# Understandable Statistics: Concepts and Methods 12th edition

Charles Henry Brase and Corrinne Pellillo Brase
Publisher: Cengage Learning

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## Textbook Resources

Additional instructional and learning resources are available with the textbook, and might include testbanks, slide presentations, online simulations, videos, and documents.

• College Success Toolkit
• Math Mindset
• Brase Understandable Statistics 12e with SALT - Updated March 2021
• Brase Understandable Statistics 12e: Stats in Practice Video Questions
• Brase Understandable Statistics 12e: Labs - TI Calculators
• Brase Understandable Statistics 12e: Labs - Excel
• Brase Understandable Statistics 12e: Labs - JMP
• Brase Understandable Statistics 12e: Labs - Minitab
• Brase Understandable Statistics 12e: Labs - SPSS
• Brase Understandable Statistics 12e: Labs - R
• Brase Understandable Statistics 12e: Project Milestones

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

• Chapter 1: Getting Started
• 1: Concept Explorations (4)
• 1.1: What Is Statistics? (16)
• 1.2: Random Samples (11)
• 1.3: Introduction to Experimental Design (10)
• 1: Chapter Review Problems (10)
• 1: Concept Questions (16)
• 1: Labs (6)
• 1: Test Bank (30)

• Chapter 2: Organizing Data
• 2: Concept Explorations (2)
• 2.1: Frequency Distributions, Histograms, and Related Topics (39)
• 2.2: Bar Graphs, Circle Graphs, and Time-Series Graphs (12)
• 2.3: Stem-and-Leaf Displays (12)
• 2: Chapter Review Problems (11)
• 2: JMP Simulations (3)
• 2: Concept Questions (10)
• 2: Labs (5)
• 2: Test Bank (74)

• Chapter 3: Averages and Variation
• 3: Concept Explorations (3)
• 3.1: Measures of Central Tendency: Mode, Median, and Mean (37)
• 3.2: Measures of Variation (42)
• 3.3: Percentiles and Box-and-Whisker Plots (17)
• 3: Chapter Review Problems (16)
• 3: Cumulative Review Problems (24)
• 3: JMP Simulations (2)
• 3: Concept Questions (10)
• 3: Labs (6)
• 3: Test Bank (91)

• Chapter 4: Elementary Probability Theory
• 4: Concept Explorations (2)
• 4.1: What Is Probability? (21)
• 4.2: Some Probability Rules—Compound Events (40)
• 4.3: Trees and Counting Techniques (35)
• 4: Chapter Review Problems (16)
• 4: Concept Questions (8)
• 4: Labs (5)

• Chapter 5: The Binomial Probability Distribution and Related Topics
• 5: Concept Explorations (2)
• 5.1: Introduction to Random Variables and Probability Distributions (30)
• 5.2: Binomial Probabilities (46)
• 5.3: Additional Properties of the Binomial Distribution (54)
• 5.4: The Geometric and Poisson Probability Distributions (38)
• 5: Chapter Review Problems (32)
• 5: Concept Questions (22)
• 5: Labs (5)
• 5: Test Bank (37)

• Chapter 6: Normal Curves and Sampling Distributions
• 6: Concept Explorations (4)
• 6.1: Graphs of Normal Probability Distributions (19)
• 6.2: Standard Units and Areas Under the Standard Normal Distribution (100)
• 6.3: Areas Under Any Normal Curve (90)
• 6.4: Sampling Distributions (9)
• 6.5: The Central Limit Theorem (42)
• 6.6: Normal Approximation to Binomial Distribution and to Distribution (32)
• 6: Chapter Review Problems (37)
• 6: Cumulative Review Problems (19)
• 6: Concept Questions (14)
• 6: Labs (5)
• 6: Test Bank (180)

