Probability and Statistics for Engineering and the Sciences 9th edition

Jay Devore
Publisher: Cengage Learning

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• Devore Probability and Statistics for Engineering and the Sciences 9e with SALT - Updated July 2021
• Devore Probability and Statistics for Engineering and the Sciences 9e: Stats in Practice Video Questions
• Devore Probability and Statistics for Engineering and the Sciences 9e: Labs - TI Calculators
• Devore Probability and Statistics for Engineering and the Sciences 9e: Labs - Excel
• Devore Probability and Statistics for Engineering and the Sciences 9e: Labs - JMP
• Devore Probability and Statistics for Engineering and the Sciences 9e: Labs - Minitab
• Devore Probability and Statistics for Engineering and the Sciences 9e: Labs - SPSS
• Devore Probability and Statistics for Engineering and the Sciences 9e: Labs - R
• Devore Probability and Statistics for Engineering and the Sciences 9e: Project Milestones
• College Success Toolkit
• Math Mindset Modules - 2021 Update

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

• Chapter 1: Overview and Descriptive Statistics
• 1: Concept Explorations (7)
• 1: SALT Tutorial - Supporting Sections 1.2 and 1.4 (4)
• 1: Precalculus Review (16)
• 1.1: Populations, Samples, and Processes (10)
• 1.2: Pictorial and Tabular Methods in Descriptive Statistics (21)
• 1.3: Measures of Location (12)
• 1.4: Measures of Variability (18)
• 1: Supplementary Exercises (21)
• 1: R Activities (6)
• 1: Select Your Scenario (beta) - Supporting Sections 1.2 and 1.4 (2)
• 1: Active Examples (5)
• 1: JMP Simulations (13)
• 1: Concept Questions (34)
• 1: Labs (12)
• 1: Test Bank (239)

• Chapter 2: Probability
• 2: Concept Explorations (2)
• 2: Precalculus Review (21)
• 2.1: Sample Spaces and Events (10)
• 2.2: Axioms, Interpretations, and Properties of Probability (20)
• 2.3: Counting Techniques (17)
• 2.4: Conditional Probability (25)
• 2.5: Independence (19)
• 2: Supplementary Exercises (20)
• 2: R Activities (3)
• 2: Active Examples (10)
• 2: Concept Questions (24)
• 2: Labs (5)

• Chapter 3: Discrete Random Variables and Probability Distributions
• 3: Concept Explorations (2)
• 3: SALT Tutorial - Supporting Section 3.4 (1)
• 3: Precalculus Review (18)
• 3.1: Random Variables (11)
• 3.2: Probability Distributions for Discrete Random Variables (18)
• 3.3: Expected Values (16)
• 3.4: The Binomial Probability Distribution (21)
• 3.5: Hypergeometric and Negative Binomial Distributions (12)
• 3.6: The Poisson Probability Distribution (14)
• 3: Supplementary Exercises (21)
• 3: R Activities (4)
• 3: Select Your Scenario (beta) - Supporting Section 3.4 (1)
• 3: Active Examples (8)
• 3: Concept Questions (28)
• 3: Labs (5)
• 3: Test Bank (37)

• Chapter 4: Continuous Random Variables and Probability Distributions
• 4: Concept Explorations (3)
• 4: SALT Tutorial - Supporting Section 4.3 (4)
• 4: Precalculus and Calculus Review (23)
• 4.1: Probability Density Functions (11)
• 4.2: Cumulative Distribution Functions and Expected Values (17)
• 4.3: The Normal Distribution (24)
• 4.4: The Exponential and Gamma Distributions (12)
• 4.5: Other Continuous Distributions (13)
• 4.6: Probability Plots (10)
• 4: Supplementary Exercises (22)
• 4: R Activities (8)
• 4: Select Your Scenario (beta) - Supporting Section 4.3 (3)
• 4: Active Examples (8)
• 4: JMP Simulations (5)
• 4: Concept Questions (16)
• 4: Labs (5)
• 4: Test Bank (58)

