Statistics for Business and Economics 15th edition

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Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: Cengage Learning

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  • Camm et al. Statistics for Business and Economics 15e - 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
    • 1.9: Ethical Guidelines for Statistical Practice
    • 1: Supplementary Exercises (27)
    • 1: Test Bank
    • 1: Previous Edition Questions (2)

  • Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
    • 2.1: Summarizing Data for a Categorical Variable (9)
    • 2.2: Summarizing Data for a Quantitative Variable (24)
    • 2.3: Summarizing Data for Two Variables Using Tables (8)
    • 2.4: Summarizing Data for Two Variables Using Graphical Displays (12)
    • 2.5: Data Visualization: Best Practices in Creating Effective Graphical Displays
    • 2: Supplementary Exercises (18)
    • 2: R Appendix Practice Problems (2)
    • 2: Exploring Statistics Applet Exercises (2)
    • 2: Case Problems (5)
    • 2: Test Bank

  • Chapter 3: Descriptive Statistics: Numerical Measures
    • 3.1: Measures of Location (24)
    • 3.2: Measures of Variability (18)
    • 3.3: Measures of Distribution Shape, Relative Location, and Detecting Outliers (15)
    • 3.4: Five-Number Summaries and Boxplots (11)
    • 3.5: Measures of Association Between Two Variables (9)
    • 3.6: Data Dashboards: Adding Numerical Measures to Improve Effectiveness
    • 3: Supplementary Exercises (19)
    • 3: R Appendix Practice Problems (4)
    • 3: Exploring Statistics Applet Exercises (2)
    • 3: Case Problems (9)
    • 3: Test Bank
    • 3: Previous Edition Questions (6)

  • Chapter 4: Introduction to Probability
    • 4.1: Random Experiments, Counting Rules, and Assigning Probabilities (14)
    • 4.2: Events and Their Probabilities (5)
    • 4.3: Some Basic Relationships of Probability (9)
    • 4.4: Conditional Probability (9)
    • 4.5: Bayes' Theorem (8)
    • 4: Supplementary Exercises (15)
    • 4: Exploring Statistics Applet Exercises (2)
    • 4: Case Problems (3)
    • 4: Test Bank
    • 4: Previous Edition Questions (5)

  • Chapter 5: Discrete Probability Distributions
    • 5.1: Random Variables (6)
    • 5.2: Developing Discrete Probability Distributions (10)
    • 5.3: Expected Value and Variance (12)
    • 5.4: Bivariate Distributions, Covariance, and Financial Portfolios (7)
    • 5.5: Binomial Probability Distribution (12)
    • 5.6: Poisson Probability Distribution (7)
    • 5.7: Hypergeometric Probability Distribution (6)
    • 5: Supplementary Exercises (12)
    • 5: R Appendix Practice Problems (2)
    • 5: Exploring Statistics Applet Exercises (1)
    • 5: Case Problems (3)
    • 5: Test Bank
    • 5: Previous Edition Questions (2)

  • Chapter 6: Continuous Probability Distributions
    • 6.1: Uniform Probability Distribution (8)
    • 6.2: Normal Probability Distribution (20)
    • 6.3: Normal Approximation of Binomial Probabilities (6)
    • 6.4: Exponential Probability Distribution (4)
    • 6: Supplementary Exercises (12)
    • 6: R Appendix Practice Problems (4)
    • 6: Exploring Statistics Applet Exercises (3)
    • 6: Case Problems (2)
    • 6: Test Bank
    • 6: Previous Edition Questions (9)

  • Chapter 7: Sampling and Sampling Distributions
    • 7.1: The Electronics Associates Sampling Problem
    • 7.2: Selecting a Sample (6)
    • 7.3: Point Estimation (5)
    • 7.4: Introduction to Sampling Distributions
    • 7.5: Sampling Distribution of (11)
    • 7.6: Sampling Distribution of (11)
    • 7.7: Properties of Point Estimators
    • 7.8: Other Sampling Methods
    • 7.9: Big Data and Standard Errors of Sampling Distributions (1)
    • 7: Supplementary Exercises (13)
    • 7: Case Problems (2)
    • 7: Test Bank
    • 7: Previous Edition Questions (1)

