JTW > Courses > MATH 252: Probability & Statistics II
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Vital Statistics

Lecture Room

GLE(09)-1159

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

TR 10:00-11:50

Course outline

Syllabus

Mailing list

discuss-statistics-whelan

Topics and Course Calendar

We will cover most of chapters 6-10 and 12-14 of Devore including to the following topics:

• Point and Interval Estimation
• Hypothesis Testing
• Two-Sample Inference
• One-way ANOVA
• Regression
• Goodness of Fit

A tentative timetable is given in the Course Calendar.

Lecture Notes

• Chapter Six: Point Estimation
• Chapter Seven: Interval Estimation
  • Notebook illustrating confidence intervals: [ipython] [html]
• Chapter Eight: Tests of Hypotheses Based on a Single Sample
• Chapter Nine: Inferences Based on Two Samples
• Chapter Ten: The Analysis of Variance
  • Guest lecture on multiple comparisons:
    • slides
    • data
    • R script
    • plotting script
    • R output
• Chapter Twelve: Simple Linear Regression and Correlation
• Chapter Fourteen: Goodness-of-Fit Tests and Categorical Data Analysis

Problem Sets

• Problem Set 1 -- Due 2019 January 22
  • Data for problem 4
• Problem Set 2 -- Due 2019 January 29
  • Small data set for problem 4
  • Large data set for problem 4
  • Resampled data set for problem 4
• Problem Set 3 -- Due 2019 February 7
• Problem Set 4 -- Due 2019 February 14
  • Data for problem 4
• Problem Set 5 -- Due 2019 February 28
  • First data set for problem 4
  • Second data set for problem 4
• Problem Set 6 -- Due 2019 March 7
  • First data set for problem 4
  • Second data set for problem 4
• Problem Set 7 -- Due 2019 March 21
• Problem Set 8 -- Due 2019 March 28
  • First data set for problem 4
  • Second data set for problem 4
• Problem Set 9 -- Due 2019 April 11
• Problem Set 10 -- Due 2019 April 18
• Problem Set 11 -- Due 2019 April 25

Webpages for Prior Related Courses

I taught MATH 252 in Fall 2016 and Spring 2018. 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.

• MATH 252: Probability and Statistics II (Spring 2018)
  • quizzes and exams (password protected)
• MATH 252: Probability and Statistics II (Fall 2016)
  • quizzes and exams (password protected)
• 1016-345: Probability and Statistics for Engineers (Spring Quarter 2013)
• 1016-345: Probability and Statistics for Engineers (Fall Quarter 2012)
• 1016-351: Probability (Winter Quarter 2011-2012)
• 1016-351: Probability (Fall Quarter 2011)
• 1016-345: Probability and Statistics for Engineers (Winter Quarter 2010-2011)
• 1016-351: Probability (Spring Quarter 2010)
• 1016-351: Probability (Winter Quarter 2009-2010)

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