MATH 252: Probability & Statistics II
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NOTE

This is the webpage for a prior semester's section of Probability & Statistics II. If you're looking for information on my most recent section of the course, please go to http://ccrg.rit.edu/~whelan/MATH-252/

Vital Statistics

Lecture Room: GOS(08)-1174
Class Times: Tuesday & Thursday, 09:30-10:45
Required Textbook: Devore, Probability & Statistics for Engineering and the Sciences, Eighth Edition (Brooks-Cole/Cengage, 2012). ISBN 978-0-538-73352-6
Course Webpage: http://ccrg.rit.edu/~whelan/MATH-252/ (this page)
Instructor: Dr. John T. Whelan; LAC(74)-2063, 5-5083; john.whelan@astro.rit.edu or jtwsma@rit.edu
Office Hours (Tentative): TR 11:00-11:50 (GOS-1345) & TR 14:00-14:50 (LAC-2063)
Course outline
Syllabus
Mailing list: discuss-statistics-whelan

Topics and Course Calendar

We will cover most of chapters 6-9 and 12-14 of Devore including to the following topics:

Point and Interval Estimation
Hypothesis Testing
Two-Sample Inference
Regression
Goodness of Fit

Time permitting, we may also cover some of chapter fifteen on non-parametric methods.

A tentative timetable is given in the Course Calendar.

Lecture Notes

Problem Sets

Problem Set 1 -- Due 2016 August 30
- Data for problem 4
Problem Set 2 -- Due 2016 September 8
Problem Set 3 -- Due 2016 September 13
Problem Set 4 -- Due 2016 September 20
- Data for problem 4
Problem Set 5 -- Due 2016 October 4
Problem Set 6 -- Due 2016 October 13
- First data set for problem 4
- Second data set for problem 4
Problem Set 7 -- Due 2016 October 25
- First data set for problem 4
- Second data set for problem 4
Problem Set 8 -- Due 2016 November 1
- First data set for problem 4
- Second data set for problem 4
Problem Set 9 -- Due 2016 November 15
Problem Set 10 -- Due 2016 November 22
Problem Set 11 -- Due 2016 November 29
Problem Set 12 -- Due 2016 December 6
- On-source data for problem 4
- Off-source data for problem 4

Webpages for Prior Related Courses

In past years (on the quarter system) I've taught 1016-345 and 1016-351, which were rough equivalents to MATH 251, the prerequisite for this course.You may find the the associated course materials useful.

Links

R (computing language)
- R tutorial
Python
- SciPy
  - NumPy
  - ipython
- matplotlib
- Bundled distributions of the above python tools (especially useful for Mac & Windows users)
  - Enthought Python Distribution (free academic license, must be renewed annually)
  - Anaconda (basic installation is free)
- Cloud-based python/ipython services:
  - Wakari

Last Modified: 2019 January 14

Dr. John T. Whelan / john.whelan@astro.rit.edu / Professor, School of Mathematical Sciences & Center for Computational Relativity and Gravitation, Rochester Institute of Technology

The contents of this communication are the sole responsibility of Prof. John T. Whelan and do not necessarily represent the opinions or policies of RIT, SMS, or CCRG.

JTW > Courses > MATH 252: Probability & Statistics II [Sitemap]