• Chapter 7: Estimation
• 7: Concept Explorations (5)
• 7.1: Estimating μ When σ Is Known (31)
• 7.2: Estimating μ When σ Is Unknown (56)
• 7.3: Estimating p in the Binomial Distribution (68)
• 7.4: Estimating μ1μ2 and p1p2 (44)
• 7: Chapter Review Problems (31)
• 7: JMP Simulations (13)
• 7: Concept Questions (18)
• 7: Labs (6)
• 7: Test Bank (30)

• Chapter 8: Hypothesis Testing
• 8: Concept Explorations (5)
• 8.1: Introduction to Statistical Tests (18)
• 8.2: Testing the Mean μ (52)
• 8.3: Testing a Proportion p (49)
• 8.4: Tests Involving Paired Differences (Dependent Samples) (45)
• 8.5: Testing μ1μ2 and p1p2 (Independent Samples) (61)
• 8: Chapter Review Problems (30)
• 8: JMP Simulations (22)
• 8: Concept Questions (20)
• 8: Labs (6)
• 8: Test Bank (240)

• Chapter 9: Correlation and Regression
• 9: Concept Explorations (4)
• 9.1: Scatter Diagrams and Linear Correlation (34)
• 9.2: Linear Regression and the Coefficient of Determination (48)
• 9.3: Inferences for Correlation and Regression (24)
• 9.4: Multiple Regression (7)
• 9: Chapter Review Problems (11)
• 9: Cumulative Review Problems (14)
• 9: JMP Simulations (8)
• 9: Concept Questions (18)
• 9: Labs (6)
• 9: Test Bank (114)

• Chapter 10: Chi-Square and F Distributions
• 10: Concept Explorations (3)
• 10.1: Chi-Square: Tests of Independence and of Homogeneity (27)
• 10.2: Chi-Square: Goodness of Fit (33)
• 10.3: Testing and Estimating a Single Variance or Standard Deviation (12)
• 10.4: Testing Two Variances (13)
• 10.5: One-Way ANOVA: Comparing Several Sample Means (10)
• 10.6: Introduction to Two-Way ANOVA (8)
• 10: Chapter Review Problems (16)
• 10: JMP Simulations (12)
• 10: Concept Questions (16)
• 10: Labs (6)
• 10: Test Bank (84)

• Chapter 11: Nonparametric Statistics
• 11: Concept Explorations (2)
• 11.1: The Sign Test for Matched Pairs (15)
• 11.2: The Rank-Sum Test (13)
• 11.3: Spearman Rank Correlation (13)
• 11.4: Runs Test for Randomness (14)
• 11: Chapter Review Problems (10)
• 11: Cumulative Review Problems (7)
• 11: Concept Questions (6)
• 11: Labs (6)
• 11: Test Bank (1)

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

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

Understandable Statistics: Concepts and Methods, 12th edition, by Brase and Brase is a thorough yet accessible program designed to help readers overcome their apprehensions about statistics. To reinforce this approach, and make the material interesting as well as easier to understand, the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. The WebAssign component for this text engages students with an interactive eBook and several other resources.

#### 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.
• Expanded Problem (EP) questions are expanded versions of existing questions that include intermediary steps to guide the student to the final answer.
• Feedback (FB) questions provide students with hints to help them stay motivated to master the problem.
• 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

### 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
MI - Master It
MI.SA - Stand Alone Master It
SIP - Stats in Practice Video Question
JMP - Simulation Question by JMP
CQ - Concept Question
PJT - Project Milestone
TB - Test Bank
R - Review
XP - Extra Problem
EP - Expanded Problem
FB - Feedback Question
S - SALT
ST - SALT Tutorial
Lab - Lab

