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Statistics for Business and Economics (EMEA Version) 6th edition

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David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, James Freeman, Eddie Shoesmith, and Michael J. Fry
Publisher: Cengage Learning

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  • Anderson Statistics for Business and Economics (EMEA) 6e - Homework and Quizzes

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

  • Chapter 1: Data and Statistics
    • 1.1: Applications in Business and Economics
    • 1.2: Data
    • 1.3: Data Sources
    • 1.4: Descriptive Statistics
    • 1.5: Statistical Inference
    • 1.6: Analytics
    • 1.7: Big Data and Data Mining
    • 1.8: Computers and Statistical Analysis (13)
    • 1.9: Ethical Guidelines for Statistical Practice
    • 1: Exercises
    • 1: Case Problems
    • 1: Extra Problems (17)

  • Chapter 2: Descriptive Statistics: Tabular and Graphical Presentations
    • 2.1: Summarizing Categorical Data (8)
    • 2.2: Summarizing Quantitative Data (12)
    • 2.3: Summarizing Relationships Between Two Categorical Variables (4)
    • 2.4: Summarizing Relationships Between Two Quantitative Variables (3)
    • 2.5: Data Visualization: Best Practices in Creating Effective Graphical Displays
    • 2: Case Problems (7)
    • 2: Extra Problems (50)
    • 2: Exploring Statistics Applet Exercises (2)

  • Chapter 3: Descriptive Statistics: Numerical Measures
    • 3.1: Measures of Location (10)
    • 3.2: Measures of Variability (5)
    • 3.3: Measures of Distributional Shape, Relative Location, and Detecting Outliers (7)
    • 3.4: Exploratory Data Analysis (8)
    • 3.5: Measures of Association Between Two Variables (5)
    • 3.6: Data Dashboards: Adding Numerical Measures To Improve Effectiveness
    • 3: Case Problems (6)
    • 3: Extra Problems (42)
    • 3: Exploring Statistics Applet Exercises (2)

  • Chapter 4: Introduction to Probability
    • 4.1: Experiments, Counting Rules and Assigning Probabilities (9)
    • 4.2: Events and Their Probabilities (4)
    • 4.3: Some Basic Relationships of Probability (3)
    • 4.4: Conditional Probability (5)
    • 4.5: Bayes' Theorem (5)
    • 4: Case Problems (3)
    • 4: Extra Problems (43)
    • 4: Exploring Statistics Applet Exercises (2)

  • Chapter 5: Discrete Probability Distributions
    • 5.1: Random Variables (6)
    • 5.2: Discrete Probability Distributions (5)
    • 5.3: Expected Value and Variance (7)
    • 5.4: Bivariate Distributions, Covariance and Financial Portfolios (4)
    • 5.5: Binomial Probability Distribution (2)
    • 5.6: Poisson Probability Distribution (3)
    • 5.7: Hypergeometric Probability Distribution (3)
    • 5: Case Problems (3)
    • 5: Extra Problems (45)
    • 5: Exploring Statistics Applet Exercises (1)

  • Chapter 6: Continuous Probability Distributions
    • 6.1: Uniform Probability Distribution (5)
    • 6.2: Normal Probability Distribution (9)
    • 6.3: Normal Approximation of Binomial Probabilities (2)
    • 6.4: Exponential Probability Distribution (4)
    • 6: Case Problems (3)
    • 6: Extra Problems (31)
    • 6: Exploring Statistics Applet Exercises (3)

  • Chapter 7: Sampling and Sampling Distributions
    • 7.1: The EAI Sampling Problem
    • 7.2: Simple Random Sampling (6)
    • 7.3: Point Estimation (5)
    • 7.4: Introduction to Sampling Distributions
    • 7.5: Sampling Distribution of X̄ (8)
    • 7.6: Sampling Distribution of P (7)
    • 7.7: Big Data and Standard Errors of Sampling Distributions (1)
    • 7: Case Problems (1)
    • 7: Extra Problems (25)