• Chapter 5: Joint Probability Distributions and Random Samples
• 5: Concept Explorations (2)
• 5: Calculus Review (4)
• 5.1: Jointly Distributed Random Variables (19)
• 5.2: Expected Values, Covariance, and Correlation (15)
• 5.3: Statistics and Their Distributions (9)
• 5.4: The Distribution of the Sample Mean (13)
• 5.5: The Distribution of a Linear Combination (12)
• 5: Supplementary Exercises (12)
• 5: Active Examples (9)
• 5: JMP Simulations (3)
• 5: Concept Questions (10)
• 5: Test Bank (51)

• Chapter 6: Point Estimation
• 6: Concept Explorations (2)
• 6: Precalculus and Calculus Review (18)
• 6.1: Some General Concepts of Point Estimation (21)
• 6.2: Methods of Point Estimation (11)
• 6: Supplementary Exercises (11)
• 6: R Activities (4)
• 6: Active Examples (9)
• 6: Concept Questions (2)

• Chapter 7: Statistical Intervals Based on a Single Sample
• 7: Concept Explorations (3)
• 7: SALT Tutorial - Supporting Sections 7.1, 7.2, and 7.3 (1)
• 7: Precalculus Review (8)
• 7.1: Basic Properties of Confidence Intervals (12)
• 7.2: Large-Sample Confidence Intervals for a Population Mean and Proportion (15)
• 7.3: Intervals Based on a Normal Population Distribution (12)
• 7.4: Confidence Intervals for the Variance and Standard Deviation of a Normal Population (6)
• 7: Supplementary Exercises (16)
• 7: R Activities (6)
• 7: Select Your Scenario (beta) - Supporting Sections 7.1, 7.2, and 7.3 (1)
• 7: Active Examples (7)
• 7: JMP Simulations (9)
• 7: Concept Questions (10)
• 7: Labs (6)
• 7: Test Bank (23)

• Chapter 8: Tests of Hypotheses Based on a Single Sample
• 8: Concept Explorations (5)
• 8: SALT Tutorial - Supporting Sections 8.3 and 8.4 (2)
• 8: Precalculus Review (2)
• 8.1: Hypotheses and Test Procedures (16)
• 8.2: z Tests for Hypotheses about a Population Mean (11)
• 8.3: The One-Sample t Test (14)
• 8.4: Tests Concerning a Population Proportion (12)
• 8.5: Further Aspects of Hypothesis Testing (6)
• 8: Supplementary Exercises (26)
• 8: R Activities (6)
• 8: Select Your Scenario (beta) - Supporting Sections 8.3 and 8.4 (2)
• 8: Active Examples (4)
• 8: JMP Simulations (13)
• 8: Concept Questions (10)
• 8: Labs (6)
• 8: Test Bank (54)

• Chapter 9: Inferences Based on Two Samples
• 9: Concept Explorations (3)
• 9: SALT Tutorial - Supporting Sections 9.2, 9.3, and 9.4 (3)
• 9: Precalculus Review (6)
• 9.1: z Tests and Confidence Intervals for a Difference Between Two Population Means (16)
• 9.2: The Two-Sample t Test and Confidence Interval (17)
• 9.3: Analysis of Paired Data (13)
• 9.4: Inferences Concerning a Difference Between Population Proportions (11)
• 9.5: Inferences Concerning Two Population Variances (9)
• 9: Supplementary Exercises (19)
• 9: R Activities (9)
• 9: Select Your Scenario (beta) - Supporting Sections 9.2, 9.3, and 9.4 (2)
• 9: Active Examples (6)
• 9: JMP Simulations (24)
• 9: Concept Questions (20)
• 9: Labs (6)
• 9: Test Bank (104)

• Chapter 10: The Analysis of Variance
• 10: Concept Explorations (4)
• 10: Precalculus Review (10)
• 10.1: Single-Factor ANOVA (10)
• 10.2: Multiple Comparisons in ANOVA (10)
• 10.3: More on Single-Factor ANOVA (13)
• 10: Supplementary Exercises (7)
• 10: R Activities (3)
• 10: Active Examples (8)
• 10: JMP Simulations (4)
• 10: Concept Questions (6)
• 10: Test Bank (111)

• Chapter 11: Multifactor Analysis of Variance
• 11: Concept Explorations (1)
• 11: Precalculus Review (7)
• 11.1: Two-Factor ANOVA with Kij = 1 (11)
• 11.2: Two-Factor ANOVA with Kij > 1 (9)
• 11.3: Three-Factor ANOVA (8)
• 11.4: 2p Factorial Experiments (8)
• 11: Supplementary Exercises (16)
• 11: Active Examples (7)
• 11: JMP Simulations (2)
• 11: Concept Questions (4)
• 11: Labs (4)
• 11: Test Bank (90)