##### 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: Getting Started
1.CE 4 001.CV 001.SIP 002.CV 003.CV
1.CQ 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
1.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
1.R 10 001 002 003 004 005 006 007 008 009 011
1.TB 30 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030
1.1 16 001 002 003 004 005 008 009.MI 009.MI.SA 010 011.MI 011.MI.SA 012.MI 012.MI.SA 013 014 015
1.2 11 001 002 003 008 009 010 015.MI 015.MI.SA 016 019 020
1.3 10 001 002 005.MI 005.MI.SA 006 007 008 009 010 011
Chapter 2: Organizing Data
2.CE 2 001.CV 001.SIP
2.CQ 10 001 002 003 004 005 006 007 008 009 010
2.JMP 3 001 002 003
2.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
2.R 11 001 002 003 004 005 006 008 009 010 010.S 011
2.TB 74 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074
2.1 39 ST.001.S SYS.001.S 001 002 003 004 005.MI 005.MI.SA 007 009 010 010.S 011.MI 011.MI.SA 013.MI 013.MI.SA 014 015 015.S 016 016.S 017 017.S 018 018.S 019.MI 019.MI.S 019.MI.SA 020 020.S 021 022 023 024 024.S 025 025.S 501.XP 501.XP.S
2.2 12 003 004 005 007 008.MI 008.MI.SA 010 011 012 013 014 015
2.3 12 001 002.MI 002.MI.SA 003 004 005.MI 005.MI.SA 006 007 008 009 010
Chapter 3: Averages and Variation
3.CE 3 001.CV 001.SIP 002.CV
3.CQ 10 001 002 003 004 005 006 007 008 009 010
3.CR 24 001 002 003 004 005 006 007 008 009 010 010.S 011 011.S 012 012.S 013 014 014.S 015 016 017 017.S 018 018.S
3.JMP 2 001 002
3.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
3.R 16 001 002 003 004 004.S 005 005.S 006 007 008 008.S 009 009.S 010 010.S 011
3.TB 91 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091
3.1 37 001 002 005.MI 005.MI.SA 007.MI 007.MI.SA 009 011 012 013 014.MI 014.MI.SA 016.MI 016.MI.S 016.MI.SA 017 017.S 018 019 019.S 020.MI 020.MI.S 020.MI.SA 021 021.S 022 022.S 023 023.S 024.MI 024.MI.SA 026.MI 026.MI.SA 027 028 029 030
3.2 42 001 002 003 004 005.MI 005.MI.SA 009 009.S 010.MI 010.MI.S 010.MI.SA 011 011.S 012 013.MI 013.MI.SA 014.MI 014.MI.SA 015.MI 015.MI.SA 016 016.S 017 017.S 018 018.S 019 019.S 020 021.MI 021.MI.SA 022 023 024 025.MI 025.MI.SA 026 026.S 027 028 029 030
3.3 17 ST.001.S SYS.001.S 001 002 003 004 005.MI 005.MI.SA 007.MI 007.MI.S 007.MI.SA 008 009 010 010.S 011 012
Chapter 4: Elementary Probability Theory
4.CE 2 001.CV 001.SIP
4.CQ 8 001 002 003 004 005 006 007 008
4.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
4.R 16 001 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
4.1 21 001 002 003 004 007.MI 007.MI.SA 011.MI 011.MI.SA 013 014 015 016 017 018 019 020 021.MI 021.MI.SA 022 023.MI 023.MI.SA
