A Course in Business Statistics 4th edition

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David Groebner, Patrick Shannon, Phillip Fry, and Kent Smith
Publisher: Pearson Education


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  • Chapter 1: The Where, Why and How of Data Collection
    • 1.1 What is Business Statistics? (5)
    • 1.2 Tools for Collecting Data (5)
    • 1.3 Populations, Samples, and Sampling Techniques (8)
    • 1.4 Data Types and Data Measurement Levels (5)
    • Chapter Exercises (2)

  • Chapter 2: Graphs, Charts, and Tables-Describing Your Data
    • 2.1 Frequency Distribution and Histograms (15)
    • 2.2 Bar Charts, Pie Charts, and Stem and Leaf Diagrams (2)
    • 2.3 Line Charts and Scatter Diagrams (3)
    • Chapter Exercises (5)

  • Chapter 3: Describing Data Using Numerical Measures
    • 3.1 Measures of Center and Location (4)
    • 3.2 Measures of Variation (4)
    • 3.3 Using the Mean and the Standard Deviation Together (6)
    • Chapter Exercises (11)

  • Chapter 4: Using Probability and Probability Distributions
    • 4.1 The Basics of Probability (6)
    • 4.2 The Rules of Probability (7)
    • 4.3 Introduction to Probability Distributions (6)
    • Chapter Exercises (6)

  • Chapter 5: Discrete and Continuous Probability Distributions
    • 5.1 The Binomial Probability Distribution (9)
    • 5.2 Other Discrete Probability Distributions
    • 5.3 The Normal Probability Distributions (10)
    • 5.4 Other Continuous Probability Distributions (2)
    • Chapter Exercises (4)

  • Chapter 6: Introduction to Sampling Distributions
    • 6.1 Sampling Error: What it is and Why is Happens (2)
    • 6.2 Sampling Distribution of the Mean (4)
    • 6.3 Sampling Distribution of a Proportion (8)
    • Chapter Exercises (12)

  • Chapter 7: Estimating Population Values
    • 7.1 Point and Confidence Interval Estimates for a Population Mean (7)
    • 7.2 Determining the Required Sample Size for Estimating the Population Mean (4)
    • 7.3 Estimating a Population Proportion (6)
    • Chapter Exercises (8)

  • Chapter 8: Introduction to Hypothesis Testing
    • 8.1 Hypothesis Tests for Means (7)
    • 8.2 Hypothesis Tests for Proportions (5)
    • 8.3 Type II Errors
    • Chapter Exercises (13)

  • Chapter 9: Estimation and Hypothesis Testing for Two Population Parameters
    • 9.1 Estimation for Two Population Means (4)
    • 9.2 Hypothesis Tests for the Difference Between Two Population Means (6)
    • 9.3 Estimation and Hypothesis Tests for Two Population Proportions (4)
    • 9.4 Introduction to Contingency Analysis (6)
    • Chapter Exercises (8)

  • Chapter 10: Hypothesis Tests for One and Two Population Variances
    • 10.1 Hypotheses Tests for a Single Population Variance (5)
    • 10.2 Hypothesis Tests for Two Population Variances (8)
    • Chapter Exercises (12)

  • Chapter 11: Analysis of Variance
    • 11.1 One-Way Analysis of Variance (10)
    • 11.2 Radomized Complete Block Analysis of Variance (5)
    • Chapter Exercises (11)

  • Chapter 12: Introduction to Linear Regression and Correlation Analysis
    • 12.1 Scatter Plots and Correlation (3)
    • 12.2 Simple Linear Regression Analysis (6)
    • 12.3 Uses for Regression Analysis (7)
    • Chapter Exercises (9)

  • Chapter 13: Multiple Regression Analysis and Model Building
    • 13.1 Introduction to Multiple Regression Analysis (7)
    • 13.2 Using Qualitive Independent Variables (7)
    • 13.3 Working with Nonlinear Relationships (6)
    • 13.4 Stepwise Regression (1)
    • 13.5 Determing the Aptness of the Model (4)
    • Chapter Exercises

  • Chapter 14: Introduction to Decision Analysis
    • 14.1 Decision-Making Environments and Decision Criteria (11)
    • 14.2 Cost of Uncertainty (2)
    • 14.3 Decision-Tree Analysis (3)
    • Chapter Exercises (9)