• Chapter 12: Simple Linear Regression and Correlation
• 12: Concept Explorations (4)
• 12: SALT Tutorial - Supporting Sections 12.1, 12.2, and 12.3
• 12: Precalculus Review (16)
• 12.1: The Simple Linear Regression Model (10)
• 12.2: Estimating Model Parameters (14)
• 12.3: Inferences About the Slope Parameter β1 (11)
• 12.4: Inferences Concerning μY · X* and the Prediction of Future Y Values (10)
• 12.5: Correlation (9)
• 12: Supplementary Exercises (17)
• 12: Select Your Scenario (beta) - Supporting Sections 12.1, 12.2, and 12.3
• 12: Active Examples (7)
• 12: JMP Simulations (3)
• 12: Concept Questions (12)
• 12: Labs (6)
• 12: Test Bank (59)

• Chapter 13: Nonlinear and Multiple Regression
• 13: Concept Explorations (2)
• 13: Precalculus and Calculus Review (22)
• 13.1: Assessing Model Adequacy (11)
• 13.2: Regression with Transformed Variables (7)
• 13.3: Polynomial Regression (9)
• 13.4: Multiple Regression Analysis (12)
• 13.5: Other Issues in Multiple Regression (7)
• 13: Supplementary Exercises (14)
• 13: Active Examples (7)
• 13: Concept Questions (6)
• 13: Test Bank (21)

• Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
• 14: Concept Explorations (2)
• 14: Precalculus and Calculus Review (15)
• 14.1: Goodness-of-Fit Tests When Category Probabilities Are Completely Specified (10)
• 14.2: Goodness-of-Fit Tests for Composite Hypotheses (12)
• 14.3: Two-Way Contingency Tables (10)
• 14: Supplementary Exercises (12)
• 14: Active Examples (10)
• 14: JMP Simulations (6)
• 14: Concept Questions (8)
• 14: Labs (6)
• 14: Test Bank (46)

• Chapter 15: Distribution-Free Procedures
• 15: Concept Explorations (2)
• 15: Precalculus Review (10)
• 15.1: The Wilcoxon Signed-Rank Test (8)
• 15.2: The Wilcoxon Rank-Sum Test (7)
• 15.3: Distribution-Free Confidence Intervals (7)
• 15.4: Distribution-Free ANOVA (6)
• 15: Supplementary Exercises (15)
• 15: Active Examples (7)
• 15: Concept Questions (4)
• 15: Labs (6)
• 15: Test Bank (63)

• Chapter 16: Quality Control Methods
• 16: Concept Explorations (1)
• 16: Precalculus Review (10)
• 16.1: General Comments on Control Charts (6)
• 16.2: Control Charts for Process Location (10)
• 16.3: Control Charts for Process Variation (5)
• 16.4: Control Charts for Attributes (10)
• 16.5: CUSUM Procedures (4)
• 16.6: Acceptance Sampling (5)
• 16: Supplementary Exercises (7)
• 16: Active Examples (9)
• 16: Concept Questions
• 16: Labs (4)

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

Make statistics practical for engineering students in any specialty with Probability and Statistics for Engineering and the Sciences, 9th edition. This calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals put concepts, models, and methodologies to work in today's scientific careers. The WebAssign component for this text engages students with immediate feedback, lecture videos, and an interactive eBook.

New for Fall '21!

• 6 New SALT Tutorial questions added to help your students understand how to use SALT in their WebAssign assignments. Students are provided with scaffolded instruction not only on the content, but how to use SALT to compute and analyze data.
• 2 New Select Your Scenario questions were added. Select Your Scenario problems provide students with 3 different contexts to choose from. They select the scenario most relevant to them, and then solve the problem. Regardless of which scenario the student chooses, they will be required to answer questions demonstrating knowledge of a learning objective, making them the perfect questions to assign toward the end of a chapter
• 43 questions updated with SALT (Statistical Analysis and Learning Tool), including usability updates and questions with ANOVA and Normal Probability Plots.
• 50 New R Companion questions designed to introduce students to statistical data analysis using R while working through the concepts and topics in Probability and Statistics for Engineering and the Sciences.
To find these new questions, locate the Digital Content Update spreadsheet under your instructor resources for a full list of question IDs.

