Lectures (Video)
- 1. Sampling and Data
- 2. Descriptive Statistics
- 3. Probability Topics
- 4. Discrete Distributions
- 5. Continuous Random Variables
- 6. The Normal Distribution
- 7. The Central Limit Theorem
- 8. Confidence Intervals
- 9. Hypothesis Testing - Single Mean and Single Proportion
- 10. Hypothesis Testing - Two Means, Two Proportions, Paired Data
- 11. The Chi-Square Distribution
- 12. Linear Regression and Correlation
Introduction to Statistics II - Lecture 5
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Lecture 5 - Continuous Random Variables
Continuous random variables have many applications. Baseball batting averages, IQ scores, the length of time a long distance telephone call lasts, the amount of money a person carries, the length of time a computer chip lasts, and SAT scores are just a few. The field of reliability depends on a variety of continuous random variables. This lecture gives an introduction to continuous random variables and the many continuous distributions.
Dr. Barbara Illowsky, Susan Dean
Collaborative Statistics (Connexions) http://cnx.org Date accessed: 2009-01-17 License: Creative Commons Attribution 2.0 |
