Lectures (Video)

- 1. Introduction, Histograms
- 2. Average, Median
- 3. Standard Deviation, Normal Approximation
- 4. Correlation
- 5. More Correlation
- 6. Regression
- 7. RMS Error
- 8. Regression Line
- 9. Observation Studies, Experiments
- 10. Review 1
- 11. Review II
- 12. Probability I
- 13. Probability II
- 14. Box Models
- 15. Expected Value, Standard Error
- 16. Normal approximation, Continuity Correction
- 17. Sampling
- 18. More on Standard Error
- 19. Review III
- 20. Confidence Intervals
- 21. Confidence Intervals for Avg
- 22. Hypothesis Testing
- 23. T Test
- 24. Sample Z-test
- 25. More Hypothesis Testing
- 26. Review IV
- 27. Review V

## Introduction to Statistics

### Course Summary

This course is based on

Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests. The lectures were conducted by Prof. Hank Ibser at University of California, Berkeley in Fall 2007.
*Stats 2 Introduction to Statistics, Fall 2007*made available by*University of California, Berkeley: Webcast.Berkeley*under the*Creative commons BY-NC-ND 2.5*license.### Reading Material

1.**Textbook (Berkeley): Statistics (4th Edition)**

Freedman, Pisani and Purves, Statistics (4th Edition), W. W. Norton, 2007

2.

**Collaborative Statistics**

Illowsky, B., & Dean, S. 2009. Collaborative Statistics. Connexions, January 16, 2009.

Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two- and four-year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it.

(This free ebook can be viewed online and downloaded at the above link.)

### Course Material

Not available.### Other Resources

Not available.### Software

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