  • Chapter 8: Interval Estimation
    • 8.1: Population Mean: σ Known (10)
    • 8.2: Population Mean: σ Unknown (16)
    • 8.3: Determining the Sample Size (8)
    • 8.4: Population Proportion (13)
    • 8.5: Big Data and Confidence Intervals
    • 8: Supplementary Exercises (18)
    • 8: R Appendix Practice Problems (4)
    • 8: Exploring Statistics Applet Exercises (9)
    • 8: Case Problems (6)
    • 8: Test Bank

  • Chapter 9: Hypothesis Tests
    • 9.1: Developing Null and Alternative Hypotheses (4)
    • 9.2: Type I and Type II Errors (4)
    • 9.3: Population Mean: σ Known (14)
    • 9.4: Population Mean: σ Unknown (15)
    • 9.5: Population Proportion (13)
    • 9.6: Hypothesis Testing and Decision Making
    • 9.7: Calculating the Probability of Type II Errors (7)
    • 9.8: Determining the Sample Size for a Hypothesis Test About a Population Mean (6)
    • 9.9: Big Data and Hypothesis Testing
    • 9: Supplementary Exercises (11)
    • 9: R Appendix Practice Problems (3)
    • 9: Exploring Statistics Applet Exercises (1)
    • 9: Case Problems (5)
    • 9: Test Bank
    • 9: Previous Edition Questions (5)

  • Chapter 10: Inference About Means and Proportions with Two Populations
    • 10.1: Inferences About the Difference Between Two Population Means: σ1 and σ2 Known (10)
    • 10.2: Inferences About the Difference Between Two Population Means: σ1 and σ2 Unknown (15)
    • 10.3: Inferences About the Difference Between Two Population Means: Matched Samples (15)
    • 10.4: Inferences About the Difference Between Two Population Proportions (9)
    • 10: Supplementary Exercises (9)
    • 10: R Appendix Practice Problems (3)
    • 10: Exploring Statistics Applet Exercises (2)
    • 10: Case Problems (2)
    • 10: Test Bank
    • 10: Previous Edition Questions (5)

  • Chapter 11: Inferences About Population Variances
    • 11.1: Inferences About a Population Variance (18)
    • 11.2: Inferences About Two Population Variances (13)
    • 11: Supplementary Exercises (15)
    • 11: R Appendix Practice Problems (3)
    • 11: Exploring Statistics Applet Exercises (2)
    • 11: Case Problems (4)
    • 11: Test Bank
    • 11: Previous Edition Questions (2)

  • Chapter 12: Comparing Multiple Proportions, Test of Independence, and Goodness of Fit
    • 12.1: Testing the Equality of Population Proportions for Three or More Populations (10)
    • 12.2: Test of Independence (10)
    • 12.3: Goodness of Fit Test (7)
    • 12: Supplementary Exercises (12)
    • 12: R Appendix Practice Problems (2)
    • 12: Exploring Statistics Applet Exercises (1)
    • 12: Case Problems (5)
    • 12: Test Bank
    • 12: Previous Edition Questions (4)

  • 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 (18)
    • 13.3: Multiple Comparison Procedures (10)
    • 13.4: Randomized Block Design (11)
    • 13.5: Factorial Experiment (9)
    • 13: Supplementary Exercises (16)
    • 13: R Appendix Practice Problems (3)
    • 13: Exploring Statistics Applet Exercises (2)
    • 13: Case Problems (6)
    • 13: Test Bank
    • 13: Previous Edition Questions (2)

  • Chapter 14: Simple Linear Regression
    • 14.1: Simple Linear Regression Model
    • 14.2: Least Squares Method (18)
    • 14.3: Coefficient of Determination (9)
    • 14.4: Model Assumptions
    • 14.5: Testing for Significance (13)
    • 14.6: Using the Estimated Regression Equation for Estimation and Prediction (9)
    • 14.7: Computer Solution (8)
    • 14.8: Residual Analysis: Validating Model Assumptions (7)
    • 14.9: Residual Analysis: Outliers and Influential Observations (6)
    • 14.10: Practical Advice: Big Data and Hypothesis Testing in Simple Linear Regression
    • 14: Supplementary Exercises (7)
    • 14: R Appendix Practice Problems (5)
    • 14: Exploring Statistics Applet Exercises (6)
    • 14: Case Problems (7)
    • 14: Test Bank
    • 14: Previous Edition Questions (2)