  • Chapter 8: Interval Estimation
    • 8.1: Population Mean: σ Known (8)
    • 8.2: Population Mean: σ Unknown (11)
    • 8.3: Determining the Sample Size (6)
    • 8.4: Population Proportion (8)
    • 8.5: Big Data and Confidence Intervals
    • 8: Case Problems (5)
    • 8: Extra Problems (37)
    • 8: Exploring Statistics Applet Exercises (9)

  • Chapter 9: Hypothesis Tests
    • 9.1: Testing a Population Mean with σ Known: One-Tailed Test
    • 9.2: Testing a Population Mean with σ Known: Two-Tailed Test (6)
    • 9.3: Further Discussion of Hypothesis-Testing Fundamentals (5)
    • 9.4: Population Mean With σ Unknown (6)
    • 9.5: Population Proportion (9)
    • 9.6: Type II Errors and Power (7)
    • 9.7: Big Data and Hypothesis Testing
    • 9: Case Problems (5)
    • 9: Extra Problems (47)
    • 9: Exploring Statistics Applet Exercises (1)

  • Chapter 10: Statistical Inference About Means and Proportions with Two Populations
    • 10.1: Inferences About the Difference Between Two Population Means: σ1 and σ2 Known (7)
    • 10.2: Inferences About the Difference Between Two Population Means: σ1 and σ2 Unknown (8)
    • 10.3: Inferences About the Difference Between Two Population Means: Matched Samples (6)
    • 10.4: Inferences About the Difference Between Two Population Proportions (7)
    • 10: Case Problems (2)
    • 10: Extra Problems (32)
    • 10: Exploring Statistics Applet Exercises (2)

  • Chapter 11: Inferences About Population Variances
    • 11.1: Inferences About a Population Variance (10)
    • 11.2: Inferences Comparing Two Population Variances (11)
    • 11: Case Problems (8)
    • 11: Extra Problems (27)
    • 11: Exploring Statistics Applet Exercises (2)

  • Chapter 12: Tests of Goodness of Fit and Independence
    • 12.1: Goodness of Fit Test: A Multinomial Population (3)
    • 12.2: Goodness of Fit Test: Poisson and Normal Distributions (3)
    • 12.3: Test of Independence (5)
    • 12: Case Problems (3)
    • 12: Extra Problems (22)
    • 12: Exploring Statistics Applet Exercises (1)

  • Chapter 13: Experimental Design and Analysis of Variance
    • 13.1: An Introduction to Experimental Design and Analysis of Variance
    • 13.2: Analysis of Variance and the Completely Randomized Design (10)
    • 13.3: Multiple Comparison Procedures (6)
    • 13.4: Randomized Block Design (5)
    • 13.5: Factorial Experiment (5)
    • 13: Case Problems (8)
    • 13: Extra Problems (48)
    • 13: Exploring Statistics Applet Exercises (2)

  • Chapter 14: Simple Linear Regression
    • 14.1: Simple Linear Regression Model
    • 14.2: Least Squares Method (6)
    • 14.3: Coefficient of Determination (3)
    • 14.4: Model Assumptions
    • 14.5: Testing for Significance (4)
    • 14.6: Using the Estimated Regression Equation for Estimation and Prediction (3)
    • 14.7: Computer Solution (5)
    • 14.8: Residual Analysis: Validating Model Assumptions
    • 14.9: Residual Analysis: Autocorrelation (2)
    • 14.10: Residual Analysis: Outliers and Influential Observations (2)
    • 14.11: Practical Advice: Big Data and Hypothesis Testing in Simple Linear Regression
    • 14: Case Problems (7)
    • 14: Extra Problems (50)
    • 14: Exploring Statistics Applet Exercises (6)

