 | eBook,
Chapter 1
An Introduction to Business Statistics |
| | Chapter Opener
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| eBook,
Chapter 1,
chbody 1
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| | 1.1 Populations and Samples
1.2 Sampling a Population of Existing Units
1.3 Sampling a Process
1.4 Ratio, Interval, Ordinal, and Nominative Scales of Measurement (Optional)
1.5 An Introduction to Survey Sampling (Optional)
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Chapter 1,
chend 2
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| | Appendix 1.1
Appendix 1.2
Appendix 1.3
Appendix 1.4
Chapter Summary
Glossary of Terms
Supplementary Exercises
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| eBook,
Chapter 2
Descriptive Statistics |
| | Chapter Opener
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| eBook,
Chapter 2,
chbody 3
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| | 2.1 Describing the Shape of a Distribution
2.2 Describing Central Tendency
2.3 Measures of Variation
2.4 Percentiles, Quartiles, and Box-and-Whiskers Displays
2.5 Describing Qualitative Data
2.6 Using Scatter Plots to Study Relationships between Variables (Optional)
2.7 Misleading Graphs and Charts (Optional)
2.8 Weighted Means and Grouped Data (Optional)
2.9 The Geometric Mean (Optional)
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| eBook,
Chapter 2,
chend 4
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| | Appendix 2.1 Descriptive Statistics Using MINITAB
Appendix 2.2 Descriptive Statistics Using Excel
Appendix 2.3 Descriptive Statistics Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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| eBook,
Chapter 3
Probability |
| | Chapter Opener
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| eBook,
Chapter 3,
chbody 5
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| | 3.1 The Concept of Probability
3.2 Sample Spaces and Events
3.3 Some Elementary Probability Rules
3.4 Conditional Probability and Independence
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Chapter 3,
chend 6
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| | Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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| eBook,
Chapter 4
Discrete Random Variables |
| | Chapter Opener
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| eBook,
Chapter 4,
chbody 7
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| | 4.1 Two Types of Random Variables
4.2 Discrete Probability Distributions
4.3 The Binomial Distribution
4.4 The Poisson Distribution (Optional)
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| eBook,
Chapter 4,
chend 8
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| | Appendix 4.1 Binomial and Poisson Probabilities Using MINITAB
Appendix 4.2 Binomial and Poisson Probabilities Using Excel
Appendix 4.3 Binomial and Poisson Probabilities Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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| eBook,
Chapter 5
Continuous Random Variables |
| | Chapter opener
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| eBook,
Chapter 5,
chbody 9
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| | 5.1 Continuous Probability Distributions
5.2 The Uniform Distribution
5.3 The Normal Probability Distribution
5.4 Approximating the Binomial Distribution by Using the Normal Distribution (Optional)
5.5 The Exponential Distribution (Optional)
5.6 The Cumulative Normal Table (Optional)
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| eBook,
Chapter 5,
chend 10
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| | Appendix 5.1 Normal Distribution Using MINITAB
Appendix 5.2 Normal Distribution Using Excel
Appendix 5.3 Normal Distribution Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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| eBook,
Chapter 6
Sampling Distributions |
| | Chapter Opener
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| eBook,
Chapter 6,
chbody 11
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| | 6.1 The Sampling Distribution of the Sample Mean
6.2 The Sampling Distribution of the Sample Proportion
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Chapter 6,
chend 12
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| | Appendix 6.1
Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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| eBook,
Chapter 7
Confidence Intervals |
| | Chapter Opener
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| eBook,
Chapter 7,
chbody 13
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| | 7.1 z-Based Confidence Intervals for a Population Mean: σ Known
