# Understanding Basic Statistics 8th edition

Charles Henry Brase and Corrinne Pellillo Brase
Publisher: Cengage Learning

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• Brase Understanding Basic Statistics 8
• Brase Understanding Basic Statistics 8: Stats in Practice Video Questions
• Brase Understanding Basic Statistics 8e: Labs - TI Calculators
• Brase Understanding Basic Statistics 8e: Labs - Excel
• Brase Understanding Basic Statistics 8e: Labs - JMP
• Brase Understanding Basic Statistics 8e: Labs - Minitab
• Brase Understanding Basic Statistics 8e: Labs - SPSS
• Brase Understanding Basic Statistics 8e: Labs - R
• Brase Understanding Basic Statistics 8e: Project Milestones

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• Chapter 1: Getting Started
• 1: Stats in Practice Video Question (1)
• 1.1: What Is Statistics? (13)
• 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: Stats in Practice Video Question (1)
• 2.1: Frequency Distributions, Histograms, and Related Topics (26)
• 2.2: Bar Graphs, Circle Graphs, and Time-Series Graphs (11)
• 2.3: Stem-and-Leaf Displays (12)
• 2: Chapter Review Problems (10)
• 2: JMP Simulations (3)
• 2: Concept Questions (10)
• 2: Labs (5)
• 2: Test Bank (74)

• Chapter 3: Averages and Variation
• 3: Stats in Practice Video Question (1)
• 3.1: Measures of Central Tendency: Mode, Median, and Mean (30)
• 3.2: Measures of Variation (33)
• 3.3: Percentiles and Box-and-Whisker Plots (13)
• 3: Chapter Review Problems (11)
• 3: Cumulative Review Problems (18)
• 3: JMP Simulations (2)
• 3: Concept Questions (10)
• 3: Labs (6)
• 3: Test Bank (91)

• Chapter 4: Correlation and Regression
• 4: Stats in Practice Video Question (1)
• 4.1: Scatter Diagrams and Linear Correlation (24)
• 4.2: Linear Regression and the Coefficient of Determination (28)
• 4: Chapter Review Problems (10)
• 4: JMP Simulations (8)
• 4: Concept Questions (8)
• 4: Labs (6)
• 4: Test Bank (62)

• Chapter 5: Elementary Probability Theory
• 5: Stats in Practice Video Question (1)
• 5.1: What Is Probability? (21)
• 5.2: Some Probability Rules—Compound Events (39)
• 5.3: Trees and Counting Techniques (35)
• 5: Chapter Review Problems (16)
• 5: Concept Questions (8)
• 5: Labs (5)

• Chapter 6: The Binomial Probability Distribution and Related Topics
• 6: Stats in Practice Video Question (1)
• 6.1: Introduction to Random Variables and Probability Distributions (23)
• 6.2: Binomial Probabilities (29)
• 6.3: Additional Properties of the Binomial Distribution (26)
• 6: Chapter Review Problems (13)
• 6: Cumulative Review Problems (7)
• 6: Concept Questions (16)
• 6: Labs (5)
• 6: Test Bank (37)

• Chapter 7: Normal Curves and Sampling Distributions
• 7: Stats in Practice Video Question (1)
• 7.1: Graphs of Normal Probability Distributions (13)
• 7.2: Standard Units and Areas Under the Standard Normal Distribution (59)
• 7.3: Areas Under Any Normal Curve (48)
• 7.4: Sampling Distributions (9)
• 7.5: The Central Limit Theorem (24)
• 7.6: Normal Approximation to Binomial Distribution and to Distribution (22)
• 7: Chapter Review Problems (20)
• 7: Concept Questions (14)
• 7: Labs (5)
• 7: Test Bank (181)

• Chapter 8: Estimation
• 8: Stats in Practice Video Question (2)
• 8.1: Estimating μ When σ Is Known (28)
• 8.2: Estimating μ When σ Is Unknown (27)
• 8.3: Estimating p in the Binomial Distribution (39)
• 8: Chapter Review Problems (13)
• 8: JMP Simulations (5)
• 8: Concept Questions (12)
• 8: Labs (6)
• 8: Test Bank (48)

• Chapter 9: Hypothesis Testing
• 9: Stats in Practice Video Questions (2)
• 9.1: Introduction to Statistical Tests (17)
• 9.2: Testing the Mean μ (29)
• 9.3: Testing a Proportion p (24)
• 9: Chapter Review Problems (13)
• 9: Cumulative Review Problems (9)
• 9: JMP Simulations (10)
• 9: Concept Questions (14)
• 9: Labs (6)
• 9: Test Bank (128)

• Chapter 10: Inferences About Differences
• 10: Stats in Practice Video Question (1)
• 10.1: Tests Involving Paired Differences (Dependent Samples) (20)
• 10.2: Inferences about the Difference of Two Means μ1μ2 (25)
• 10.3: Inferences about the Difference of Two Proportions p1p2 (19)
• 10: Chapter Review Problems (10)
• 10: JMP Simulations (8)
• 10: Concept Questions (6)
• 10: Labs (6)
• 10: Test Bank (36)