  • Chapter 15: Multiple Regression
    • 15.1: Multiple Regression Model
    • 15.2: Least Squares Method (6)
    • 15.3: Multiple Coefficient of Determination (7)
    • 15.4: Model Assumptions
    • 15.5: Testing for Significance (6)
    • 15.6: Using the Estimated Regression Equation for Estimation and Prediction (3)
    • 15.7: Categorical Independent Variables (8)
    • 15.8: Residual Analysis (2)
    • 15.9: Logistic Regression (5)
    • 15.10: Practical Advice: Big Data and Hypothesis Testing in Multiple Regression
    • 15: Case Problems (2)
    • 15: Extra Problems (34)

  • Chapter 16: Regression Analysis: Model Building
    • 16.1: General Linear Model (7)
    • 16.2: Determining When to Add or Delete Variables (6)
    • 16.3: Analysis of a Larger Problem (1)
    • 16: Case Problems (1)
    • 16: Extra Problems (15)
    • 16: Exploring Statistics Applet Exercises (1)

  • Chapter 17: Time Series Analysis and Forecasting
    • 17.1: Time Series Patterns
    • 17.2: Forecast Accuracy (5)
    • 17.3: Moving Averages and Exponential Smoothing (12)
    • 17.4: Trend Projection (5)
    • 17.5: Seasonality and Trend (6)
    • 17.6: Time Series Decomposition (5)
    • 17: Case Problems (4)
    • 17: Extra Problems (48)
    • 17: Exploring Statistics Applet Exercises (3)

  • Chapter 18: Non-Parametric Methods
    • 18.1: Sign Test (4)
    • 18.2: Wilcoxon Signed-Rank Test (3)
    • 18.3: Mann–Whitney–Wilcoxon Test (5)
    • 18.4: Kruskal–Wallis Test (4)
    • 18.5: Rank Correlation (4)
    • 18: Case Problems (2)
    • 18: Extra Problems (33)

  • Chapter 19: Index Numbers
    • 19.1: Price Relatives
    • 19.2: Aggregate Price Index Numbers (4)
    • 19.3: Computing an Aggregate Price Index from Price Relatives (4)
    • 19.4: Some Important Price Index Numbers
    • 19.5: Deflating a Series Using a Price Index Number
    • 19.6: Price Index Numbers: Other Considerations
    • 19.7: Quantity Index Numbers (2)
    • 19: Case Problems
    • 19: Extra Problems (11)

  • Chapter 20: Statistical Methods for Quality Control
    • 20.1: Philosophies and Frameworks
    • 20.2: Statistical Process Control (4)
    • 20.3: Acceptance Sampling (4)
    • 20: Case Problems
    • 20: Extra Problems (9)
    • 20: Exploring Statistics Applet Exercises (2)

  • Chapter 21: Decision Analysis
    • 21.1: Problem Formulation
    • 21.2: Decision-Making with Probabilities (2)
    • 21.3: Decision Analysis with Sample Information (3)
    • 21.4: Computing Branch Probabilities Using Bayes' Theorem (2)
    • 21: Case Problems (2)
    • 21: Extra Problems (18)

  • Chapter 22: Sample Surveys
    • 22.1: Terminology Used in Sample Surveys
    • 22.2: Types of Surveys and Sampling Methods
    • 22.3: Survey Errors
    • 22.4: Simple Random Sampling (4)
    • 22.5: Stratified Random Sampling (6)
    • 22.6: Cluster Sampling (4)
    • 22.7: Systematic Sampling
    • 22: Case Problems (1)
    • 22: Extra Problems (11)

