Textbook
Dennis J. Sweeney, Thomas A. Williams and David R. Anderson. Fundamentals of Business Statistics. Fifth Edition, 2009.
Course Contents
1.1 - 1.2 Applications in Business and Economics
1.3 Data Sources
1.4 Descriptive Statistics
2.1 Tabular and Graphical Presentations
2.2 Summarizing Quantitative Data
2.3 The Stem and Leaf Display
2.4 Cross-Tabulations and Scatter Diagrams
3.1 Measures of Location
3.2 Measures of Variability
3.3 Measures of Distribution Shape
3.4 Exploratory Data Analysis
3.5 Measures of Association Between Two Variables
3.6 The Weighted Mean and Grouped Data
4.1 Experiments and Counting Rules
4.2 Events and their Probabilities
4.3 Some Basic Relationships of Probability
4.4 Conditional Probabilities
5.1 Random Variables
5.2 Discrete Probability Distribution
5.3 Expected Value and Variance
5.4 Binomial Probability Distribution
5.5 Poisson Probability Distribution
6.1 Uniform Probability Distribution
6.2 Normal Probability Distribution
6.3 Normal Approximation of Binomial Probabilities
6.4 Exponential Probability Distribution
7.1 Sampling
7.2 Selected a Sample
7.3 Point Estimation
7.4 Introduction to Sampling Distribution
7.5 Sampling Distribution of the Sample Mean
7.6 Sampling Distribution of the Sample Proportion
7.7 Sampling Methods
8.1 Population Mean when Sigma is Known
8.2 Population Mean when Sigma is Unknown
8.3 Determining the Sample Size
8.4 Population Proportion
9.1 Null and Alternative Hypothesis
9.2 Type I and II Errors
9.3 Hypothesis Testing about Population Mean when Sigma is Known
9.4 Hypothesis Testing about Population Mean when Sigma is Unknown
9.5 Hypothesis Testing about Proportion