Introductory Statistics for Economics

Course Syllabus

• Populations vs. Samples — populations and subset samples
• Population Parameters vs. Sample Statistics
• Pictorial Methods in Descriptive Statistics
• Measures of Location — mean, median, mode
• Measures of Variability — range, variance, standard deviation
• Sample Spaces and Events — simple, compound, mutually exclusive, exhaustive
• Probability Axioms and Properties — Kolmogorov axioms, addition and complement rules
• Counting Techniques — permutations, combinations, fundamental principle
• Conditional Probability and Bayes' Rule
• Independence — definition and properties
• Defining Random Variables
• Probability Distributions
• Expected Values
• Functions of Random Variables
• Properties of Discrete Distributions — Uniform, Binomial, Poisson, Hypergeometric
• Properties of Continuous Distributions — Uniform, Exponential, Normal
• Density and Distribution Functions for jointly distributed random variables

Reference Books

• Devore, J. (2012). Probability and Statistics for Engineers, 8th ed. Cengage Learning.
• Hogg, R., Tanis, E., Zimmerman, D. (2021). Probability and Statistical Inference, 10th ed. Pearson.

Who Will Teach You