R Companion Available

Introduce students to statistical data analysis using R with the new R Companion for Probability and Statistics for Engineering and the Sciences, 9th edition. This solution offers a supplemental eBook, homework problems and real-world examples that show students how to approach topics using R.

New for Spring '21

• Additional SALT Tutorial Questions added to help your students understand how to use SALT in their WebAssign assignments. Students are provided with scaffolded instruction not only on the content, but how to use SALT to compute and analyze data.
• Additional Select Your Scenario Questions were added. Select Your Scenario problems provide students with 3 different contexts to choose from. They select the scenario most relevant to them, and then solve the problem. Regardless of which scenario the student chooses, they will be required to answer questions demonstrating knowledge of a learning objective, making them the perfect questions to assign toward the end of a chapter.
• New Concept Videos were added. Concept Videos are 7-10 minutes in length and are designed to help students with big picture understanding of statistics.
• New Concept Video Questions were added providing students with a concept video along with two to three comprehension questions.
• Questions updated with SALT (Statistical Analysis and Learning Tool), including questions with frequency data and questions requiring the implementation of a Chi-Square test.

New for Fall '20 / Spring '21 Academic Year

• SALT (Statistical Analysis and Learning Tool) is a data analysis tool for introductory level statistics courses that helps students gain improved conceptual understanding of statistics through visualization and analysis of datasets. SALT can be used on its own or as a tool to answer SALT-enabled questions in WebAssign.
• Instructor Introduction - Statistical Analysis and Learning Tool (SALT) | WebAssign

The Statistical Analysis and Learning Tool (SALT) is designed by statisticians, for statisticians, to help you get introductory students deeply engaged in da...

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.
• Test Banks: A pool of over 1,000 assessments for use in quizzes, tests, and exams.
• 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.
• Use the Textbook Edition Upgrade Tool to automatically update all of your assignments from the previous edition to corresponding questions in this textbook.

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.
• Active Examples (AE) guide students through the process needed to master a concept and include worked-out solutions.
• 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).
• TI-83/84 and TI-Nspire Calculator
• Excel
• JMP
• Minitab
• SPSS
• R
• Precalculus and Calculus Review (P) is available within each chapter to assign to help close readiness gaps.

Questions to Help Students Gain Interest and Assess Conceptual Understanding

• Stats in Practice Video Questions (SIP) show students how Statistics applies in the real world. Short and current news videos introduce each module. Each video is accompanied by multiple-choice and discussion questions, so that students can understand real-world context of what they're learning and stay engaged throughout the whole module.
• Concept Questions (CQ) provide a new way of engaging with non-computational questions. Students enter a free response before they choose a multiple-choice answer, closing the gap between homework and test preparedness.
• Concept Video Questions (CV) provide students with a concept video along with two to three comprehension questions.
• Select Your Scenario (SYS) problems provide students with 3 different contexts to choose from. They select the scenario most relevant to them, and then solve the problem. Regardless of which scenario the student chooses, they will be required to answer questions demonstrating knowledge of a learning objective, making them the perfect questions to assign toward the end of a chapter.

Tools to Explore Real Data with Technology

• The Statistical Analysis and Learning Tool (SALT) is designed by statisticians, for statisticians, to help you get introductory students deeply engaged in data manipulation, analysis, and interpretation without getting bogged down in complex computations.
• SALT Tutorial Questions (ST): Help your students understand how to use SALT in their WebAssign assignments. Students are provided with scaffolded instruction not only on the content, but how to use SALT to compute and analyze data.
• Simulation Questions by JMP (JMP): Have your students understand concepts by utilizing real data. Students must discover the answer to guided questions by interacting with a simulation of real data in our JMP interactive applet within WebAssign.
• Labs (Lab): Students can perform real statistical analysis in class or online with premade and module-specific Stats Labs. Require students to use the instructor-selected data analysis tool to analyze a real data set, pulling together knowledge learned from that module and previous material to facilitate whole-picture learning.
• Project Milestones (PJT): Allow one place for students to ideate, collaborate, and submit a longer-term project. The four sequential milestones are:
1. Research Design
2. Gather Data
3. Analyze Data
4. Present Results