  • Chapter 15: Multiple Regression
    • 15.1: Multiple Regression Model
    • 15.2: Least Squares Method (12)
    • 15.3: Multiple Coefficient of Determination (11)
    • 15.4: Model Assumptions
    • 15.5: Testing for Significance (9)
    • 15.6: Using the Estimated Regression Equation for Estimation and Prediction (5)
    • 15.7: Categorical Independent Variables (10)
    • 15.8: Residual Analysis (6)
    • 15.9: Logistic Regression (3)
    • 15.10: Practical Advice: Big Data and Hypothesis Testing in Multiple Regression
    • 15: Supplementary Exercises (6)
    • 15: R Appendix Practice Problems (4)
    • 15: Case Problems (4)
    • 15: Test Bank
    • 15: Previous Edition Questions (4)

  • Chapter 16: Regression Analysis: Model Building
    • 16.1: General Linear Model (13)
    • 16.2: Determining When to Add or Delete Variables (9)
    • 16.3: Variable Selection Procedures (2)
    • 16.4: Multiple Regression Approach to Experimental Design (4)
    • 16.5: Autocorrelation and the Durbin–Watson Test (2)
    • 16: Supplementary Exercises (5)
    • 16: R Appendix Practice Problems (1)
    • 16: Exploring Statistics Applet Exercises (1)
    • 16: Case Problems (2)
    • 16: Test Bank
    • 16: Previous Edition Questions (3)

  • Chapter 17: Time Series Analysis and Forecasting
    • 17.1: Time Series Patterns
    • 17.2: Forecast Accuracy (5)
    • 17.3: Moving Averages and Exponential Smoothing (16)
    • 17.4: Trend Projection (18)
    • 17.5: Seasonality and Trend (12)
    • 17.6: Time Series Decomposition (11)
    • 17: Supplementary Exercises (18)
    • 17: R Appendix Practice Problems (3)
    • 17: Exploring Statistics Applet Exercises (3)
    • 17: Case Problems (4)
    • 17: Test Bank
    • 17: Previous Edition Questions (1)

  • Chapter 18: Nonparametric Methods
    • 18.1: Sign Test (12)
    • 18.2: Wilcoxon Signed-Rank Test (9)
    • 18.3: Mann–Whitney–Wilcoxon Test (15)
    • 18.4: Kruskal–Wallis Test (9)
    • 18.5: Rank Correlation (10)
    • 18: Supplementary Exercises (16)
    • 18: R Appendix Practice Problems (5)
    • 18: Case Problems (2)
    • 18: Test Bank

  • Chapter 19: Decision Analysis
    • 19.1: Problem Formulation
    • 19.2: Decision Making with Probabilities (7)
    • 19.3: Decision Analysis with Sample Information (7)
    • 19.4: Computing Branch Probabilities Using Bayes' Theorem (5)
    • 19: Supplementary Exercises (3)
    • 19: Case Problems (2)
    • 19: Test Bank

  • Chapter 20: Index Numbers
    • 20.1: Price Relatives
    • 20.2: Aggregate Price Indexes (4)
    • 20.3: Computing an Aggregate Price Index from Price Relatives (4)
    • 20.4: Some Important Price Indexes
    • 20.5: Deflating a Series by Price Indexes (4)
    • 20.6: Price Indexes: Other Considerations
    • 20.7: Quantity Indexes (2)
    • 20: Supplementary Exercises (8)
    • 20: Test Bank
    • 20: Previous Edition Questions (2)

  • Chapter 21: Statistical Methods for Quality Control
    • 21.1: Philosophies and Frameworks
    • 21.2: Statistical Process Control (7)
    • 21.3: Acceptance Sampling (4)
    • 21: Supplementary Exercises (7)
    • 21: R Appendix Practice Problems (1)
    • 21: Exploring Statistics Applet Exercises (2)
    • 21: Test Bank

