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Discovering Business Statistics, 2nd Edition
Discovering Business Statistics, 2nd Edition
Chapter 1: Decision Making Using Statistics
1.1
Statistics and Global Issues
1.2
Statistics and Quality
1.3
Descriptive Statistics versus Inferential Statistics
1.4
The Value of Statistical Literacy
Chapter 2: Data, Big Data, and Analytics
2.1
Data and Decision Making
2.2
Big Data and Business Analytics
2.3
Data Classifications
2.4
Time Series Data and Cross-Sectional Data
Chapter 3: Organizing, Displaying, and Interpreting Data
3.1
Frequency Distributions
3.2
Displaying Qualitative Data
3.3
Constructing Frequency Distributions for Quantitative Data
3.4
Graphical Displays of Quantitative Data
3.5
Analyzing Graphs
Chapter 4: Numerical Descriptive Statistics
4.1
Measures of Location
4.2
Measures of Dispersion
4.3
Measures of Relative Position
4.4
Data Subsetting
4.5
Analyzing Grouped Data
4.6
Proportions
4.7
Measures of Association Between Two Variables
Chapter 5: Probability, Randomness, and Uncertainty
5.1
Introduction to Probability
5.2
Laws of Probability
5.3
Conditional Probability
5.4
Independence
5.5
Bayes' Theorem
5.6
Counting Techniques
Chapter 6: Discrete Probability Distributions: About the Future
6.1
Types of Random Variables
6.2
Discrete Random Variables
6.3
The Discrete Uniform Distribution
6.4
The Binomial Distribution
6.5
The Poisson Distribution
6.6
The Hypergeometric Distribution
Chapter 7: Continuous Random Variables
7.1
The Uniform Distribution
7.2
The Normal Distribution
7.3
Assessing Normality Graphically
7.4
The Standard Normal Distribution
7.5
Approximations to Other Distributions
Chapter 8: Samples and Sampling Distributions
8.1
Random Samples and Sampling Distributions
8.2
The Distribution of the Sample Mean and the Central Limit Theorem
8.3
The Distribution of the Sample Proportion
8.4
Sampling Methods
Chapter 9: Estimation with Confidence Intervals: Single Sample
9.1
Estimating the Population Mean, Sigma Known
9.2
Estimating the Population Mean, Sigma Unknown
9.3
Estimating the Population Proportion
9.4
Estimating the Population Standard Deviation or Variance
Chapter 10: Hypothesis Testing: Single Sample
10.1
Introduction to Hypothesis Testing
10.2
Testing a Hypothesis about a Population Mean, Sigma Known
10.3
Testing a Hypothesis about a Population Mean, Sigma Unknown
10.4
The Relationship Between Confidence Interval Estimation and Hypothesis Testing
10.5
Testing a Hypothesis about a Population Proportion
10.6
Testing a Hypothesis about a Population Variance
Chapter 11: Inferences about Two Samples
11.1
Comparing Two Population Means, Sigma 1 and Sigma 2 Known
11.2
Comparing Two Population Means, Sigma 1 and Sigma 2 Unknown
11.3
Paired Difference Test
11.4
Comparing Two Population Proportions
11.5
Comparing Two Population Variances
Chapter 12: Analysis of Variance (ANOVA)
12.1
Introduction to Analysis of Variance (ANOVA)
12.2
Assumptions in an ANOVA Test
12.3
The F-Distribution and the F-Test
12.4
Multiple Comparison Procedures
12.5
Two-Way ANOVA: The Randomized Block Design
12.6
Two-Way ANOVA: The Factorial Design
Chapter 13: Regression, Inference, and Model Building
13.1
The Simple Linear Regression Model
13.2
Residual Analysis
13.3
Evaluating the Fit of the Linear Regression Model
13.4
Fitting a Linear Time Trend
13.5
Inference Concerning the Slope
13.6
Inference Concerning the Model's Prediction
Chapter 14: Multiple Regression
14.1
The Multiple Regression Model
14.2
The Coefficient of Determination and Adjusted R^2
14.3
Inference Concerning the Multiple Regression Model and Its Coefficients
14.4
Inference Concerning the Model's Prediction
14.5
Models with Qualitative Independent Variables
14.6
Additional Topics in Multiple Regression
Chapter 15: Time Series Analysis and Forecasting
15.1
Time Series Components
15.2
Moving Averages
15.3
Exponential Smoothing Techniques
15.4
Forecast Accuracy
15.5
Seasonality
Chapter 16: Looking for Relationships in Qualitative Data
16.1
The Chi-Square Distribution
16.2
The Chi-Square Test for Goodness of Fit
16.3
The Chi-Square Test for Association
Chapter 17: Nonparametric Statistics
17.1
The Sign Test
17.2
The Wilcoxon Signed-Rank Test
17.3
The Wilcoxon Rank-Sum Test
17.4
The Rank Correlation Test
17.5
The Runs Test for Randomness
17.6
The Kruskal-Wallis Test
Chapter 18: Statistical Process Control
18.1
Basic Charts and Diagrams Used in Quality Control
18.2
Basic Concepts
18.3
Monitoring with x-Bar and R Charts
18.4
Monitoring with a p Chart
Appendix A: Appendix
A.1
Name that Distribution
A.2
Direct Mail
A.3
Type II Errors
A.4
Games of Chance
Examples
Example A4.1: Expected Value
Example A4.2: Expected Value
Example A4.3: Expected Value