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
AE - Active Example
SIP - Stats in Practice Video Question
JMP - Simulation Question by JMP
CQ - Concept Question
Lab - Lab
PJT - Project Milestone
TB - Test Bank
XP - Extra Problem
P - Precalculus/Calculus Prerequisite Exercise
S - SALT
ST - SALT Tutorial
MI - Master It
MI.SA - Stand Alone Master It

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.AE 5 004 007 011 013 016
1.CE 7 001.CV 001.SIP 002.CV 003.CV 004.CV 005.CV 006.CV
1.CQ 34 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034
1.JMP 13 001 002 003 004 005 006 007 008 009 010 011 012 013
1.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
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 21 063 065.MI.S 065.MI.SA 067 069 071 073 075 077 079 081 083 501.XP.S 502.XP.S 503.XP.S 504.XP 505.XP.S 506.XP 507.XP.S 508.XP 509.XP
1.ST 4 001.S 002.S 003.S 004.S
1.SYS 2 001.S 002.S
1.TB 239 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239
1.1 10 001 002 003 004 005 006 007 008.MI 008.MI.SA 009
1.2 21 010 011.MI 011.MI.SA 012 013 014 015 016 017.MI.S 017.MI.SA 019.S 020 021.S 022 023 025.S 026 027 029.S 030 032
1.3 12 033.S 034.S 035.MI.S 035.MI.SA 036 037 038.S 039.S 040.S 041.S 042 043.S
1.4 18 044.MI 044.MI.SA 045.MI 045.MI.SA 046 047.S 048 049.S 050.S 051.S 052 053 055 057 058 059 060 061
Chapter 2: Probability
2.AE 10 002 005 010 013 018 020 021 027 031 034
2.CE 2 001.CV 001.SIP
2.CQ 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
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 20 091 093 095 097.MI 097.MI.SA 099 101 103 105 107 109 111 113 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
2.1 10 001 002 003 004 005 006 007 008 009 010
2.2 20 011.MI 011.MI.SA 012 013 014.MI 014.MI.SA 015 016 017 018 019 020 021 022 023 024 025 026 027 028
2.3 17 029 030.MI 030.MI.SA 031 032.MI 032.MI.SA 033 034 035 036 037 038 039 040 041 042 043
2.4 25 045.MI 045.MI.SA 046 047 048 049 050 051 052 053 054 055.MI 055.MI.SA 057 059 060 061 062 063 064 065 066 067 068 069
2.5 19 071.MI 071.MI.SA 073 074 075 076 077 078 079.MI 079.MI.SA 080 081 082 083 084 085 086 087 088
Chapter 3: Discrete Random Variables and Probability Distributions
3.AE 8 003 008 012 017 023 032 036 039
3.CE 2 001.CV 001.SIP
3.CQ 28 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028
3.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
3.P 18 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
3.R 4 001 002 003 004
3.SE 21 095 097.S 099 101.MI 101.MI.SA 103 105 107.S 109 111 113.S 115 117 119 121 508.XP 509.XP.S 510.XP 511.XP 512.XP 513.XP
3.ST 1 001.S
3.SYS 1 001.S
3.TB 37 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037
3.1 11 001 002.MI 002.MI.SA 003 004 005 006 007 008 009 010
3.2 18 011 012 013.MI 013.MI.SA 014 015 016 017 018 019 020 021 022 023 024 025 026 027
3.3 16 029.MI 029.MI.SA 030 031 032 033 034 035 036.MI 036.MI.SA 037 038 039 041 042 043
3.4 21 046.MI 046.MI.SA 047.S 048.S 049.MI.S 049.MI.SA 050.S 051.S 052.S 053.S 054.S 055.S 056.S 057.S 059.S 060 061.S 062 063 065 066.S
3.5 12 068 069 070.MI 070.MI.SA 071 072 073 074 075 076 077 078
3.6 14 079 080.MI 080.MI.SA 081 082 083 085 086.MI 086.MI.SA 087 088 089 091 092
