MATH 252: Probability & Statistics II
[Sitemap]

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)-2305
Class Times: Tuesday & Thursday, 15:30-16:50
Required Textbook: Devore, Probability & Statistics for Engineering and the Sciences, Ninth Edition (Cengage, 2016). ISBN 978-1-305-25180-9
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): MTWR 10:00-11:00
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 2018 January 23
- Data for problem 4
Problem Set 2 -- Due 2018 January 30
Problem Set 3 -- Due 2018 February 6
Problem Set 4 -- Due 2018 February 13
- Data for problem 4
Problem Set 5 -- Due 2018 February 27
- First data set for problem 4
- Second data set for problem 4
Problem Set 6 -- Due 2018 March 6
- First data set for problem 4
- Second data set for problem 4
Problem Set 7 -- Due 2018 March 20
- First data set for problem 4
- Second data set for problem 4
Problem Set 8 -- Due 2018 March 27
Problem Set 9 -- Due 2018 April 10
Problem Set 10 -- Due 2018 April 17
Problem Set 11 -- Due 2018 April 24
- On-source data for problem 4
- Off-source data for problem 4

Webpages for Prior Related Courses

I taught MATH 252 in Fall 2016. Additionally, 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

minitab (RIT download page)
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]