# Statistics for Applications

Local linear smoothing models of freeway-lane congestion, from Lecture 15. (Image by Dr. Peter J. Kempthorne.)

### Instructor(s)

Dr. Peter Kempthorne

### MIT Course Number

18.650 / (formerly 18.443)

### As Taught In

Spring 2015

### Level

Undergraduate

###

Some Description
Instructor(s) | Prof.
As Taught In | Spring 2002
Course Number | 2.24
Level | Undergraduate/Graduate
Features | Lecture Notes, Student Work

## Course Description

## Course Features

- Lecture notes
- Projects (no examples)
- Assignments: problem sets with solutions

## Course Description

This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics.

## Other Versions

## Other OCW Versions

OCW has published multiple versions of this subject.

- 18.650 Statistics for Applications (Fall 2016)
- 18.650 Statistics for Applications (formerly 18.443) (Fall 2006)
- 18.650 Statistics for Applications (formerly 18.443) (Fall 2003)

Archived versions:

- 18.443 Statistics for Applications (Spring 2009)

## Related Content

## Course Collections

See related courses in the following collections:

### Find Courses by Topic

- Applied Mathematics
- Probability and Statistics
- Discrete Mathematics

Peter Kempthorne. 18.650 Statistics for Applications. Spring 2015. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

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