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Lecture Notes



Lecture Notes

The lecture notes reference the 15.075 course textbook: Statistics and Data Analysis from Elementary to Intermediate by Ajit C. Tamhane and Dorothy D. Dunlop, Prentice Hall, 2000. They also occasionally refer to: Casella, George, and Roger L. Berger. Statistical Inference. Belmont, CA: Duxbury Press, 1990.

Some slides were prepared by or based on slides by: Prof. Roy Welsch (MIT), Prof. Gordon Kaufman (MIT), Prof. Jacqueline Telford (Johns Hopkins University), and Prof. Ramón León (University of Tennessee). These contributions have been acknowledged on the first slide of each lecture.


LEC #TOPICS
1Introduction and Collecting Data (PDF)
2Summarizing and Exploring Data (PDF - 1.4 MB)
3Summarizing and Exploring Data (See PDF file in Lecture 2)
4Review of Probability (PDF)
5Sampling Distributions (PDF)
6Basic Concepts of Inference (PDF)
7Inference for Single Samples (PDF)
8Inference for Two Samples (PDF)
9Inference for Proportion and Count Data (PDF)
10Review and Examples (PDF)

Inference in a Nutshell (PDF)
11Midterm Exam
12Simple Linear Regression and Correlation (PDF)
13Simple Linear Regression and Correlation (See PDF file for Lecture 12)
14Multiple Linear Regression (PDF)
15Multiple Linear Regression (See PDF file for Lecture 14)

Logistic Regression (PDF)

Regression Review and Robust Regression (PDF)
16ANOVA - single factor (PDF)
17ANOVA - single factor (See PDF file for Lecture 16)
18ANOVA - multifactor (PDF)
19ANOVA - multifactor (See PDF file for Lecture 18)
20Nonparametric Methods (PDF)
21Nonparametric Methods (See PDF file for Lecture 20)
22Special Topics
23Special Topics
24Review and Examples (PDF)
25Final Exam



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