcoxon Signed-Rank Test (12)
    • 15.2: The Wilcoxon Rank-Sum Test (12)
    • 15.3: Distribution-Free Confidence Intervals (11)
    • 15.4: Distribution-Free ANOVA (9)
    • 15: Supplementary Exercises (9)
    • 15: R Activities
    • 15: Labs (2)
    • 15: Test Bank

  • Chapter 16: Quality Control Methods
    • 16: Concept Explorations (1)
    • 16: Precalculus Review
    • 16.1: General Comments on Control Charts (6)
    • 16.2: Control Charts for Process Location (13)
    • 16.3: Control Charts for Process Variation (9)
    • 16.4: Control Charts for Attributes (15)
    • 16.5: CUSUM Procedures (5)
    • 16.6: Acceptance Sampling (5)
    • 16: Supplementary Exercises (4)
    • 16: Labs
    • 16: Test Bank

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

Prepare your students with the data analysis skills they need in their future careers with the market-leading Probability and Statistics for Engineering and the Sciences, 10th edition, with WebAssign, offering a comprehensive introduction to probability models and statistical methods common in engineering and scientific disciplines. New-to-this-edition authors Leif Ellingson and Anna Panorska—who both have years of experience teaching statistics at all levels—emphasize fundamental concepts, models, and methodologies, while also providing the underlying rationale to motivate learning. Revisions to the tenth edition help students recall foundational concepts as they read the text and work through exercises. With updated content throughout, authentic problem scenarios in examples and exercises incorporate real-world data to actively engage students and demonstrate practical relevance.

Instructor Product Features

  • 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 are also available for Stats in Practice Video Questions, Labs, and Project Milestones.
  • 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 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 eBook 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.
  • Master It Tutorials show students how to solve a similar problem in multiple steps by providing direction along with derivation, so the student understands the concepts and reasoning behind the problem solving.
  • Data Analysis Technology Guides walk students step-by-step through conducting data analysis in a variety of statistical software tools, helping them build confidence in both the technology and the underlying analytical process.
  • Common Error Assistance in WebAssign 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.

Content and Question Types Available for
Probability and Statistics for Engineering and the Sciences, 10th Edition

Improve Student Interest and Engagement
  • Stats in Practice Video Questions present brief clips from contemporary media to illustrate how statistics appears in real-world contexts, followed by questions that prompt students to apply their understanding of the concepts shows.
  • Select Your Scenario Questions provide students with 3 different contexts to choose from. Students select the scenario most relevant to them and then solve the problem which requires them to answer questions demonstrating knowledge of a learning objective.
  • Project Milestones enable your students to ideate, collaborate, and submit a longer-term project through the completion of four milestones: Research Design, Gather Data, Analyze Data, and Present Results.
Explore Real Data with Technology
  • Cengage’s Statistical Analysis and Learning Tool (SALT)—a data analysis tool designed by statisticians—is integrated into WebAssign. It is designed to engage students in data manipulation, analysis and interpretation.
  • SALT Questions help students easily visualize and analyze data confidently with integrated SALT functionality in WebAssign.
  • SALT Tutorial Questions help students understand how to use SALT in their WebAssign assignments, allowing them to walk through exactly where to go in SALT to find the information they need.
  • R Questions provide guided solutions that demonstrate the required R code, helping students understand both the process and reasoning behind arriving at the correct answer.
  • Lab Questions ask students to perform real statistical analysis in class or online with pre-made and chapter-specific Stats Labs. Require students to use the data analysis tool of your choice to analyze a real dataset, facilitating whole-picture learning.
Assess Conceptual Understanding
  • Precalculus and Calculus Review (P) is available within each chapter to assign to help close readiness gaps.
  • Concept Video Questions pair 7 to 10-minute conceptual videos with targeted questions to reinforce key statistical ideas and help ensure students build a solid understanding of the material.
  • Active Example Questions guide students through a worked example from the textbook, prompting them to complete each step themselves to reinforce understanding of the problem-solving process.
  • Concept Explorations sections bring together the chapter's Active Examples, Concept Videos, and Stats in Practice questions into a single location, making it easy for instructors to assign these integrated resources directly from one section of the textbook.