  • Chapter 13E: Additional Practice: 13th Edition
    • 13th Edition Chapter 1: Data and Statistics (9)
    • 13th Edition Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
    • 13th Edition Chapter 3: Descriptive Statistics: Numerical Measures (10)
    • 13th Edition Chapter 4: Introduction to Probability (8)
    • 13th Edition Chapter 5: Discrete Probability Distributions (6)
    • 13th Edition Chapter 6: Continuous Probability Distributions (9)
    • 13th Edition Chapter 7: Sampling and Sampling Distributions (1)
    • 13th Edition Chapter 8: Interval Estimation
    • 13th Edition Chapter 9: Hypothesis Tests (8)
    • 13th Edition Chapter 10: Inference About Means and Proportions with Two Populations (4)
    • 13th Edition Chapter 11: Inferences About Population Variances (7)
    • 13th Edition Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit (5)
    • 13th Edition Chapter 13: Experimental Design and Analysis of Variance (8)
    • 13th Edition Chapter 14: Simple Linear Regression (6)
    • 13th Edition Chapter 15: Multiple Regression (6)
    • 13th Edition Chapter 16: Regression Analysis: Model Building (3)
    • 13th Edition Chapter 17: Time Series Analysis and Forecasting (2)
    • 13th Edition Chapter 18: Nonparametric Methods (1)
    • 13th Edition Chapter 19: Statistical Methods for Quality Control
    • 13th Edition Chapter 20: Index Numbers (2)


Embrace the pulse of business decision-making with Statistics for Business and Economics, 6th edition. The authors translate their unrivalled expertise to meaningful applications that illustrate how statistical information impacts practical business decisions in an extensive range of real business examples, cases and hands-on exercises.

Inside, you will find:

  • Actionable methodologies: Master practical statistical tools, honed to perfection through years of real-world consulting and teaching.
  • Problem-solving scenarios: Learn by doing! Tackle engaging cases, like Netflix's data-driven success, and apply your skills to actual business challenges.
  • Data that breathes: Get ready to crunch the latest numbers from leading companies, presented with insight and advice.
  • Big data with big impact: New sections demystify big data and data visualization, equipping you to leverage the hottest trends in business statistics.
  • Microsoft Excel & R: Masterfully wield these powerful statistical tools with new, chapter-specific appendices.
WebAssign is your personalized learning hub: Access 90+ new questions and a wealth of interactive activities, engaging practice problems, labs, simulations and videos—everything you need to own your business statistics learning.

Statistics for Business and Economics, 6th edition is more than a textbook. It's your pivot to confident, data-driven decisions in today's dynamic business world.

Features:
  • Read It links under each question quickly jump to the corresponding section of the eBook.
  • Watch It links provide step-by-step instruction with short, engaging videos that are ideal for visual learners.
  • Master It Tutorials (MI) show how to solve a similar problem in multiple steps by providing direction along with derivation so students understand the concepts and reasoning behind the problem solving.
  • Exploring Statistics Applet (AQ) problems ask students to answer questions using linked interactive statistical applets.
  • All questions contain detailed solutions to the problem, available to students at your discretion.
  • Popular 13th edition exercises (13E) from the US version are still available for use.
  • PowerPoint Presentations, Figures and Tables, Solutions Manuals, Case Solutions, DATAfiles and Test Banks are available as textbook resources for instructors.

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
AQ - Exploring Statistics Applet
E - End of Section Exercise
13E - Previous Edition Exercise
XP - Extra Problem
CP - Case Problem


Question Availability Color Key
BLACK questions are available now
GRAY questions are under development