  • Chapter 22: Sample Survey
    • 22.1: Terminology Used in Sample Surveys
    • 22.2: Types of Surveys and Sampling Methods
    • 22.3: Survey Errors
    • 22.4: Simple Random Sampling (7)
    • 22.5: Stratified Simple Random Sampling (8)
    • 22.6: Cluster Sampling (5)
    • 22.7: Systematic Sampling
    • 22: Supplementary Exercises (7)
    • 22: Case Problems (1)
    • 22: Test Bank

  • Chapter A: Appendix
    • A: Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis (11)


Drawing from the authors' unmatched experience as professors and consultants, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's Statistics for Business and Economics, 15th edition, draws from the authors' unmatched experience to introduce statistics using clear statistical methodology, a proven problem-scenario approach and meaningful applications that demonstrate how statistical information impacts business decisions. More than 350 real and updated business examples, new and relevant cases and hands-on exercises present the latest statistical data and business information with unwavering accuracy. Step-by-step instructions for Excel® and R guide students in using this business software for data analysis. WebAssign allows you to deliver your course using online activities, secure testing, an eBook and student study resources. Whether building their prerequisite knowledge or honing their problem-solving skills, you have flexible, rich content to fuel deeper student learning and confidence in any course format.

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Chapter 1: Data and Statistics
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Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
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Chapter 3: Descriptive Statistics: Numerical Measures
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Chapter 4: Introduction to Probability
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Chapter 5: Discrete Probability Distributions
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Chapter 6: Continuous Probability Distributions
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Chapter 7: Sampling and Sampling Distributions
7.CP 2 001 002
7.E 47 001 003 005.MI 005.MI.SA 007 009 011 013 015.MI 015.MI.SA 017 019 021 023 024 025 026 027.MI 027.MI.SA 028 029.MI 029.MI.SA 031 032 033.MI 033.MI.SA 034 035 037 038 039 041.MI 041.MI.SA 045 051.MI 051.MI.SA 054 055.MI 055.MI.SA 056 057 059.MI 059.MI.SA 060 061 062.MI 062.MI.SA
7.TB 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
7.XP 1 001
Chapter 8: Interval Estimation
8.A 4 1.001.R 1.002.R 2.001.R 3.001.R
8.AQ 9 501 502 502a 502b 502c 502d 502e 503 504
8.CP 6 001 002 002.alt 003 003.alt 004
8.E 65 001 002.MI 002.MI.SA 003 004.MI 004.MI.SA 005 007 008 009 011.MI 011.MI.SA 012.MI 012.MI.SA 013 014 015.MI 015.MI.SA 016 017 017.alt 018 018.alt 019 021 021.alt 023 024.MI 024.MI.SA 025 026 027 029.MI 029.MI.SA 031 032 033 034 035.MI 035.MI.SA 036 037 039.MI 039.MI.SA 040 041 043 048.MI 048.MI.SA 049.MI 049.MI.SA 050 051 053 054.MI 054.MI.SA 055 056 057 058.MI 058.MI.SA 059 061.MI 061.MI.SA 063
8.TB 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
Chapter 9: Hypothesis Tests
9.A 3 1.001.R 2.001.R 3.001.R 3.002.R
9.AQ 1 503
9.CP 5 001 001.alt 002 002.alt 003