• Chapter 11: Additional Topics Using Inference
• 11: Stats in Practice Video Question (1)
• 11.1: Chi-Square: Tests of Independence and of Homogeneity (16)
• 11.2: Chi-Square: Goodness of Fit (17)
• 11.3: Testing a Single Variance or Standard Deviation (12)
• 11.4: Inferences for Correlation and Regression (18)
• 11: Chapter Review Problems (11)
• 11: JMP Simulations (4)
• 11: Concept Questions (12)
• 11: Labs (6)
• 11: Test Bank (53)

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

In Understanding Basic Statistics, 8th Edition, students see the real-world significance of statistics and engage with features, such as the Brase's Guided Exercises, that help them dive into the world of statistics step-by-step. The use of the graphing calculator, Microsoft® Excel®, MINITAB®, MINITAB EXPRESS®, and SPSS® is covered, but not required. Help students overcome their apprehension about statistics and master the subject with Brase/Brase's Understanding Basic Statistics. A condensed and more streamlined version of the authors' best-selling Understanding Basic Statistics, 12th Edition, this resource offers instructors an effective way to teach the essentials of statistics, including early coverage of regression, within a more limited timeframe. The WebAssign component for this text engages students with an interactive eBook and several other resources.

• New MindTap Reader eBook now supported by HTML5 (non-flashed based) includes embedded media assets for a more integrated study experience
• New WebAssign Student User Experience that empowers learning at all levels with an upgraded, modern student interface