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
R - R Question
MI - Master It
MI.SA - Stand Alone Master It
CV - Concept Video Question
AE - Active Example
SIP - Stats in Practice Video Question
Lab - Lab
PJT - Project Milestone
XP - Extra Problem
P - Precalculus/Calculus Prerequisite Exercise
S - SALT
ST - SALT Tutorial
SE - Supplementary Exercise
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: Overview and Descriptive Statistics
1.CE 13 001.CV 001.SIP 002.CV 002.SIP 003.CV 004.AE 004.CV 005.CV 006.CV 007.AE 011.AE 013.AE 016.AE
1.Lab 10 001.Excel 001.JMP 001.Minitab 001.R 001.TI 002.Excel 002.JMP 002.Minitab 002.R 002.TI
1.P 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
1.R 6 Lab.001 001 002 003 004 005
1.SE 10 501.XP.S 502.XP.S 503.XP.S 504.XP 505.XP.S 506.XP 507.XP.S 508.XP 509.XP 510.XP
1.1 10 001 002 003 004 005 006 007 008.MI 008.MI.SA 009
1.2 27 ST.001.S SYS.001.S 010 011.MI 011.MI.SA 012.S 013.S 014 015 016.S 017.S.MI 017.S.MI.SA 018.S 019.S 020.S 021.S 022 023.S.MI 023.S.MI.SA 025.S 026.S 027.S 029.S 030 032 501.XP 502.XP
1.3 19 ST.001.S 033.S 034.S 035.S.MI 035.S.MI.SA 036 037.S 038.S 039.S 040.S 041.S 042 043.S 045 046.S 047 048 049 501.XP.S
1.4 34 ST.001.S ST.002.S SYS.001.S 050.MI 050.MI.SA 051.MI 051.MI.SA 052 053.S 054 055.S 056 057.S 058.S 059.S 060 061.S 063.S 065 066 067 068 069 070 071 072.S 073 075.S 077 079 081.S 083 085 087
Chapter 2: Probability
2.CE 15 001.CV 001.SIP 002.AE 002.SIP 003.SIP 005.AE 006.SIP 010.AE 013.AE 018.AE 020.AE 021.AE 027.AE 031.AE 034.AE
2.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
2.P 21 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019.MI 019.MI.SA 020
2.R 3 001 002 003
2.SE 8 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
2.1 12 001 002 003 004 005 006 007 008 009 010 011 012
2.2 20 013.MI 013.MI.SA 014 015 016.MI 016.MI.SA 017 018 019 020 021 022 023 024 025 026 027 028 029 030
2.3 18 031 032.MI 032.MI.SA 033 034.MI 035 036 037 038 039 040 041 042 043 044 045 047 049 501.XP
2.4 33 051.MI 051.MI.SA 052 053 054 055 056 057 058 059 060 061.MI 061.MI.SA 063 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079.MI 079.MI.SA 081 083 085
2.5 27 087.MI 087.MI.SA 089 090 091 092 093 094 095.MI 095.MI.SA 096 097 098 099 100 101 102 103 104 106 107 109 113 115 117 119 501.XP
Chapter 3: Discrete Random Variables and Probability Distributions
3.CE 11 001.CV 001.SIP 002.SIP 003.SIP 008.AE 012.AE 017.AE 023.AE 032.AE 036.AE 039.AE
3.Lab 4 001.Excel 001.JMP 001.Minitab 001.R
3.P 17 001 002 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
3.R 4 001 002 003 004
3.SE 8 501.XP 502.XP 508.XP 509.XP.S 510.XP 511.XP 512.XP 513.XP
3.1 12 001 002.MI 002.MI.SA 003 004 005 006 007 008 009 010 501.XP
3.2 20 011 012 013.MI 013.MI.SA 014 015 016 017 018 019 020 021 022 023 024 025 026 027 029 030
3.3 20 031.MI 031.MI.SA 032 033 034 035 036 037 038.MI 038.MI.SA 039 040 041 042 043 045 046 047 051 501.XP
