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 6

Get the Flash Player to view video.
Lecture 6 - The Normal Distribution
The normal, a continuous distribution, is the most important of all the distributions. It is widely used and even more widely abused. Its graph is bell-shaped. You see the bell curve in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some of your instructors may use the normal distribution to help determine your grade. Most IQ scores are normally distributed. Often real estate prices fit a normal distribution. The normal distribution is extremely important but it cannot be applied to everything in the real world. This lecture covers the normal distribution, the standard normal, and many application associated with them.
Dr. Barbara Illowsky, Susan Dean
Collaborative Statistics (Connexions) http://cnx.org Date accessed: 2009-01-17 License: Creative Commons Attribution 2.0 |