4.2 40 001 002 003.MI 003.MI.SA 005.MI 005.MI.SA 007.MI 007.MI.SA 011 012 013 014 015 016 017.MI 017.MI.SA 018 019.MI 019.MI.SA 020 021.MI 021.MI.SA 022 023 024 025 026 027.MI 027.MI.SA 028 029 030.MI 030.MI.SA 031 032 033.MI 033.MI.SA 034 035 036
4.3 35 001 002 003 004 005 006 007 008 009 010.MI 010.MI.SA 011.MI 011.MI.SA 012 013.MI 013.MI.SA 014 015 016 017.MI 017.MI.SA 018 019 020 021.MI 021.MI.SA 022 023 024.MI 024.MI.SA 025 026.MI 026.MI.SA 027 028
Chapter 5: The Binomial Probability Distribution and Related Topics
5.CE 2 001.CV 001.SIP
5.CQ 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022
5.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
5.R 32 001 002 003 003.S 004 005 006 006.S 007 007.S 008 008.S 009 009.S 010 011 011.S 012 013 013.S 014 014.S 015 016 017 018 019 020 501.XP 501.XP.S 502.XP 502.XP.S
5.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
5.1 30 001 002 003 005 006 007.MI 007.MI.SA 009 010.MI 010.MI.S 010.MI.SA 011 011.S 012 012.S 013.MI 013.MI.S 013.MI.SA 014 015.MI 015.MI.SA 016 017 018 019.MI 019.MI.SA 020 021 022 023
5.2 46 001 002 003 004 007 008 009 010 011.MI 011.MI.S 011.MI.SA 015 016.MI 016.MI.S 016.MI.SA 017.MI 017.MI.S 017.MI.SA 018 018.S 019.MI 019.MI.S 019.MI.SA 020 020.S 021 021.S 022.MI 022.MI.S 022.MI.SA 023.MI 023.MI.S 023.MI.SA 024 025 026 026.S 027 028 028.S 029 029.S 030 030.S 031 032
5.3 54 001 002 005 006 006.S 007 007.S 008 009 009.S 011 011.S 012.MI 012.MI.S 012.MI.SA 013 013.S 014.MI 014.MI.S 014.MI.SA 015.MI 015.MI.S 015.MI.SA 016 016.S 017 017.S 018 018.S 019 019.S 020 020.S 021 021.S 022 022.S 023 023.S 024.MI 024.MI.S 024.MI.SA 025 025.S 026.MI 026.MI.S 026.MI.SA 027 027.S 028 501.XP 501.XP.S 502.XP 502.XP.S
5.4 38 001 002 003 004 005.MI 005.MI.SA 007.MI 007.MI.SA 009.MI 009.MI.SA 010 011.MI 011.MI.SA 012 013.MI 013.MI.SA 014.MI 014.MI.SA 015 016 017 018 019.MI 019.MI.SA 020 021 022 023 024 025 026 027 028 029 030 031 032 033
Chapter 6: Normal Curves and Sampling Distributions
6.CE 4 001.CV 001.SIP 002.CV 003.CV
6.CQ 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
6.CR 19 001 002 003 004 005 006 007 007.S 008 009 010 010.S 011 011.S 012 013 013.S 014 015
6.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
6.R 37 001 002 003 004 005 006 009 010 011 011.S 012 012.S 013 013.S 014 014.S 015 015.S 016 016.S 017 017.S 018 018.S 019 019.S 020 021 021.S 022 022.S 023 023.S 024 024.S 501.XP 501.XP.S
6.TB 180 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181
6.1 19 001 002.MI 002.MI.SA 003 004 005 006 007 008.MI 008.MI.SA 009 010.MI 010.MI.SA 011 012 013 014 015 018