Group Quantity Questions
Chapter 1: Data and Statistics
1.E 13 001 002 003 004 004.alt 005 005.alt 007 009 010 011 012.MI 012.MI.SA
1.XP 17 001 002 003 005 006.MI 006.MI.SA 007 008 009 010.MI 010.MI.SA 011 012 013 014 015 016
Chapter 2: Descriptive Statistics: Tabular and Graphical Presentations
2.AQ 2 502 504
2.CP 7 001 003 501.XP 502.XP 503.XP 504.XP 504.XP.alt
2.E 27 001 002.MI 002.MI.SA 003.MI 003.MI.SA 004 005 005.alt 008 008.alt 009 010 011 012.MI 012.MI.SA 013.MI 013.MI.SA 014 014.alt 015 020 020.alt 022.MI 022.MI.SA 024.MI 024.MI.SA 024.alt
2.XP 50 001 002 003 004 005 006 006.alt 007 007.alt 008.MI 008.MI.SA 008.alt 009 009.alt 010 010.alt 011 011.alt 012.MI 012.MI.SA 012.alt 013 015 016 017 018 018.alt 019 020 020.alt 021.MI 021.MI.SA 021.alt 022 022.alt 023 023.alt 024 024.alt 025 026 026.alt 027 028 028.alt 029 030 031 032 035
Chapter 3: Descriptive Statistics: Numerical Measures
3.AQ 2 503 505
3.CP 6 001 001.alt 002 002.alt 501.XP 501.XP.alt
3.E 35 001 002 003 005.MI 005.MI.SA 006.MI 006.MI.SA 007 007.alt 012 013 014 015.MI 015.MI.SA 017 020 021 022 023 025.MI 025.MI.SA 026 028.MI 028.MI.SA 029 030 031 032.MI 032.MI.SA 033 035 036.MI 036.MI.SA 037 039
3.XP 42 001 002.MI 002.MI.SA 002.alt 003 004 005.MI 005.MI.SA 006 007 008 009 010 011 011.alt 012 012.alt 013 013.alt 014.alt 015 016 017.MI 017.MI.SA 018 019 020 022 023 023.alt 024 025.MI 025.MI.SA 026 026.alt 028 028.alt 029 030 031 032 032.alt
Chapter 4: Introduction to Probability
4.AQ 2 503B 503a
4.CP 3 501.XP 501.XP.alt 502.XP
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4.XP 43 001 002.MI 002.MI.SA 003.MI 003.MI.SA 003.alt 004 005 006.MI 006.MI.SA 007 008 009 010 011.MI 011.MI.SA 012 013 014 016 017.MI 017.MI.SA 018 019 020.MI 020.MI.SA 021 022 023.MI 023.MI.SA 024 025 026 027 028 029 030 031 032.MI 032.MI.SA 033 034 035
Chapter 5: Discrete Probability Distributions
5.AQ 1 505
5.CP 3 501.XP 502.XP 503.XP
5.E 30 001 002 003 004 005 006 007 008 009 010 012 013.MI 013.MI.SA 014 015 020 020.MI 020.MI.SA 021 022 023 024 025 026 032 033 036 037 038 039
5.XP 45 001.MI 001.MI.SA 002 003 004.MI 004.MI.SA 005 006 007 008 009 010 011 012.MI 012.MI.SA 013 014 015.MI 015.MI.SA 016 017 018 020.MI 020.MI.SA 021 022.MI 022.MI.SA 023 024 025.MI 025.MI.SA 026 027 028 029 030 031 033 034.MI 034.MI.SA 035 036 037 038 039
Chapter 6: Continuous Probability Distributions
6.AQ 3 502a 502b 502c
6.CP 3 001 002 501.XP
6.E 20 001 002.MI 002.MI.SA 004 007 008 009 010 011 012 013.MI 013.MI.SA 014 019 020 021 024 025 027.MI 027.MI.SA
6.XP 31 001 002 003 004 005.MI 005.MI.SA 006 007 008 009 010.MI 010.MI.SA 011 012.MI 012.MI.SA 013 014 015 016.MI 016.MI.SA 017 018 019 021.MI 021.MI.SA 022.MI 022.MI.SA 023 024.MI 024.MI.SA 025
Chapter 7: Sampling and Sampling Distributions
7.CP 1 501.XP
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Chapter 8: Interval Estimation