9.E 74 001 002 003 004 005 006 007 008 009.MI 009.MI.SA 010 011 012 013 014.MI 014.MI.SA 015 016 017 019 021 022 023.MI 023.MI.SA 024.MI 024.MI.SA 025 026 027 028 029 029.alt 030 031 032 033 034 035.MI 035.MI.SA 036.MI 036.MI.SA 037 038 039 040 041 042.MI 042.MI.SA 043 045 046.MI 046.MI.SA 047 049 051.MI 051.MI.SA 053 054 055.MI 055.MI.SA 057.MI 057.MI.SA 059 065.MI 065.MI.SA 067 069 071 073.MI 073.MI.SA 075 077 079.MI 079.MI.SA
9.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145
9.XP 5 001 002.MI 002.MI.SA 003 004
Chapter 10: Inference About Means and Proportions with Two Populations
10.A 3 001.R 002.R 003.R
10.AQ 2 501 503
10.CP 2 001 001.alt
10.E 58 001.MI 001.MI.SA 002 003.MI 003.MI.SA 004 005 006 007 008 009.MI 009.MI.SA 010 011.MI 011.MI.SA 012 013 013.alt 014 015 016 016.alt 017 018 018.alt 019 020.MI 020.MI.SA 021.MI 021.MI.SA 022 022.alt 023 024 024.alt 025 025.alt 026 026.alt 027 028.MI 028.MI.SA 029.MI 029.MI.SA 030 031 033 035 037 039 039.alt 041.MI 041.MI.SA 043.MI 043.MI.SA 044 045 046
10.TB 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
10.XP 5 001 002 003.MI 003.MI.SA 004
Chapter 11: Inferences About Population Variances
11.A 3 001.R 002.R 003.R
11.AQ 2 501 502
11.CP 4 001 001.alt 002 002.alt
11.E 46 001 002.MI 002.MI.SA 003.MI 003.MI.SA 004 005 005.alt 006 007.MI 007.MI.SA 007.alt 009.MI 009.MI.SA 010 011 011.alt 012 013 014.MI 014.MI.SA 015 016 017 018 019 019.alt 020 021 021.alt 022 023 024.MI 024.MI.SA 025 025.alt 026 027.MI 027.MI.SA 028 029 030 031 032 033 034
11.TB 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
11.XP 2 001 002
Chapter 12: Comparing Multiple Proportions, Test of Independence, and Goodness of Fit
12.A 2 001.R 002.R
12.AQ 1 501
12.CP 5 001 001.alt 002 002.alt 003
12.E 39 001 002.MI 002.MI.SA 003 004 005 006 007 007.alt 008 009 010 011 012 013 013.alt 014 015 017.MI 017.MI.SA 019.MI 019.MI.SA 020 021 023 024 025 027 028 029 030.MI 030.MI.SA 031 032 033 034 035.MI 035.MI.SA 037
12.TB 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
12.XP 4 001.MI 001.MI.SA 002 003
Chapter 13: Experimental Design and Analysis of Variance
13.A 3 001.R 002.R 003.R
13.AQ 2 503a 503b
13.CP 6 001 001.alt 002 002.alt 003 003.alt
13.E 64 001 002.MI 002.MI.SA 003 004 005 006 006.alt 007 008 009.MI 009.MI.SA 010 010.alt 011 011.alt 012 012.alt 013.MI 013.MI.SA 014 015 016 017 018 019 020 020.alt 021 022 023.MI 023.MI.SA 024 025 025.alt 026.MI 026.MI.SA 026.alt 027 028 029 030 030.alt 031.MI 031.MI.SA 032 032.alt 033 034 035.MI 035.MI.SA 035.alt 036 036.alt 037 037.alt 038 038.alt 040 041 041.alt 043.MI 043.MI.SA 044
13.TB 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
13.XP 2 001 002.alt
Chapter 14: Simple Linear Regression
14.A 5 001.R 002.R 003.R 004.R 005.R
14.AQ 6 502 503 506 508 509a 509b
14.CP 7 001 002 002.alt 003 003.alt 004 005
14.E 77 001 002 003 004 005 006 007 008 009 009.alt 010.MI 010.MI.SA 010.alt 011 012 012.alt 013.MI 013.MI.SA 015 016 017 018 019.MI 019.MI.SA 019.alt 020 021 023 024 025.MI 025.MI.SA 026 027 027.alt 028 028.alt 029.MI 029.MI.SA 031 031.alt 032 033 034 035 035.alt 036 037 038 039 040 041 042.MI 042.MI.SA 043 043.alt 044 044.alt 045 046 047 048.MI 048.MI.SA 049 049.alt 050 051 052 052.alt 053 053.alt 055 057 059 061 063 065 067