6.2 100 ST.001.S ST.002.S 001 002 003 004 005.MI 005.MI.SA 007 008 009.MI 009.MI.SA 010 011 012 013 013.S 014 014.S 015.MI 015.MI.S 015.MI.SA 016 016.S 017.MI 017.MI.S 017.MI.SA 018 018.S 019.MI 019.MI.S 019.MI.SA 020 020.S 021 021.S 022 022.S 023 023.S 024 024.S 025.MI 025.MI.S 025.MI.SA 026 026.S 027.MI 027.MI.S 027.MI.SA 028 028.S 029 029.S 030 030.S 031 031.S 032 033.MI 033.MI.S 033.MI.SA 034 034.S 035.MI 035.MI.S 035.MI.SA 036 036.S 037.MI 037.MI.S 037.MI.SA 038 038.S 039 039.S 040 040.S 041.MI 041.MI.S 041.MI.SA 042 042.S 043 043.S 044 044.S 045 045.S 046 046.S 047.MI 047.MI.S 047.MI.SA 048 048.S 049 049.S 050 050.S
6.3 90 SYS.001.S SYS.002.S 001 001.S 002 003 004 005.MI 005.MI.S 005.MI.SA 006.MI 006.MI.S 006.MI.SA 007 007.S 008 008.S 009 009.S 010 010.S 011.MI 011.MI.S 011.MI.SA 012 012.S 013 013.S 014 014.S 015.MI 015.MI.S 015.MI.SA 016 016.S 017 017.S 018.MI 018.MI.S 018.MI.SA 019.MI 019.MI.S 019.MI.SA 020.MI 020.MI.S 020.MI.SA 021 021.S 022 022.S 023 023.S 024.MI 024.MI.S 024.MI.SA 025 025.S 026 026.S 027 027.S 028.MI 028.MI.S 028.MI.SA 029 029.S 030.MI 030.MI.S 030.MI.SA 031 031.S 032 032.S 033 033.S 034 034.S 035 035.S 036.MI 036.MI.S 036.MI.SA 037 037.S 038 038.S 039 039.S 040 040.S
6.4 9 001 002 003 004 005 006 007 008 009
6.5 42 001 002 003 004 006.MI 006.MI.S 006.MI.SA 007 008.MI 008.MI.S 008.MI.SA 009 010.MI 010.MI.SA 011 011.S 012.MI 012.MI.S 012.MI.SA 013 013.S 014 014.S 015 015.S 016 016.S 017 017.S 018.MI 018.MI.S 018.MI.SA 019 019.S 020 020.S 021 021.S 022 022.S 023 023.S
6.6 32 001 002 005 006.MI 006.MI.S 006.MI.SA 007 007.S 008 008.S 009.MI 009.MI.S 009.MI.SA 010 010.S 011 011.S 012 012.S 013.MI 013.MI.S 013.MI.SA 014 014.S 015.MI 015.MI.S 015.MI.SA 016 017 018 019 020
Chapter 7: Estimation
7.CE 5 001.CV 001.SIP 002.CV 003.CV 501.XP.SIP
7.CQ 18 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
7.JMP 13 001 002 003 004 005 006 007 008 009 010 011 012 013
7.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
7.R 31 001 002 003 004 005 006 006.S 007 007.S 008 008.S 009 009.S 010 010.S 011 011.S 012 012.S 013 013.S 014 015 015.S 016 016.S 017 017.S 018 018.S 019
7.TB 30 004 011 012 013 014 023 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048
7.1 31 001 002 003 004 005 006 007 008 009 010 015 015.EP 015.FB 015.MI 015.MI.SA 016.MI 016.MI.SA 017 017.EP 017.FB 017.MI 017.MI.SA 018.MI 018.MI.SA 019.MI 019.MI.SA 022.MI 022.MI.SA 023 024 025
7.2 56 ST.001.S SYS.001.S 001.EP 001.EP.S 001.FB 001.FB.S 001.MI 001.MI.S 001.MI.SA 002.MI 002.MI.S 002.MI.SA 003 003.S 004 004.S 005 006 007 007.S 008 008.S 009 009.S 010 010.S 013 013.EP 013.EP.S 013.FB 013.FB.S 013.MI 013.MI.S 013.MI.SA 013.S 014.MI 014.MI.S 014.MI.SA 015 015.S 016 016.S 017.MI 017.MI.S 017.MI.SA 018.MI 018.MI.S 018.MI.SA 019 020 020.S 021 021.S 022 022.S 023