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8.CP 5 002 002.alt 501.XP 502.XP 502.XP.alt
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Chapter 9: Hypothesis Tests
9.AQ 1 503
9.CP 5 001 001.alt 002 002.alt 003
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9.XP 47 001 002 003 004 005 006 007 008 009.MI 009.MI.SA 010 011 012 013 014 015 016 017 017.alt 018 019 020 021 022 024 025 026.MI 026.MI.SA 027 028.MI 028.MI.SA 030 031.MI 031.MI.SA 032 033.MI 033.MI.SA 034 035.MI 035.MI.SA 036 037 038 039 040 041.MI 041.MI.SA
Chapter 10: Statistical Inference About Means and Proportions with Two Populations
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10.CP 2 501.XP 501.XP.alt
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10.XP 32 001 002 003 004 005 005.alt 006 007 007.alt 008 008.alt 009 009.alt 010 011 011.alt 012 012.alt 013 013.alt 014 015 016 017 018 020.MI 020.MI.SA 021.MI 021.MI.SA 022 023 024
Chapter 11: Inferences About Population Variances
11.AQ 2 501 502
11.CP 8 001 001.alt 002 002.alt 501.XP 501.XP.alt 502.XP 502.XP.alt
11.E 21 001 002.MI 002.MI.SA 003.MI 003.MI.SA 004 005 009 010 012 013 014.MI 014.MI.SA 015 016 017 018 020 021 022 022.alt
11.XP 27 001 001.alt 002 003.MI 003.MI.SA 003.alt 004.MI 004.MI.SA 005 006 007 008 009 010 010.alt 011 012.MI 012.MI.SA 013 013.alt 014.MI 014.MI.SA 015 016 017 018 019
Chapter 12: Tests of Goodness of Fit and Independence
12.AQ 1 501
12.CP 3 501.XP 501.XP.alt 503.XP
12.E 11 001.MI 001.MI.SA 005 009 011 013 014 015 016 018 019
12.XP 22 002.MI 002.MI.SA 009 010 011 013.MI 013.MI.SA 014 015 016 017 018 023 024 025 026 027.MI 027.MI.SA 028 029 030 031
Chapter 13: Experimental Design and Analysis of Variance
13.AQ 2 503a 503b
13.CP 8 002 002.alt 501.XP 501.XP.alt 502.XP 502.XP.alt 503.XP 503.XP.alt
13.E 26 001 002.MI 002.MI.SA 003 004 005 006 006.alt 007 009 013.MI 013.MI.SA 014 015 016 017 018 019 020.MI 020.MI.SA 022 025 026 027.MI 027.MI.SA 029
13.XP 48 001 002 003.MI 003.MI.SA 004 004.alt 005 005.alt 006 006.alt 007 008 009 009.alt 010 011 011.alt 012.MI 012.MI.SA 012.alt 013 014 014.alt 015.MI 015.MI.SA 016 016.alt 017 018 019.MI 019.MI.SA 019.alt 020 020.alt 021 021.alt 022 022.alt 023.MI 023.MI.SA 023.alt 024 025 025.alt 026 027 028 029
Chapter 13E: Additional Practice: 13th Edition
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13E.07 1 045
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13E.10 4 007 014 035 047
13E.11 7 004 005 011 021.MI 021.MI.SA 021.alt 034
13E.12 5 005.MI 005.MI.SA 007 013 033
13E.13 8 025 025.alt 027 027.alt 030 039 039.alt 041
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13E.15 6 009 017 025 031 031.alt 037
13E.16 3 009 015 035
13E.17 2 021 047
13E.18 1 021
13E.20 2 011.MI 011.MI.SA
Chapter 14: Simple Linear Regression
14.AQ 6 502 503 506 508 509a 509b
14.CP 7 002 004 004.alt 501.XP 501.XP.alt 502.XP 503.XP