Chapter 4: Continuous Random Variables and Probability Distributions
4.AE 8 003 006 010 014.S 023 025 028 031
4.CE 3 001.CV 001.SIP 002.CV
4.CQ 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
4.JMP 5 001 002 003 004 005
4.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
4.P 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
4.R 8 001 002 003 004 005 006 007 008
4.SE 22 099 101 103.MI.S 103.MI.SA 105.S 107 109 111 113 115 117 119 121.S 123 125 127 501.XP 502.XP 503.XP 504.XP 505.XP.S 506.XP.S
4.ST 4 001.S 002.S 003.S 004.S
4.SYS 3 001.S 002.S 003.S
4.TB 58 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058
4.1 11 001 002.MI 002.MI.SA 003 004 005 006 007 008 009 010
4.2 17 011.MI 011.MI.SA 012 013.MI 013.MI.SA 014 015 016 017 018 019 021 022 023 024 025 026
4.3 24 028.MI.S 028.MI.SA 029.S 030.S 031.S 032.MI.S 032.MI.SA 033.S 034.S 036.S 037.S 038.S 039.S 040.S 041.S 042.S 043.S 044.S 046.S 047.S 050.S 053.S 054.S 056
4.4 12 059 060 061.MI 061.MI.SA 062 063 065 066 067 068 069 071
4.5 13 072 073.MI 073.MI.SA 074 075 076.S 078 079.S 081.S 083 084 085 086
4.6 10 087 088.MI.S 088.MI.SA 090.MI 090.MI.SA 091.S 092.S 094.S 096 097
Chapter 5: Joint Probability Distributions and Random Samples
5.AE 9 007 010 016 022 024 025 027.S 030 032
5.CE 2 001.CV 001.SIP
5.CQ 10 001 002 003 004 005 006 007 008 009 010
5.JMP 3 001 002 003
5.P 4 001 002 003 004
5.SE 12 075.MI 075.MI.SA 079.S 081 085.S 087.S 091 093 501.XP 502.XP 503.XP.S 504.XP.S
5.TB 51 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051
5.1 19 001.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
5.2 15 022.MI 022.MI.SA 023 024 025 026 027 028 029 030 031 032 034 035 036
5.3 9 037 038.MI 038.MI.SA 039.S 040 041 042 043 044
5.4 13 046 047.S 048.S 049.S 050.S 051.S 052.MI.S 052.MI.SA 053.S 054.S 055 056.S 057.S
5.5 12 058 059.S 061.MI 061.MI.SA 062.S 064 066.S 068.S 070 071.S 072.S 074.S
Chapter 6: Point Estimation
6.AE 9 001 006 007 010 012 016 017 019 022
6.CE 2 001.SIP 501.XP.SIP
6.CQ 2 001 002
6.P 18 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
6.R 4 001 002 003 004
6.SE 11 031 033 034 035 036.MI 036.MI.SA 037 502.XP 503.XP 504.XP 505.XP
6.1 21 001 002.MI 002.MI.SA 003.S 004.MI 004.MI.SA 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
6.2 11 020 021 022.MI 022.MI.SA 024 025 026 027 028 029 030
Chapter 7: Statistical Intervals Based on a Single Sample
7.AE 7 003 004 008 009 012 013 015.S
7.CE 3 001.CV 001.SIP 002.CV
7.CQ 10 001 002 003 004 005 006 007 008 009 010
7.JMP 9 001 002 003 004 005 006 007 008 009
7.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
7.P 8 001 002 003 004 005 006 007 008
7.R 6 Lab.001 001 002 003 004 005
7.SE 16 047.MI 047.MI.SA 050.S 053 054 055.S 057 059 061 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP.S
7.ST 1 001.S
7.SYS 1 001.S
7.TB 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
7.1 12 001.MI.S 001.MI.SA 002 003 004 005 006 007 008 009 010 011.S
7.2 15 012 013 014 015.MI.S 015.MI.SA 016 017 019 020 021 022 023 024 025.S 026
7.3 12 028.MI.S 028.MI.SA 029.S 030.S 031.S 033 034 035 036 037 038 039
7.4 6 042.S 043.MI.S 043.MI.SA 044 045 046
Chapter 8: Tests of Hypotheses Based on a Single Sample