7.2 t-Based Confidence Intervals for a Population Mean: σ Unknown
7.3 Sample Size Determination
7.4 Confidence Intervals for a Population Proportion
7.5 Confidence Intervals for Parameters of Finite Populations (Optional)
7.6 A Comparison of Confidence Intervals and Tolerance Intervals (Optional)
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| eBook,
Chapter 7,
chend 14
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| | Appendix 7.1 Confidence Intervals Using MINITAB
Appendix 7.2 Confidence Intervals Using Excel
Appendix 7.3 Confidence Intervals Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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| eBook,
Chapter 8
Hypothesis Testing |
| | Chapter Opener
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| eBook,
Chapter 8,
chbody 15
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| | 8.1 The Null and Alternative Hypotheses and Errors in Hypothesis Testing
8.2 z Tests about a Population Mean (s Known) One-Sided Alternatives
8.3 z Tests about a Population Mean (σ Known): Two Sided Alternatives
8.4 t Tests about a Population Mean (σ Unknown)
8.5 z Tests about a Population Proportion
8.6 Type II Error Probabilities and Sample Size Determination (Optional)
8.7 The Chi-Square Distribution (Optional)
8.8 Statistical Inference for a Population Variance (Optional)
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| eBook,
Chapter 8,
chend 16
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| | Appendix 8.1 One-Sample Hypothesis Testing Using MINITAB
Appendix 8.2 One-Sample Hypothesis Testing Using Excel
Appendix 8.3 One-Sample Hypothesis Testing Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 9
Statistical Inferences Based on Two Samples |
| | Chapter Opener
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| eBook,
Chapter 9,
chbody 17
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| | 9.1 Comparing Two Population Means by Using Independent Samples Variances Known
9.2 Comparing Two Population Means by Using Independent Samples Variances Unknown
9.3 Paired Difference Experiments
9.4 Comparing Two Population Proportions by Using Large Independent Samples
9.5 Comparing Two Population Variances by Using Independent Samples
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| eBook,
Chapter 9,
chend 18
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| | Appendix 9.1 Two-Sample Hypothesis Testing Using MINITAB
Appendix 9.2 Two-Sample Hypothesis Testing Using Excel
Appendix 9.3 Two---Sample Hypothesis Testing Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 10
Experimental Design and Analysis of Variance |
| | Chapter Opener
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| eBook,
Chapter 10,
chbody 19
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| | 10.1 Basic Concepts of Experimental Design
10.2 One-Way Analysis of Variance
10.3 The Randomized Block Design
10.4 Two-Way Analysis of Variance
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| eBook,
Chapter 10,
chend 20
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| | Appendix 10.1 Experimental Design and Analysis of Variance Using MINITAB
Appendix 10.2 Experimental Design and Analysis of Variance Using Excel
Appendix 10.3 Experimental Design and Analysis of Variance Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 11
Simple Linear Regression Analysis |
| | Chapter Opener
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| eBook,
Chapter 11,
chbody 21
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| | 11.10 Some Shortcut Formulas (Optional)
11.1 The Simple Linear Regression Model
11.2 The Least Squares Estimates, and Point Estimation and Prediction
11.3 Model Assumptions and the Standard Error
11.4 Testing the Significance of the Slope and y Intercept
11.5 Confidence and Prediction Intervals
11.6 Simple Coefficients of Determination and Correlation
11.7 Testing the Significance of the Population Correlation Coefficient (Optional)
11.8 An F Test for the Model
11.9 Residual Analysis (Optional)
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| eBook,
Chapter 11,
chend 22
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| | Appendix 11.1 Simple Linear Regression Analysis Using MINITAB
Appendix 11.2 Simple Linear Regression Analysis Using Excel
Appendix 11.3 Simple Linear Regression Analysis Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 12
Multiple Regression and Model Building |
| | Chapter Opener
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| eBook,
Chapter 12,
chbody 23
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| | 12.10 Using Dummy Variables to Model Qualitative Independent Variables (Optional)
12.11 The Partial F Test Testing the Significance of a Portion of a Regression Model (Optional)