14.E 25 001 002 003 004 005 006 007 008 009 013 014 015.MI 015.MI.SA 018 019 020 022 023 024 024.MI 024.MI.SA 025 026 029 030
14.XP 50 001 003 004 005 005.alt 007 008 009.MI 009.MI.SA 010 011.MI 011.MI.SA 011.alt 012 013 014 015 015.alt 016 016.alt 017.MI 017.MI.SA 018 018.alt 019 019.alt 020 021 022 023 024 024.alt 025 025.alt 026 027.MI 027.MI.SA 028 028.alt 029 029.alt 030 030.alt 031 032 033 034 035 036 037
Chapter 15: Multiple Regression
15.CP 2 501.XP 501.XP.alt
15.E 37 001 002 003 004.MI 004.MI.SA 006 007 008 009.MI 009.MI.SA 010 011 011.alt 012.MI 012.MI.SA 013 014 015 016 017 018 019 020 021 022.MI 022.MI.SA 023 023.alt 025.MI 025.MI.SA 026 027 030 031.MI 031.MI.SA 032 034
15.XP 34 001 002 003 003.alt 004 005 006 006.alt 007 008 009 009.alt 010 011 011.alt 012 013 013.alt 014 015 015.alt 016 018 019.MI 019.MI.SA 020 021 022 023 024 025 026 027 028
Chapter 16: Regression Analysis: Model Building
16.AQ 1 501
16.CP 1 003
16.E 14 001 002 003 005 006 008 008.alt 009.MI 009.MI.SA 010.MI 010.MI.SA 011 012 014
16.XP 15 002.MI 002.MI.SA 006 008 009 010 011 012 013 013.alt 014 015 016 017 018
Chapter 17: Time Series Analysis and Forecasting
17.AQ 3 501 502 503
17.CP 4 001 001.alt 003 003.alt
17.E 33 001 002 003 004.MI 004.MI.SA 005 006 007 007.alt 008 008.alt 009 009.alt 010 011.MI 011.MI.SA 012 014 016 017 018 021 022 023 024 024.alt 025 025.alt 026.MI 026.MI.SA 027 028 028.alt
17.XP 48 001 002 003 004 005 005.alt 006.MI 006.MI.SA 007 007.alt 008.MI 008.MI.SA 008.alt 009 009.alt 010 010.alt 011 011.alt 013 013.alt 014 014.alt 015 015.alt 016 016.alt 017 018 019 020 020.alt 021 022 022.alt 023 024 024.alt 025 026 027 028 028.alt 029 030 031 032 033
Chapter 18: Non-Parametric Methods
18.CP 2 501.XP 501.XP.alt
18.E 20 002 004 006 007 009 010 011 013 013.alt 014 015 017 018 019 021 021.alt 022 023 024 026
18.XP 33 001 002 003 004 005.MI 005.MI.SA 006 007.MI 007.MI.SA 007.alt 008 008.alt 010 012.MI 012.MI.SA 013 014 014.alt 015 015.alt 016 016.alt 017 017.alt 018 019 020 020.alt 021 021.alt 022 022.alt 023
Chapter 19: Index Numbers
19.E 10 001 004.MI 004.MI.SA 006 009 010 011 012 018 019
19.XP 11 002.MI 002.MI.SA 003 004.MI 004.MI.SA 005 006 007.MI 007.MI.SA 008 008.alt
Chapter 20: Statistical Methods for Quality Control
20.AQ 2 501 502
20.E 8 001 003 004 007 010 011 013 014
20.XP 9 001 002.MI 002.MI.SA 003 004 005 006 007.MI 007.MI.SA
Chapter 21: Decision Analysis
21.CP 2 501.XP 502.XP
21.E 7 001 005 010 012 013 015 017
21.XP 18 001 002 003.MI 003.MI.SA 004.MI 004.MI.SA 005 006 007.MI 007.MI.SA 008 009.MI 009.MI.SA 010 011 012 013 014
Chapter 22: Sample Surveys
22.CP 1 501.XP
22.E 14 001 002 003 004 008 009.MI 009.MI.SA 010 011 012 014 015 016.MI 016.MI.SA
22.XP 11 002.MI 002.MI.SA 003 004 005 006 007 008 009 010 012
Total 1400  

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