8.AE 4 004.S 007 011 015
8.CE 5 001.CV 001.SIP 002.CV 002.SIP 003.CV
8.CQ 10 001 002 003 004 005 006 007 008 009 010
8.JMP 13 001 002 003 004 005 006 007 008 009 010 011 012 013
8.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
8.P 2 001 002
8.R 6 Lab.001 001 002 003 004 005
8.SE 26 057.MI 057.MI.SA 059 061.S 062.S 063 065.MI 065.MI.SA 067.S 069 071 073.S 075 077 080.S 501.XP.S 502.XP.S 503.XP.S 504.XP.S 505.XP 506.XP.S 507.XP.S 508.XP.S 509.XP 510.XP 511.XP.S
8.ST 2 001.S 002.S
8.SYS 2 001.S 002.S
8.TB 54 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054
8.1 16 001 002 003 004.MI 004.MI.SA 005 006 007 008 009 010 011.S 012.MI 012.MI.SA 013 014
8.2 11 015.S 016.MI.S 016.MI.SA 018 020 021 022 023 024 026 027
8.3 14 029.S 030.S 031.MI.S 031.MI.SA 032 033.S 034.S 035.S 036.S 037.S 038.S 039.S 040.S 041.S
8.4 12 042.S 043.S 044.MI.S 044.MI.SA 045.S 046.S 047.S 048 049.S 050.S 051.S 052.S
8.5 6 053.MI 053.MI.SA 054.S 055.MI 055.MI.SA 056.S
Chapter 9: Inferences Based on Two Samples
9.AE 6 001 002 003.S 006 008 012
9.CE 3 001.CV 001.SIP 002.CV
9.CQ 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
9.JMP 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
9.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
9.P 6 001 002 003 004 005 006
9.R 9 001 002 003 004 005 006 007 008 009
9.SE 19 067.S 071.S 073.S 077.MI.S 077.MI.SA 079 083.S 085.S 089.S 091.S 095 501.XP 502.XP 503.XP 504.XP.S 505.XP.S 506.XP.S 507.XP.S 508.XP.S
9.ST 3 001.S 002.S 003.S
9.SYS 2 001.S 002.S
9.TB 104 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106
9.1 16 001 002 003.MI 003.MI.SA 004 005 006 007 008 009 010 011 012 013.S 014 016
9.2 17 017 018.S 019.MI.S 019.MI.SA 020.S 021.S 022 024 026 027.S 028.S 029.S 030 031 032.S 033.S 035.S
9.3 13 036.S 037.MI 037.MI.SA 038 039.S 040 041.S 042 043 044.S 045.S 046 047
9.4 11 049.S 050.MI.S 050.MI.SA 051.S 052.S 053.S 054.S 055 056 057.S 058
9.5 9 059.MI.S 059.MI.SA 060.MI.S 060.MI.SA 061 062 063 064 065
Chapter 10: The Analysis of Variance
10.AE 8 001 002 005 006 007 008 009 011
10.CE 4 001.CV 001.SIP 002.SIP 003.SIP
10.CQ 6 001 002 003 004 005 006
10.JMP 4 001 002 003 004
10.P 10 001 002 003 004 005 006 007 008 009 010
10.R 3 Lab.001 001 002
10.SE 7 035 038.S 039.S 040.MI 040.MI.SA 041.S 045
10.TB 111 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111
10.1 10 001.S 002.S 003.S 005.MI.S 005.MI.SA 006.S 007.S 008.S 009.S 010
10.2 10 011.MI 011.MI.SA 012 013 014.S 016 017.S 018.S 019.S 020.S
10.3 13 022.S 023.S 024.MI.S 024.MI.SA 025.S 026.S 027.S 028 030 031 032.S 033 034
Chapter 11: Multifactor Analysis of Variance
11.AE 7 001 003 004 009 011 016 501.XP
11.CE 1 001.SIP
11.CQ 4 001 002 003 004
11.JMP 2 001 002
11.Lab 4 001.JMP 001.Minitab 001.R 001.SPSS
11.P 7 001 002 003 004 005 006 007
11.SE 16 051 052 053.MI 053.MI.SA 054 056 057 058 059 501.XP 502.XP.S 503.XP.S 504.XP 505.XP 506.XP 507.XP.S
11.TB 90 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090
11.1 11 001 002.MI 002.MI.SA 004.S 005 006 008 009.S 012 014 015
11.2 9 016.S 017 018 021.MI 021.MI.SA 022 023 024 026
11.3 8 027.S 028 030.MI.S 030.MI.SA 032 033 034 036
11.4 8 038.MI 038.MI.SA 039 040 042 044 046 047
Chapter 12: Simple Linear Regression and Correlation