12.12 Model Building, and the Effects of Multicollinearity (Optional)
12.13 Residual Analysis in Multiple Regression (Optional)
12.14 Diagnostics for Detecting Outlying and Influential Observations (Optional)
12.15 Logistic Regression (Optional)
12.1 The Multiple Regression Model
12.2 The Least Squares Estimates, and Point Estimation and Prediction
12.3 Model Assumptions and the Standard Error
12.4 R2 and Adjusted R2
12.5 The Overall F Test
12.6 Testing the Significance of an Independent Variable
12.7 Confidence and Prediction Intervals
12.8 The Quadratic Regression Model (Optional)
12.9 Interaction (Optional)
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| eBook,
Chapter 12,
chend 24
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| | Appendix 12.1 Multiple Linear Regression Analysis Using MINITAB
Appendix 12.2 Multiple Linear Regression Analysis Using Excel
Appendix 12.3 Multiple Linear Regression Analysis Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 13
Multiple Regression and Model Building |
| | Chapter Opener
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| eBook,
Chapter 13,
chbody 25
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| | 13.1 Time Series Components and Models
13.2 Time Series Regression: Basic Models
13.3 Time Series Regression: More Advanced Models (Optional)
13.4 Multiplicative Decomposition
13.5 Exponential Smoothing
13.6 Forecast Error Comparisons
13.7 Index Numbers
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| eBook,
Chapter 13,
chend 26
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| | Appendix 13.1 Time Series Analysis Using MINITAB
Appendix 13.2 Time Series Analysis Using Excel
Appendix 13.3 Time Series Analysis Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 14
Process Improvement Using Control Charts |
| | Chapter Opener
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| eBook,
Chapter 14,
chbody 27
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| | 14.1 Quality: Its Meaning and a Historical Perspective
14.2 Statistical Process Control and Causes of Process Variation
14.3 Sampling a Process, Rational Subgrouping, and Control Charts
14.4 X and R Charts
14.5 Pattern Analysis
14.6 Comparison of a Process with Specifications: Capability Studies
14.7 Charts for Fraction Nonconforming
14.8 Cause-and-Effect and Defect Concentration Diagrams (Optional)
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| eBook,
Chapter 14,
chend 28
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| | Appendix 14.1 Control Charts Using MINITAB
Appendix 14.2 Control Charts Using Excel
Appendix 14.3 Control Charts Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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| eBook,
Chapter 15
Nonparametric Methods |
| | Chapter Opener
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| eBook,
Chapter 15,
chbody 29
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| | 15.1 The Sign Test A Hypothesis Test about the Median
15.2 The Wilcoxon Rank Sum Test
15.3 The Wilcoxon Signed Ranks Test
15.4 Comparing Several Populations Using the Kruskal--Wallis H Test
15.5 Spearman's Rank Correlation Coefficient
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| eBook,
Chapter 15,
chend 30
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| | Appendix 15.1 Nonparametric Methods Using MINITAB
Appendix 15.2 Nonparametric Methods Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 16
Chi-Square Tests |
| | Chapter Opener
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| eBook,
Chapter 16,
chbody 31
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| | 16.1 Chi-Square Goodness of Fit Tests
16.2 A Chi-Square Test for Independence
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| eBook,
Chapter 16,
chend 32
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| | Appendix 16.1 Chi-Square Tests Using MINITAB
Appendix 16.2 Chi-Square Tests Using Excel
Appendix 16.3 Chi-Square Tests Using MegaStat
Chapter Summary
Glossary of Terms
Important Formulas and Tests
Supplementary Exercises
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| eBook,
Chapter 17
Decision Theory |
| | Chapter Opener
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| eBook,
Chapter 17,
chbody 33
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| | 17.1 Bayes' Theorem
17.2 Introduction to Decision Theory
17.3 Decision Making Using Posterior Probabilities
17.4 Introduction to Utility Theory
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| eBook,
Chapter 17,
chend 34
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| | Chapter Summary
Glossary of Terms
Important Formulas
Supplementary Exercises
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