7.3 68 001 002 003 004 009.MI 009.MI.S 009.MI.SA 011 011.EP 011.EP.S 011.FB 011.FB.S 011.MI 011.MI.S 011.MI.SA 011.S 012.MI 012.MI.S 012.MI.SA 013 013.EP 013.EP.S 013.FB 013.FB.S 013.MI 013.MI.S 013.MI.SA 013.S 014 014.S 015 015.S 016 016.S 017 017.S 018 018.S 019.MI 019.MI.S 019.MI.SA 020 020.S 021 021.S 022.MI 022.MI.SA 023.EP 023.EP.S 023.FB 023.FB.S 023.MI 023.MI.S 023.MI.SA 024 024.S 025 025.EP 025.EP.S 025.FB 025.FB.S 025.MI 025.MI.S 025.MI.SA 025.S 026 026.S 027
7.4 44 ST.001.S SYS.001.S 001 002 003 003.S 004 005 006 011 011.S 012.MI 012.MI.S 012.MI.SA 013 013.S 014 014.S 015 015.S 016.MI 016.MI.S 016.MI.SA 017 017.S 018 018.S 019 020.MI 020.MI.SA 021 021.S 022 022.S 023 023.S 024 024.S 025 025.S 026.MI 026.MI.S 026.MI.SA 027
Chapter 8: Hypothesis Testing
8.CE 5 001.CV 001.SIP 002.CV 003.CV 004.CV
8.CQ 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
8.JMP 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022
8.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
8.R 30 001 002 003 004 005 006 006.S 007 007.S 008 008.S 009 009.S 010 010.S 011 012 012.S 013 013.S 014 014.S 015 015.S 016 016.S 017 017.S 018 018.S
8.TB 240 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242
8.1 18 001 002 003 004 011.MI 011.MI.SA 015.MI 015.MI.SA 016 017 018 019 020.MI 020.MI.SA 021 022 023 024
8.2 52 ST.001.S SYS.001.S 001 002 003 004 005 006 007.MI 007.MI.S 007.MI.SA 009 009.S 011 012.MI 012.MI.S 012.MI.SA 013 013.S 014.MI 014.MI.S 014.MI.SA 015 015.S 016.MI 016.MI.S 016.MI.SA 017 017.S 018.MI 018.MI.S 018.MI.SA 019 019.S 020 020.S 021 021.S 022 022.S 023 024 025 026 027 028 028.S 029.MI 029.MI.S 029.MI.SA 030 030.S
8.3 49 ST.001.S SYS.001.S 001 002 003 004 005.MI 005.MI.S 005.MI.SA 007 007.S 008 008.S 009 009.S 010.MI 010.MI.S 010.MI.SA 011.MI 011.MI.S 011.MI.SA 012 012.S 013 013.S 014.MI 014.MI.S 014.MI.SA 015 015.S 016.MI 016.MI.S 016.MI.SA 017 017.S 018 018.S 019 019.S 020 020.S 021 021.S 022 022.S 023 023.S 024 024.S
8.4 45 001 002 003 004 005 006 007.MI 007.MI.S 007.MI.SA 009.MI 009.MI.S 009.MI.SA 010 010.S 011 011.S 012.MI 012.MI.S 012.MI.SA 013.MI 013.MI.S 013.MI.SA 014 014.S 015 015.S 016 016.S 017 017.S 018 018.S 019 019.S 020 020.S 021 021.S 022.MI 022.MI.S 022.MI.SA 023 023.S 024 024.S
8.5 61 ST.001.S SYS.001.S 001 002 003 005 006 007 008 009.MI 009.MI.S 009.MI.SA 011 013.MI 013.MI.S 013.MI.SA 015 016.MI 016.MI.SA 017 018 019.MI 019.MI.S 019.MI.SA 020 020.S 021 021.S 022 022.S 023.MI 023.MI.S 023.MI.SA 024 024.S 025 025.S 026 026.S 027 028 028.S 029 029.S 030 030.S 031 031.S 032 032.S 033 033.S 034.MI 034.MI.S 034.MI.SA 035.MI 035.MI.S 035.MI.SA 036 037 037.S
Chapter 9: Correlation and Regression
9.CE 4 001.CV 001.SIP 002.CV 003.CV
9.CQ 18 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