14.TB 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
14.XP 2 001.MI 001.MI.SA
Chapter 15: Multiple Regression
15.A 4 001.R 002.R 003.R 004.R
15.CP 4 001 001.alt 002 003
15.E 62 001 002 003 004.MI 004.MI.SA 005 006 007 008 009 009.alt 010 011 012 013.MI 013.MI.SA 014 015 015.alt 016 017 017.alt 018 019.MI 019.MI.SA 020 021 022 023 025 025.alt 026 027 028 029 031 031.alt 032 033 034.MI 034.MI.SA 035 035.alt 036 037 037.alt 038 039 040 041 041.alt 042 043 045.MI 045.MI.SA 047 049.MI 049.MI.SA 051 053 055 057
15.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089 090 092 093 094 095 096 097 098 099 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149
15.XP 4 001 002 003 004
Chapter 16: Regression Analysis: Model Building
16.A 1 001.R
16.AQ 1 501
16.CP 2 001 002
16.E 35 001 002 003 004 004.alt 005 006 007.MI 007.MI.SA 007.alt 008 008.alt 009 010.MI 010.MI.SA 011.MI 011.MI.SA 012 013 014 015 015.alt 017 019 020 021 023 025 027 027.alt 029 031 032 034 035
16.TB 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
16.XP 3 001 002 003
Chapter 17: Time Series Analysis and Forecasting
17.A 3 001.R 002.R 003.R
17.AQ 3 501 502 503
17.CP 4 001 001.alt 002 002.alt
17.E 80 001 002 003 004.MI 004.MI.SA 005 006 007 007.alt 008 008.alt 009 009.alt 010 011.MI 011.MI.SA 012 013 014 015 016 017 019 020 021 021.alt 022.MI 022.MI.SA 023 023.alt 024.MI 024.MI.SA 024.alt 025 025.alt 026 026.alt 027 027.alt 028 029 030 030.alt 031 031.alt 032 032.alt 033 033.alt 034 034.alt 035.MI 035.MI.SA 036 037 037.alt 038 038.alt 039 039.alt 040 040.alt 041 042 043 045 045.alt 046 047 047.alt 048 049 049.alt 050 051 052 053 053.alt 054 055
17.TB 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 064 065 066 067 068 069 070 071 072 073
17.XP 1 001
Chapter 18: Nonparametric Methods
18.A 5 1.001.R 2.001.R 3.001.R 4.001.R 5.001.R
18.CP 2 001 001.alt
18.E 71 001 002 003 004 005 006 006.alt 007 008 009.MI 009.MI.SA 011 012 012.alt 013 013.alt 014 014.alt 015 015.alt 017 018 019 019.alt 020 021.MI 021.MI.SA 021.alt 022 022.alt 023 023.alt 024 024.alt 025 025.alt 026 027 027.alt 028 029 029.alt 030.MI 030.MI.SA 031 032 033 034 034.alt 035 035.alt 036 036.alt 037 037.alt 038 039 040 040.alt 041 042 042.alt 043 043.alt 044 044.alt 045 045.alt 046 046.alt 047
18.TB 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
Chapter 19: Decision Analysis
19.CP 2 001 002
19.E 22 001 002 003.MI 003.MI.SA 004 006 007 008 009.MI 009.MI.SA 010 011 012 013 014.MI 014.MI.SA 015 016 017 018 019 020
19.TB 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
19.XP 1 001
Chapter 20: Index Numbers
20.E 22 001 003.MI 003.MI.SA 004 006 007 008 009 010 011.MI 011.MI.SA 013 014 015 017.MI 017.MI.SA 019 021 023.MI 023.MI.SA 025 025.alt
20.TB 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
20.XP 2 001.MI 001.MI.SA
Chapter 21: Statistical Methods for Quality Control
21.A 1 001.R
21.AQ 2 501 502
21.E 18 001 003 004 005 007 009.MI 009.MI.SA 010 011 013 015 017 019 019.alt 021 023 026.MI 026.MI.SA
21.TB 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
Chapter 22: Sample Survey
22.CP 1 001
22.E 27 001 002 003 004 005 006.MI 006.MI.SA 007 008.MI 008.MI.SA 009 010 011 012 013 014 015 016.MI 016.MI.SA 017 018 019 020 021 022 023 024
22.TB 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
Total 1412 (2423)