  • Chapter 15: Analyzing and Forecasting Time-Series Data
    • 15.1 Introduction to Forecasting, Time-Series Data, and Index Numbers (15)
    • 15.2 Trend-Based Forecasting Techniques (4)
    • 15.3 Forecasting Using Smoothing Methods (3)
    • Chapter Exercises (3)

  • Chapter 16: Introduction to Nonparametric Statistics
    • 16.1 The Wilcoxon Signed Rank Test for One Population Center (7)
    • 16.2 Nonparametric Tests for Two Population Centers (14)
    • 16.3 Kruskal-Wallis One-Way Analysis of Variance (3)
    • Chapter Exercises (1)

  • Chapter 17: Introduction to Quality and Statistical Process Control
    • 17.1 Quality Management and Tools for Process Improvement (5)
    • 17.2 Introduction to Statistical Process Control Charts (12)
    • Chapter Exercises (7)

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Group Quantity Questions
Chapter 1: The Where, Why and How of Data Collection
1.E 25 002 003 004 005 012 016 018 019 022 028 032 034 036 040 042 046 048 050 052 053 054 056 058 060 062
Chapter 2: Graphs, Charts, and Tables-Describing Your Data
2.E 25 001 002 003 004 005 006 007 008 009 010 011 013 014 015 016 026 029 038 042 044 050 052 056 060 064
Chapter 3: Describing Data Using Numerical Measures
3.E 25 002 009 016 019 022 023 024 026 034 035 036 037 039 041 057 058 060 061 064 065 070 071 073 075 076
Chapter 4: Using Probability and Probability Distributions
4.E 25 002 004 009 011 012 014 016 018 020 022 024 034 036 042 043 045 047 048 050 059 060 064 067 072 078
Chapter 5: Discrete and Continuous Probability Distributions
5.E 25 002 004 007 009 015 018 022 023 025 042 044 045 046 050 052 054 057 058 063 076 078 103 104 116 125
Chapter 6: Introduction to Sampling Distributions
6.E 26 004 008 014 020 022 024 030 031 032 036 037 040 041 044 058 060 064 066 067 068 070 071 072 080 081 083
Chapter 7: Estimating Population Values
7.E 25 004 006 008 010 016 020 022 030 036 038 040 045 046 047 050 052 056 064 066 069 071 072 079 080 082
Chapter 8: Introduction to Hypothesis Testing
8.E 25 008 009 010 012 014 016 019 026 030 032 034 037 058 059 060 066 068 070 072 073 076 077 078 079 080
Chapter 9: Estimation and Hypothesis Testing for Two Population Parameters
9.E 28 004 008 012 014 019 020 024 026 030 032 035 036 040 041 044 047 050 052 055 056 058 059 061 064 068 069 071 074
Chapter 10: Hypothesis Tests for One and Two Population Variances
10.E 25 002 004 006 008 010 012 014 016 018 019 020 023 024 026 027 028 030 031 032 033 034 035 040 042 044
Chapter 11: Analysis of Variance
11.E 26 001 002 003 004 005 006 007 008 010 011 012 014 015 016 018 020 021 022 024 025 026 027 028 030 032 034
Chapter 12: Introduction to Linear Regression and Correlation Analysis
12.E 25 006 008 010 018 020 022 024 025 026 028 030 032 033 034 036 038 044 045 047 048 055 056 058 061 062
Chapter 13: Multiple Regression Analysis and Model Building
13.E 25 001 002 003 004 006 008 009 010 012 014 015 016 017 018 019 020 021 022 024 026 030 036 038 039 040
Chapter 14: Introduction to Decision Analysis
14.E 25 001 004 005 006 007 008 009 010 011 012 016 018 019 024 025 026 032 036 037 038 039 040 041 048 050
Chapter 15: Analyzing and Forecasting Time-Series Data
15.E 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 022 024 026 028 036 037 040 045 047 049
Chapter 16: Introduction to Nonparametric Statistics
16.E 25 001 002 003 004 005 006 010 012 013 014 015 016 019 021 022 023 025 026 027 029 030 039 040 046 051
Chapter 17: Introduction to Quality and Statistical Process Control
17.E 24 001 002 003 006 008 010 011 012 013 014 016 018 020 022 024 026 028 029 030 031 032 034 036 037
Total 429