3.4 28 ST.001.S SYS.001.S 052.MI 052.MI.SA 053.S 054.S 055.S.MI 055.S.MI.SA 056.S 057.S 058.S 059.S 060.S 061.S 062.S 063.S 065.S 066 067.S 069 071 072.S 074.S 075.S 077.S 081.S 083.S 501.XP
3.5 17 084 085 086.MI 086.MI.SA 087 088 089 090 091 092 093 094 095 096 097 098 099
3.6 19 079.MI 079.MI.SA 105 106.MI 106.MI.SA 107 108 109 111 112.MI 113 114 115 117 122 123 124 126 501.XP
Chapter 4: Continuous Random Variables and Probability Distributions
4.CE 10 001.CV 001.SIP 002.CV 002.SIP 003.AE 006.AE 010.AE 014.AE.S 025.AE 031.AE
4.Lab 4 001.Excel 001.JMP 001.Minitab 001.R
4.P 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 022 023
4.R 8 001 002 003 004 005 006 007 008
4.SE 6 501.XP 502.XP 503.XP 504.XP 505.XP.S 506.XP.S
4.1 11 001 002.MI 002.MI.SA 003 004 005 006 007 008 009 010
4.2 22 011.MI 011.MI.SA 012 013.MI 013.MI.SA 014 015 016 017 018 019 021 022 023 024 025 026 029 031 033 035 037
4.3 38 ST.001.S ST.002.S ST.003.S ST.004.S SYS.001.S SYS.002.S SYS.003.S 038.S.MI 038.S.MI.SA 039.S 040.S 041.S 042.S.MI 042.S.MI.SA 043.S 044.S 046.S 047.S 048.S 049.S 050.S 051.S 052.S 053 054.S 056 057.S 060.S 063.S 064.S 066 069.S.MI 069.S.MI.SA 071.S 073 075.S 076 501.XP.S
4.4 17 077 078 079.MI 079.MI.SA 080 082 083 084 085 086 087 089 091 093 095 097 501.XP
4.5 15 100 101.MI 101.MI.SA 102 103 104.S 106 107.S 109.S 111 112 113 114 115.S 119
4.6 10 121 122.S.MI 122.S.MI.SA 124.MI 124.MI.SA 125.S 126.S 128.S 130.S 131
Chapter 5: Joint Probability Distributions and Random Samples
5.CE 9 001.CV 001.SIP 002.SIP 007.AE 016.AE 024.AE 025.AE 027.AE.S 030.AE
5.P 4 001 002 003 004
5.SE 4 501.XP 502.XP 503.XP.S 504.XP.S
5.1 20 001.MI 001.MI.SA 002 003 005.MI 005.MI.SA 006.S 007 008 009 010 011 012 014 015 017 018 019 020.S 021
5.2 18 022.MI 022.MI.SA 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037.MI 037.MI.SA
5.3 11 043 044.MI 044.MI.SA 045.S 046 047 048 049 050 052 053
5.4 15 054 055.S 056.S 057.S 058.S 059.S 060.S.MI 060.S.MI.SA 061.S 062.S 063 064.S 065.S 067.S 501.XP.S
5.5 21 068 069.S 071.MI 071.MI.SA 072.S 074 076.S 078.S 080 081.S 082.S 084.S 085.S 086 087.S 088.S 091.S 093 095.S 099 101
Chapter 6: Point Estimation
6.CE 9 001.AE 001.SIP 002.SIP 006.AE 007.AE 010.AE 019.AE 022.AE 501.XP.SIP
6.P 6 008 009 010 011 012 013
6.R 3 001 002 003
6.SE 10 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP.MI 509.XP.MI.SA 510.XP
6.1 24 001.S 002.S.MI 002.S.MI.SA 003.S 004.MI 004.MI.SA 005 006 007 008 009 010 011 012 013 014 015 016 017 018 501.XP 502.XP 503.XP 504.XP
6.2 11 021 022.MI 022.MI.SA 025.S 026 027 028 029 501.XP 502.XP 503.XP
Chapter 7: Statistical Intervals Based on a Single Sample
7.CE 9 001.CV 001.SIP 002.CV 003.AE 008.AE 009.AE 012.AE 013.AE 015.AE.S
7.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
7.P 5 001 003 004 005 006
7.R 5 001 002 003 004 005
7.SE 8 501.XP 502.XP 503.XP.S 504.XP 505.XP 506.XP 507.XP.S 508.XP
7.1 14 ST.001.S 001.S.MI 001.S.MI.SA 002 003 004.S 005.S 006.S 007 008 009.S 010.S 011.S 014
