(NOTE:Each chapter concludes with “Quick Review.” )
Statistics, Data, and Statistical Thinking
The Science of Statistics
Types of Statistical Applications in Business
Fundamental Elements of Statistics
Processes (Optional)
Types of Data
Collecting Data
The Role of Statistics in Managerial Decision-Making
Methods for Describing Sets of Data
Describing Qualitative Data
Graphical Methods for Describing Quantitative Data
Summation Notation
Numerical Measures of Central Tendency
Numerical Measures of Variability
Interpreting the Standard Deviation
Numerical Measures of Relative Standing
Methods for Detecting Outliers (Optional)
Graphing Bivariate Relationships (Optional)
The Time Series Plot (Optional)
Distorting the Truth with Descriptive Techniques
Probability
Events, Sample Spaces, and Probability
Unions and Intersections
Complementary Events
Additive Rule and Mutually Exclusive Events
Conditional Probability
The Multiplicative Rule and Independent Events
Random Sampling
Random Variables and Probability Distributions
Two Types of Random Variables
Probability Distributions for Discrete Random Variables
The Binomial Distribution
The Poisson Distribution (Optional)
Probability Distributions for Continuous Random Variables
The Uniform Distribution (Optional)
The Normal Distribution
Descriptive Methods for Assessing Normality
Approximating a Binomial Distribution with a Normal Distribution (Optional)
The Exponential Distribution (Optional)
Sampling Distributions
The Central Limit Theorem
Inferences Based on a Single Sample: Estimation with Confidence Intervals
Large-Sample Confidence Interval for a Population Mean
Small-Sample Confidence Interval for a Population Mean
Large-Sample Confidence Interval for a Population Proportion
Determining the Sample Size
Inferences Based on a Single Sample: Tests of Hypothesis
The Elements of a Test of Hypothesis
Large-Sample Test of Hypothesis about a Population Mean
Observed Significance Levels:p-Values
Small-Sample Test of Hypothesis about a Population Mean
Large-Sample Test of Hypothesis about a Population Proportion
A Nonparametric Test about a Population Median (Optional)
Comparing Population Means
Comparing Two Population Means: Independent Sampling
Comparing Two Population Means: Paired Difference Experiments
Determining the Sample Size
Testing the Assumption of Equal Population Variances (Optional)
A Nonparametric Test for Comparing Two Populations: Independent Sampling (Optional)
A Nonparametric Test for Comparing Two Populations: Paired Differences Experiment (Optional)
Comparing Three or More Population Means: Analysis of Variance (Optional)
Comparing Population Proportions
Comparing Two Population Proportions: Independent Sampling
Determining the Sample Size
Comparing Population Proportions: Multinomial Experiment
Contingency Table Analysis
Simple Linear Regression
Probabilistic Models
Fitting the Model: The Least Squares Approach
Model Assumptions
An Estimator of 聟s2
Assessing the Utility of the Model: Making Inferences about the Slope 聟b1
The Coefficient of Correlation
The Coefficient of Determination
Using the Model for Estimation and Prediction
Simple Linear Regression: A Complete Example
A Nonparametric Test for Correlation (Optional)
Introduction to Multiple Regression