12.AE 7 001 002 003 006.S 013.S 017.S 018
12.CE 4 001.CV 001.SIP 002.CV 002.SIP
12.CQ 12 001 002 003 004 005 006 007 008 009 010 011 012
12.JMP 3 001 002 003
12.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
12.P 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
12.SE 17 069 071.MI 071.MI.SA 075 077 081 083 087 501.XP 502.XP 503.XP.S 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
12.TB 59 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059
12.1 10 001.S 002.S 003.S 005 006 007.MI 007.MI.SA 008.S 009.S 011.S
12.2 14 013 014.MI.S 014.MI.SA 015 016.S 017.S 018.S 019.S 020 021 023 024 025 027
12.3 11 031.MI 031.MI.SA 032 033 034 035 036 037 038 039.S 042
12.4 10 044.MI 044.MI.SA 045 046 047 049 051 052 054 056
12.5 9 057 058 060 061.MI 061.MI.SA 062 063 064 067
Chapter 13: Nonlinear and Multiple Regression
13.AE 7 001 003 007 012 013 020 024
13.CE 2 001.CV 001.SIP
13.CQ 6 001 002 003 004 005 006
13.P 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022
13.SE 14 067.MI 067.MI.SA 072 076 081 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
13.TB 21 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021
13.1 11 001.MI 001.MI.SA 002 004 005 006 007 008.S 009 010 012
13.2 7 015 016 017.MI 017.MI.SA 018 021 024
13.3 9 026 027 028.MI 028.MI.SA 029 030 031 032 034
13.4 12 036 037 038.MI 038.MI.SA 039 042 044 045 046 048 051 052
13.5 7 056.MI 056.MI.SA 058 060 061 062 064
Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
14.AE 10 001 002 003 004 005 006 008 009 012 013
14.CE 2 001.CV 001.SIP
14.CQ 8 001 002 003 004 005 006 007 008
14.JMP 6 001 002 003 004 005 006
14.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
14.P 15 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015
14.SE 12 037.S 041.MI.S 041.MI.SA 043 044.S 048 501.XP.S 502.XP.S 503.XP.S 504.XP.S 505.XP.S 506.XP
14.TB 46 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046
14.1 10 001.S 002.MI.S 002.MI.SA 03.S 04.S 05.S 06.S 07.S 08.S 009
14.2 12 012.MI 012.MI.SA 013 014 016 017 018 019 020 021 022 023
14.3 10 024.MI 024.MI.SA 025.S 026.S 027.S 028.S 030.S 032.S 035 036.S
Chapter 15: Distribution-Free Procedures
15.AE 7 001 003 006 007 008 009 010
15.CE 2 001.CV 001.SIP
15.CQ 4 001 002 003 004
15.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
15.P 10 001 002 003 004 005 006 007 008 009 010
15.SE 15 028 029 031 032.MI 032.MI.SA 033 034 035 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
15.TB 63 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063
15.1 8 001 003 004 005.MI 005.MI.SA 007 008 009
15.2 7 010 012.MI 012.MI.SA 013 014 015 016
15.3 7 017 018 019 020 021 022.MI 022.MI.SA
15.4 6 023.MI 023.MI.SA 024 025 026 027
Chapter 16: Quality Control Methods
16.AE 9 001 002 003 004 006 007 008 009 010
16.CE 1 001.SIP
16.Lab 4 001.JMP 001.Minitab 001.R 001.SPSS
16.P 10 001 002 003 004 005 006 007 008 009 010
16.SE 7 041 042 045 501.XP 502.XP 503.XP.S 504.XP
16.1 6 001 002 003 004.MI.S 004.MI.SA 005
16.2 10 006.S 007.S 008 009.MI 009.MI.SA 011 012 013.S 014 015
16.3 5 016 017 018 019 020
16.4 10 021.MI 021.MI.SA 022 023 024 025 026 027 028.MI 028.MI.SA
16.5 4 029 030 031 032
16.6 5 034.S 035.S 036.S 037.S 038.S
Total 2880