Lecture Notes · Lecture Notes
MIT OpenCourseWare
Statistics and Visualization for Data Analysis and Inference
- Instructors
- Prof. Ed Vul, Prof. Mike Frank
- Term
- January IAP 2009
- Level
- Graduate
- What's inside
- 1 lecture note · 4 other files · 1 web page
- Materials open
- MIT OCW
About this course
Source: MIT OpenCourseWare RES.9-0002 Statistics and Visualization for Data Analysis and Inference, January IAP 2009, Prof. Ed Vul, Prof. Mike Frank — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.
Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.
Before you start
Prerequisites are not listed here. Check MIT's own syllabus for this course.
How this course was organized
What's here, and what isn't
- A lecture sequence of 5 items is confirmed. No assignments or exams were found for this course, so it stays as organized materials rather than a full course order.
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
Course outline
Lecture Notes · Lecture Notes
Lecture 2: Resampling ( PDF ‑ 1.1MB )
Lecture Notes · Lecture Notes
Lecture 3: Distributions ( PDF ‑ 2.2MB )
Lecture Notes · Lecture Notes
Lecture 4: Linear Model ( PDF ‑ 3.5MB )
Lecture Notes · Lecture Notes
Lecture 5: Examples
MIT OpenCourseWare, Prof. Ed Vul, Prof. Mike Frank, RES.9-0002 Statistics and Visualization for Data Analysis and Inference, January IAP 2009.
License: CC BY-NC-SA 4.0 · Edition: January IAP 2009 · Open the original course on OCW ↗
Organized by RedLectern, independent of MIT and not endorsed by MIT.
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