Chapter 1: What is Statistics?
Chapter 2: Graphical Descriptive Techniques ISection 2.1:
Types of Data and Information
Section 2.2:
Describing a Set of Nominal Data
Section 2.3:
Describing the Relationship between Two Nominal Variables and Comparing Two or More Nominal Data Sets
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Exercises
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Exercises
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Exercises
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Exercises
Chapter 3: Graphical Descriptive Techniques IISection 3.1:
Graphical Techniques to Describe a Set of Interval Data
Section 3.2:
Describing Time-Series Data
Section 3.3:
Describing the Relationship between Two Interval Variables
Section 3.4:
Art and Science of Graphical Presentations
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Exercises
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Exercises
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Case 1Page 93:
Case 2Page 61:
Exercises
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Exercises
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Exercises
Chapter 4: Numerical Descriptive TechniquesSection 4.1:
Measures of Central Location
Section 4.2:
Measures of Variability
Section 4.3:
Measures of Relative Standing and Box Plots
Section 4.4:
Measures of Linear Relationship
Section 4.6:
(Optional) Applications in Finance: Market Model
Section 4.7:
Comparing Graphical and Numerical Techniques
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Exercises
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Exercises
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Case 1Page 155:
Case 2Page 155:
Case 3Page 155:
Case 4Page 103:
Exercises
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Exercises
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Exercises
Chapter 5: Data Collection And SamplingSection 5.1:
Methods of Collecting Data
Section 5.2:
Sampling
Section 5.3:
Sampling Plans
Section 5.4:
Sampling and Nonsampling Errors
Section 6.1:
Assigning Probability to Events
Section 6.2:
Joint, Marginal, and Conditional Probability
Section 6.3:
Probability Rules and Trees
Section 6.4:
Bayes’s Law
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Exercises
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Exercises
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Case 2Page 210:
Case 1Page 210:
Exercises
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Case 3Page 212:
Case 4Page 212:
Case 5Page 176:
Exercises
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Exercises
Chapter 7: Random Variables and Discrete Probability DistributionsSection 7.1:
Random Variables and Probability Distributions
Section 7.2:
Bivariate Distributions
Section 7.3:
(Optional) Applications in Finance: Portfolio Diversification and Asset Allocation
Section 7.4:
Binomial Distribution
Section 7.5:
Poisson Distribution
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Exercises
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Exercises
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Case 1Page 222:
Exercises
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Exercises
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Exercises
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Exercises
Chapter 8: Continuous Probability DistributionsSection 8.1:
Probability Density Functions
Section 8.2:
Normal Distribution
Section 8.3:
(Optional) Exponential Distribution
Section 8.4:
Other Continuous Distributions
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Exercises
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Exercises
Exercise 1a
Exercise 1b
Exercise 1c
Exercise 1d
Exercise 3a
Exercise 3b
Exercise 3c
Exercise 3d
Exercise 4a
Exercise 4b
Exercise 4c
Exercise 4d
Exercise 6a
Exercise 6b
Exercise 6c
Exercise 7
Exercise 11a
Exercise 11b
Chapter 9: Sampling DistributionsSection 9.1:
Sampling Distribution of the Mean
Section 9.2:
Sampling Distribution of a Proportion
Section 9.3:
Sampling Distribution of the Difference between Two Means
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Exercises
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Exercises
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Exercises
Chapter 10: Introduction to EstimationSection 10.1:
Concepts of Estimation
Section 10.2:
Estimating the Population Mean When the Population Standard Deviation Is Known
Section 10.3:
Selecting the Sample Size
Chapter 11: Introduction to Hypothesis TestingSection 11.1:
Concepts of Hypothesis Testing
Section 11.2:
Testing the Population Mean When the Population Standard Deviation Is Known
Section 11.3:
Calculating the Probability of a Type II Error
Chapter 12: Inference About a PopulationSection 12.1:
Inference about a Population Mean When the Standard Deviation Is Unknown
Section 12.2:
Inference about a Population Variance
Section 12.3:
Inference about a Population Proportion
Section 12.4:
(Optional) Applications in Marketing: Market Segmentation
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Exercises
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Exercises
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Exercises
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Exercises
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Case 1Page 435:
Case 2Page 436:
Case 4Page 436:
Case 5Page 436:
Case 3Page 395:
Exercises
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
Chapter 13: Inference about Comparing Two PopulationsSection 13.1:
Inference about the Difference between Two Means: Independent Samples
Section 13.2:
Observational and Experimental Data
Section 13.3:
Inference about the Difference between Two Means: Matched Pairs Experiment
Section 13.4:
Inference about the Ratio of Two Variances
Section 13.5:
Inference about the Difference between Two Population Proportions
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 6a
Exercise 6b
Exercise 6c
Exercise 6d
Exercise 6e
Exercise 6f
Exercise 6g
Chapter 14: Analysis of VarianceSection 14.1:
One-Way Analysis of Variance
Section 14.2:
Multiple Comparisons
Section 14.4:
Randomized Block (Two-Way) Analysis of Variance
Section 14.5:
Two-Factor Analysis of Variance
Section 14.6:
(Optional) Applications in Operations Management: Finding and Reducing Variation
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Exercises
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Exercises
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Exercises
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Case 1Page 533:
Exercises
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Exercises
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Exercises
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Exercises
Chapter 15: Chi-Squared TestsSection 15.1:
Chi-Squared Goodness-of-Fit Test
Section 15.2:
Chi-Squared Test of a Contingency Table
Section 15.4:
(Optional) Chi-Squared Test for Normality
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
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Exercises
Chapter 16: Simple Linear Regression and CorrelationSection 16.2:
Estimating the Coefficients
Section 16.3:
Error Variable: Required ConditionsSection 16.4:
Assessing the Model
Section 16.5:
Using the Regression Equation
Section 16.6:
Regression Diagnostics—I
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Exercises
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Exercises
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Exercises
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Case 1Page 678:
Case 2Page 638:
Exercises
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Exercises
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Exercises
Chapter 17: Multiple RegressionSection 17.2:
Estimating the Coefficients and Assessing the Model
Section 17.3:
Regression Diagnostics—II
Section 17.4:
Regression Diagnostics—III (Time Series)
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Case 1Page 720:
Case 2Page 700:
Exercises
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Exercises
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Chapter A 13: Review of Chapters 12 and 13Page 515:
Exercises
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Exercises
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Exercises
Chapter A 14: Review of Chapters 12 to 14Page 587:
Exercises
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Exercises
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Chapter A 15: Review of Chapters 12 to 15Page 623:
Exercises
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Exercises
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Exercises
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Case 1
Chapter A 16: Review of Chapters 12 to 16COMING SOON
Chapter A 17: Review of Chapters 12 to 17COMING SOON
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