7.2 22 ST.001.S SYS.001.S 012.S.MI 012.S.MI.SA 015.S 016.S 017.S 018.S.MI 018.S.MI.SA 019.S 020.S 022.S 023.S 024.S 025.S 026.S 027.S 028.S 029 031.S 032.S 033.S
7.3 14 SYS.001.S 035.S.MI 035.S.MI.SA 036.S 037.S 038.S 040 041.S 042.S 043.S 044.S 045.S 046.S 051.S
7.4 7 013 054.S 055.S.MI 055.S.MI.SA 056.S 057.S 058.S
Chapter 8: Tests of Hypotheses Based on a Single Sample
8.CE 8 001.CV 001.SIP 002.CV 002.SIP 003.CV 003.SIP 004.AE.S 007.AE
8.Lab 4 001.Excel 001.JMP 001.Minitab 001.R
8.P 2 001 002
8.R 6 Lab.001 001 002 003 004 005
8.SE 11 501.XP.S 502.XP.S 503.XP.S 504.XP.S 505.XP.S 506.XP.S 507.XP.S 508.XP.S 509.XP 510.XP 511.XP.S
8.1 17 001 002 003 004.MI 004.MI.SA 005 006 007 008 009 010 011.S 012.S.MI 012.S.MI.SA 013.S 014.S 016
8.2 16 018.S 019.S.MI 019.S.MI.SA 021.S 023 024.S 025.S 026.S 027.S 029.S 030.S.MI 030.S.MI.SA 032.S 033.S 034.S 501.XP
8.3 22 ST.001.S SYS.001.S 035.S 036.S 037.S.MI 037.S.MI.SA 038.S 039.S 040.S 041.S 042.S 043.S 044.S 045.S 046.S 048.S 049.S 050.S 052.MI 052.MI.SA 501.XP 502.XP.S
8.4 17 ST.001.S SYS.001.S 054.S 056.S 057.S 058.S.MI 058.S.MI.SA 059.S 060.S 061.S 062.S 063.S 064.S 065.S 066.S 069.S 071.S
8.5 6 072.S.MI 072.S.MI.SA 073.S 074.MI 074.MI.SA 075.S
Chapter 9: Inferences Based on Two Samples
9.CE 7 001.CV 001.SIP 002.CV 003.AE.S 003.SIP 006.AE 012.AE
9.Lab 3 001.Excel 001.Minitab 001.R
9.P 1 005
9.R 7 001 002 003 004 005 007 009
9.SE 9 501.XP.S 502.XP 503.XP.S 504.XP.S 505.XP.S 506.XP.S 507.XP.S 508.XP.S 509.XP.S
9.1 18 001 002.S 003.S.MI 003.S.MI.SA 004.S 005.S 006.S 007.S 008.S 009.S 010.S 011.S 012.S 013.S 014.S 016.S 017.S 501.XP.S
9.2 27 ST.001.S ST.002.S SYS.001.S SYS.002.S 019 020.S 021.S.MI 021.S.MI.SA 022.S 023.S 024.S 026.S 028 029.S 030.S 031.S 032.S 033.S 034.S 035.S 037.S 040.S 043.MI.S 043.MI.S.SA 047.S 054.S 501.XP.S
9.3 14 055.S 056.S.MI 056.S.MI.SA 057.S 058.S 059.S 060.S 061.S 062.S 063.S 064.S 065.S 066.S 069.S
9.4 13 ST.001.S 051.S 073.S 074.S.MI 074.S.MI.SA 075.S 076.S 077.S 078.S 079.S 080.S 081.S 082.S
9.5 9 084.MI.S 084.MI.S.SA 085.MI.S 085.MI.S.SA 086.S 087.S 088.S 089.S 506.XP.S
Chapter 10: The Analysis of Variance
10.CE 4 001.CV 001.SIP 002.SIP 003.SIP
10.P 4 001 002 006 010
10.R 1 Lab.001
10.1 12 001.S 003.S 004.S 005.S 007.S.MI 008.S 009.S 010.S 011.S 012.S 013.S 014
10.2 13 015.MI 015.MI.SA 016 017 018.S 020.S 021.S 022.S 023.S 024.S 026.S 028.S 029.S
10.3 16 030.S 031.S 032.S.MI 032.S.MI.SA 033.S 034.S 035.S 036 038 039 040.S 041 042 043.S 044.MI 045.S 049
Chapter 11: Multifactor Analysis of Variance
11.CE 2 001.SIP 009.AE
11.Lab 1 001.R
11.R 1 Lab.001
11.SE 8 501.XP 502.XP.S 503.XP.S 504.XP 505.XP 506.XP 507.XP.S 508.XP
11.1 11 001.S 002.S.MI 002.S.MI.SA 004.S 005.S 006.S 008.S 009.S 012.S 014 015
11.2 12 017.S 018.S 019.S 020 023.S.MI 023.S.MI.SA 024.S 025.S 026 028 029.S 030
11.3 11 031.S 032.S 034.S.MI 034.S.MI.SA 036.S 037.S 038.S 040.S 043.S 044.S 045.S
11.4 11 047.S 048.MI 048.MI.SA 049.S 050.S 052.S 054.S 056 057 060.MI 060.MI.SA