9.CR 14 001 002 002.S 003 003.S 004 004.S 005 005.S 006 006.S 007 008 009
9.JMP 8 001 002 003 004 005 006 007 008
9.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
9.R 11 001 002 003 004 005 006 006.S 007 008 009 010
9.TB 114 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114
9.1 34 001 002 003 004 005 006 007 008 009 010 013.MI 013.MI.S 013.MI.SA 014 014.S 015.MI 015.MI.S 015.MI.SA 016 016.S 017 017.S 018.MI 018.MI.S 018.MI.SA 019 020 020.S 021 021.S 022 023 023.S 024
9.2 48 001.MI 001.MI.SA 002.MI 002.MI.SA 003 004 005.MI 005.MI.SA 006 007.MI 007.MI.S 007.MI.SA 008 008.S 009.MI 009.MI.S 009.MI.SA 010 010.S 011 011.S 012 012.S 013 013.S 014 014.S 015 015.S 016 016.S 017 017.S 018 018.S 019 020 020.S 021 021.S 022 022.S 023 023.S 024 024.S 025 025.S
9.3 24 001 002 003 004 005 006 007.MI 007.MI.SA 008 009 010 011 012 013.MI 013.MI.S 013.MI.SA 014 015.MI 015.MI.S 015.MI.SA 016 017 501.XP 502.XP
9.4 7 001 002.MI 002.MI.SA 003 004 005 006
Chapter 10: Chi-Square and F Distributions
10.CE 3 001.CV 001.SIP 002.CV
10.CQ 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
10.JMP 12 001 002 003 004 005 006 007 008 009 010 011 012
10.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
10.R 16 001 002 003 004 005.NS 005.S 006 006.S 007.NS 007.S 008.NS 008.S 009 010.NS 010.S 011 011.S 012.NS 012.S 013.NS 013.S 014
10.TB 84 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086
10.1 27 001 002 003 004 009 009.S 010 010.S 011 011.S 012.MI 012.MI.S 012.MI.SA 013 013.S 014 014.S 015.MI 015.MI.S 015.MI.SA 016 016.S 017 017.S 018.MI 018.MI.SA 019
10.2 33 001 002 003 004 005 005.S 006.MI 006.MI.S 006.MI.SA 007 007.S 008 008.S 009 009.S 010.MI 010.MI.S 010.MI.SA 011.MI 011.MI.S 011.MI.SA 012 012.S 013 013.S 014 014.S 015 015.S 016 016.S 017 018
10.3 12 001 002 003 004 005 006 007.MI 007.MI.SA 008 009 010 011
10.4 13 001 002 003 004 005 006 007 008 009 010 011.MI 011.MI.SA 012
10.5 10 001.NS 001.S 002.NS 002.S 003.NS 003.S 004.NS 004.S 005.NS 005.S 006.NS 006.S 007.MI.NS 007.MI.S 007.MI.SA 008.NS 008.S 009.NS 009.S
10.6 8 001 002 003 003.S 004 005 006 007
Chapter 11: Nonparametric Statistics
11.CE 2 001.CV 001.SIP
11.CQ 6 001 002 003 004 005 006
11.CR 7 001 002 003 004 005 006 007
11.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
11.R 10 001 002 003 004 005 006 007 008 009 010
11.TB 1 001
11.1 15 001 002 003.MI 003.MI.SA 004 005 006.MI 006.MI.SA 007.MI 007.MI.SA 008 009 010 011 012
11.2 13 001 002 003.MI 003.MI.SA 004 005.MI 005.MI.SA 006 007 008 009 010 011
11.3 13 001 002 003.MI 003.MI.SA 004 005 006 007.MI 007.MI.SA 008 009 010 011
11.4 14 001 002 003.MI 003.MI.SA 004 005 006 007.MI 007.MI.SA 008 009 010 011 012
Total 2932 (15)