2011)

Probability and Statistics

Lesson n. 1: Introduction		Eleni Tsolaki
Lesson n. 2: Sample Space and Events		Eleni Tsolaki
Lesson n. 3: Set Theory and Operations		Eleni Tsolaki
Lesson n. 4: Definition of Probability		Eleni Tsolaki
Lesson n. 5: Counting Techniques		Eleni Tsolaki
Lesson n. 6: Conditional Probability		Eleni Tsolaki
Lesson n. 7: Independence and Bayes Theorem		Eleni Tsolaki
Lesson n. 8: Discrete Random Variables		Eleni Tsolaki
Lesson n. 9: Continuous Random Variables		Eleni Tsolaki
Lesson n. 10: Cumulative Distribution Function		Eleni Tsolaki
Lesson n. 11: Expectation and Variance		Eleni Tsolaki
Lesson n. 12: Joint Probability Function		Eleni Tsolaki
Lesson n. 13: Conditional Probability Function		Eleni Tsolaki
Lesson n. 14: Conditional Expectation		Eleni Tsolaki
Lesson n. 15: Some Discrete Distributions		Eleni Tsolaki
Lesson n. 16: Some Continuous Distributions		Eleni Tsolaki
Lesson n. 17: Graphical Methods for Describing		Eleni Tsolaki
Lesson n. 18: Describing Data with Numbers		Eleni Tsolaki
Lesson n. 19: Statistical Inference		Eleni Tsolaki
Lesson n. 20: Confidence Intervals for One Sample		Eleni Tsolaki
Lesson n. 21: Confidence Intervals for Two Samples		Eleni Tsolaki
Lesson n. 22: Hypothesis Testing - One Sample		Eleni Tsolaki
Lesson n. 23: Hypothesis Testing - Two Samples		Eleni Tsolaki
Lesson n. 24: Linear Regression		Eleni Tsolaki
Lesson n. 25: Regression Assumptions		Eleni Tsolaki