Chapter 12: Simple Linear Regression and Correlation
12.CE 10 001.AE 001.CV 001.SIP 002.AE 002.CV 002.SIP 003.AE 006.AE.S 013.AE.S 017.AE.S
12.Lab 3 001.Excel 001.Minitab 001.R
12.P 8 002 003 004 005 006 007 013 015
12.R 8 001 002 003 004 005 006 007 008
12.SE 9 501.XP 502.XP 503.XP.S 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
12.1 13 ST.001.S SYS.002.S 001.S 002 003.S 005 006 007.MI 007.MI.SA 008.S 009.S 011.S 501.XP.S
12.2 15 015.S 016.S.MI 016.S.MI.SA 017 018.S 019.S 020.S 021.S 022 023.S 025 026.S 027 029 032
12.3 14 ST.001.S SYS.001.S 036.S.MI 036.S.MI.SA 037.S 038.S 039.S 040.S 041.S 042.S 043.S 044.S 047 049.S
12.4 12 050.S.MI 050.S.MI.SA 051.S 052.S 053.S 055.S 057.S 058.S 060.S 062.S 066.MI 066.MI.SA
12.5 15 ST.001.S SYS.001.S 064.S 069.S 071 072.S 074.S 075.S.MI 075.S.MI.SA 076.S 077.S 078.S 082 084 501.XP.S
Chapter 13: Nonlinear and Multiple Regression
13.CE 2 001.SIP 012.AE
13.R 1 006
13.SE 9 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
13.1 13 001.MI 001.MI.SA 002.S 004.S 005.S 006 007.S 008.S 009.S 010 012 014.S 501.XP
13.2 8 016.S 017.S 018.MI 018.MI.SA 019.S 020.S 021.S 024
13.3 10 028.S 029.S 030.S.MI 030.S.MI.SA 031.S 032.S 033.S 034.S 036.S 501.XP
13.4 20 041.S 042.S 043.MI 043.MI.SA 044 047.S 049.S 050.S 051.S 052.S 053.S 056.S 057.S 059.S 060.MI 060.MI.SA 063.S 064.S 065.S 501.XP.S
13.5 10 068.MI 068.MI.SA 070.S 071 072 073 074 076 501.XP.S 502.XP
Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
14.CE 3 001.CV 001.SIP 002.SIP
14.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.TI
14.P 3 008 010 011
14.SE 7 501.XP.S 502.XP.S 503.XP.S 504.XP.S 505.XP.S 506.XP 507.XP.MI.S.SA
14.1 13 001.S 002.S.MI 002.S.MI.SA 003.S 004.S 005.S 006.S 007.S 008.S 009.S 012.S 501.XP.S 502.XP.S
14.2 14 014.MI 015.S 016 018 019.S 020.S 022 024 025 027 501.XP 502.XP 503.XP 504.XP 505.XP
14.3 19 029.S 030.S 031.S 032.S 033.S 035.S 037.S 039.S 040 041.S 045.S 046.S 047 048.S.MI 048.S.MI.SA 050.S 501.XP.MI 501.XP.MI.SA 502.XP.S
Chapter 15: Distribution-Free Procedures
15.CE 1 001.SIP
15.Lab 2 001.Excel 001.R
15.SE 9 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
15.1 12 001.S 003.S 004 005.MI 005.MI.SA 007.S 008.S 009.S 010.S 501.XP 502.XP 503.XP
15.2 12 011.S 013.S 014 015.S 016 017.S 018 019.MI 019.MI.SA 501.XP.MI 501.XP.MI.SA 502.XP
15.3 11 020 021.S 022 023.S 024 025 026 027.S 501.XP 502.XP.MI 502.XP.MI.SA
15.4 9 028.MI.SA 028.S.MI 029.S 030.S 031.S 032.S 033.S 035.S 501.XP.S
Chapter 16: Quality Control Methods
16.CE 1 001.SIP
16.SE 4 501.XP 502.XP 503.XP.S 504.XP
16.1 6 001 002 003 004.S.MI 004.S.MI.SA 005
16.2 13 006.S 007.S 008 009.MI 011 012 013.S 014 015 016 017 018 019 021
16.3 9 022 023 024 025 026 027 028 029 030
16.4 15 031.MI 031.MI.SA 032 033 034 035 036 037 038.MI 038.MI.SA 039 040 041 042 043
16.5 5 045 046 047 048 049
16.6 5 052.S 053.S 054.S 055.S 056.S
Total 1571 (4)  

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