### 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 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.

### Tools to Explore Real Data with Technology

• 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

##### 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.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 10 007 008 009 010 011 012 013 014 015 017
1.SIP 1 001
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 13 001 002 003 004 005 008 009 010 011 012 013 014 015
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.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 10 007 008 009 010 011 012 014 015 016 017
2.SIP 1 001
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 26 001 002 003 004 005.MI 005.MI.SA 007 009 010 011.MI 011.MI.SA 013.MI 013.MI.SA 014 015 016 017 018 019.MI 019.MI.SA 020 021 022 023 024 025
2.2 11 003 004 005 007 008 010 011 012 013 014 015
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.CQ 10 001 002 003 004 005 006 007 008 009 010
3.CR 18 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018
3.JMP 2 001 002
3.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
3.R 11 009 010 011 012 013 014 015 016 017 018 019
3.SIP 1 001
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 30 001 002 005.MI 005.MI.SA 007.MI 007.MI.SA 009 011 012 013 014.MI 014.MI.SA 016.MI 016.MI.SA 017 018 019 020.MI 020.MI.SA 021 022 023 024.MI 024.MI.SA 026.MI 026.MI.SA 027 028 029 030
3.2 33 001 002 003 004 005.MI 005.MI.SA 009 010 011 012 013.MI 013.MI.SA 014.MI 014.MI.SA 015.MI 015.MI.SA 016 017 018 019 020 021.MI 021.MI.SA 022 023 024 025.MI 025.MI.SA 026 027 028 029 030
3.3 13 001 002 003 004 005.MI 005.MI.SA 007.MI 007.MI.SA 008 009 010 011 012
Chapter 4: Correlation and Regression
4.CQ 8 001 002 003 004 005 006 007 008
4.JMP 8 001 002 003 004 005 006 007 008
4.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
4.R 10 005 007 008 009 010 011 012 013 014 501.XP
4.SIP 1 001
4.TB 62 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062
4.1 24 001 002 003 004 005 006 007 008 009 010 013.MI 013.MI.SA 014 015.MI 015.MI.SA 016 017 018 019 020 021 022 023 501.XP
4.2 28 001.MI 001.MI.SA 002.MI 002.MI.SA 003 004 005.MI 005.MI.SA 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 5: Elementary Probability Theory
5.CQ 8 001 002 003 004 005 006 007 008
5.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
5.R 16 005 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
5.SIP 1 001
5.1 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
5.2 39 001 002 003.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.MI 028.MI.SA 029 030 031 501.XP 502.XP 503.XP 504.XP 505.XP
5.3 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 6: The Binomial Probability Distribution and Related Topics
6.CQ 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
6.CR 7 001 002 003 004 005 006 007
6.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
6.R 13 005 006 007 008 009 010 011 012 013 014 015 016 017
6.SIP 1 001
6.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
6.1 23 001 002 003 005 006 007.MI 007.MI.SA 009 010 011 012 013.MI 013.MI.SA 014 015.MI 015.MI.SA 016 017 018 019.MI 019.MI.SA 020 021
6.2 29 001 002 003 004 007 008 009 010 011.MI 011.MI.SA 015 016 017.MI 017.MI.SA 018 019.MI 019.MI.SA 020 021 022 023.MI 023.MI.SA 024 025 026 027 501.XP 502.XP 503.XP
6.3 26 001 002 005 006 007 008 009 011 012.MI 012.MI.SA 013 014 015.MI 015.MI.SA 016 017 018 019 020.MI 020.MI.SA 021 022 023 024 025.MI 025.MI.SA
Chapter 7: Normal Curves and Sampling Distributions
7.CQ 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
7.Lab 5 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS
7.R 20 005 006 008 009 010 013 014 015 016 017 018 019 020 021 022 023 024 025 026 501.XP
7.SIP 1 001
7.TB 181 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181
7.1 13 001 002.MI 002.MI.SA 003 004 005 006 007 008.MI 008.MI.SA 009 010 011
7.2 59 001 002 003 004 005.MI 005.MI.SA 007 008 009 010 011 012 013 014 015.MI 015.MI.SA 016 017.MI 017.MI.SA 018 019.MI 019.MI.SA 020 021 022 023 024 025.MI 025.MI.SA 026 027.MI 027.MI.SA 028 029 030 031 032 033.MI 033.MI.SA 034 035 036 037.MI 037.MI.SA 038 039 040 041.MI 041.MI.SA 042 043 044 045 046 047.MI 047.MI.SA 048 049 050
7.3 48 001 002 003 004 005.MI 005.MI.SA 006 007 008 009 010 011.MI 011.MI.SA 012 013 014 015.MI 015.MI.SA 016 017 018.MI 018.MI.SA 019.MI 019.MI.SA 020 021 022 023 024.MI 024.MI.SA 025 026 027 028.MI 028.MI.SA 029 030.MI 030.MI.SA 031 032 033 034 035 501.XP 502.XP 503.XP 504.XP 505.XP
7.4 9 001 002 003 004 005 006 007 008 009
7.5 24 001 002 003 004 006.MI 006.MI.SA 007 008 009 010.MI 010.MI.SA 011 012 013 014 015 016 017 018 019 020 501.XP 502.XP 503.XP
7.6 22 001 002 005 006.MI 006.MI.SA 007 008 009.MI 009.MI.SA 010 011 012 013.MI 013.MI.SA 014 015.MI 015.MI.SA 016 017 018 019 020
Chapter 8: Estimation
8.CQ 12 001 002 003 004 005 006 007 008 009 010 011 012
8.JMP 5 001 002 003 004 005
8.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
8.R 13 005 006 007 008 009 010 011 012 013 014 015 016 017
8.SIP 2 001 501.XP
8.TB 48 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048
8.1 28 001 002 003 004 005 006 007 008 009 010 015 015.EP 015.FB 015.MI 015.MI.SA 016 017 017.EP 017.FB 017.MI 017.MI.SA 018.MI 018.MI.SA 019 022 023 024 025
8.2 27 001.EP 001.FB 001.MI 001.MI.SA 002 003 004 005 006 007 008 009 010 013.EP 013.FB 013.MI 013.MI.SA 014 015 016 017 018 019 020 021 022 023
8.3 39 001 002 003 004 009.MI 009.MI.SA 011 011.EP 011.FB 011.MI 011.MI.SA 012 013 013.EP 013.FB 013.MI 013.MI.SA 014 015 016 017 018 019 020 021 022.MI 022.MI.SA 023.EP 023.FB 023.MI 023.MI.SA 024 025 025.EP 025.FB 025.MI 025.MI.SA 026 027
Chapter 9: Hypothesis Testing
9.CQ 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
9.CR 9 003 004 006 007 008 009 010 011 012
9.JMP 10 001 002 003 004 005 006 007 008 009 010
9.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
9.R 13 003 004 005 006 007 008 009 010 011 012 013 014 501.XP
9.SIP 2 001 002
9.TB 128 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128
9.1 17 001 002 003 004 011.MI 011.MI.SA 015.MI 015.MI.SA 016 017 018 019 020 021 022 023 024
9.2 29 001 002 003 004 005 006 007.MI 007.MI.SA 009 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030
9.3 24 001 002 003 004 005.MI 005.MI.SA 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
10.CQ 6 001 002 003 004 005 006
10.JMP 8 001 002 003 004 005 006 007 008
10.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
10.R 10 001 002 003 004 005 006 007 008 009 010
10.SIP 1 001
10.TB 36 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036
10.1 20 001 002 003 004 005 006 007.MI 007.MI.SA 009 010 011 012 013 014 015 016 017 018 019 020
10.2 25 001 002 003 004 005 006 007.MI 007.MI.SA 009 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
10.3 19 001 002 003 004 005 007 008 009 010 011 012 013 014 017 018 019 020 021 022
Chapter 11: Additional Topics Using Inference
11.CQ 12 001 002 003 004 005 006 007 008 009 010 011 012
11.JMP 4 001 002 003 004
11.Lab 6 001.Excel 001.JMP 001.Minitab 001.R 001.SPSS 001.TI
11.R 11 003 004 005 006 007 008 009 010 011 014 015
11.SIP 1 001
11.TB 53 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053
11.1 16 001 002 003 004 009 010 011 012 013 014 015.MI 015.MI.SA 016 017 018 019
11.2 17 001 002 003 004 005 006 007 008 009 010.MI 010.MI.SA 011 012 013 014 015 016
11.3 12 001 002 003 004 005 006 007.MI 007.MI.SA 008 009 010 011
11.4 18 001 002 003 004 005 006 007.MI 007.MI.SA 008 009 010 011 012 013 014 015 016 017
Total 2006