Applied Mathematics 4570/5570

Statistical Methods

Spring 2010

MWF 12-12:50 p.m., ECCR 1B51

Instructor: Amy Biesterfeld
Office: ECOT 242
E-mail: abiester@colorado.edu
Office Hours: MWF 11-11:45 am, 1-1:45 pm

I'm excited to be teaching Statistical Methods. The material is so interesting, and I love that statistics can be applied to any area of science or business. Statistics is truly an "Applied Math." I hope you'll enjoy and appreciate this topic too by the end of the semester!

Course Information

Course Syllabus

Homework Assignments and Solutions

Additional Homework Assignments for 5570 students:

HW #1: Due Monday, Feb. 15.
HW #2: Due Friday, April 9.
HW #3: Due Friday, April 30.

Exams

Midterm I: Wednesday, February 17, 12-12:50 pm, HUMN 250 (click here for campus map showing Eaton Humanities building).

Copy of Exam 1 and Solutions.
Practice Problems (Here are the SOLUTIONS , but don't look until you're ready!)

Formula Sheet

You will also be given the Normal Probability Table for the exam (Table A.3, p. 751-752 in book). You may use a calculator during the exam, but you will need to show all of your work (including intermediate steps) to receive full credit.

Midterm II: Wednesday, April 7, 12-12:50 pm, HUMN 250 (click here for campus map showing Eaton Humanities building).

Copy of Exam 2 and Solutions.
Practice Problems NOTE: You can skip #11(c)! (Here are the SOLUTIONS, but don't look until you're ready!)
Formula Sheet that will be provided for the exam
You will also be given four distribution tables: Normal, t, Chi-Square, and F. You may use a calculator during the exam, but you will need to show all of your work (including intermediate steps) to receive full credit.

Final Exam: Saturday, May 1, 7:30-10:00 pm, ECCR 245. (Note the different room location from our midterm exams)

The exam is cumulative and will cover material since the beginning of the semester, including lab assignments (reading and interpreting SPSS output, but not how to generate the output).

Practice Problems (The solutions are now posted). Note that, although the exam is cumulative, these practice problems only cover the lecture material since Midterm II that you have not been tested on yet. See above for practice problems from Midterm I and Midterm II material.
Formula Sheet that will be provided for the exam which has some linear regression formulas (no formulas for Goodness-of-Fit Test or Test of Independence). You will also be given the formula sheets used for Midterm I and Midterm II (see above).
You will also be given four distribution tables: Normal, t, Chi-Square, and F. You may use a calculator during the exam, but you will need to show all of your work (including intermediate steps) to receive full credit.

SPSS Handouts/Labs: Note that the late homework policy does not apply to SPSS labs... SPSS labs will not be accepted after the due date!

Introduction to SPSS. If you would like to generate the output seen in this handout, you can download the Cars_4cylinder.sav data set.
Lab 1 Assignment: Due Wednesday, February 24, in class. The three data sets you will need for Lab 1 are

Using SPSS for Statistical Inference. If you would like to generate the output seen in this handout, you can download the stat_class_grades.sav data set.
Lab 2 Assignment: Due Wednesday, April 14, in class. The four data sets you will need for Lab 2 are

Simple Linear Regression on SPSS. To generate the output seen in this handout, download the cotton_damage.sav data set.
Test of Independence on SPSS. To generate the output seen in this handout, download the autoaccidents.sav data set.
Lab 3 Assignment: Due Friday, April 30, in class. The two data sets you will need for Lab 3 are

ch11_problem5.sav
SARS.sav (Note: This is a large data set, so it will take longer to download, and possibly run SPSS commands on.)

Statistics on the Web

Several interesting sources of statistical articles, data and information.

The R Project for Statistical Computing, a FREE statistical software package available for downloading. Versions available for the Unix, Windows and Mac families of operating systems.
The Data and Story Library maintained by StatLib and the Carnegie Mellon University Statistics Department.
The Chance database welcome page
The Journal of Statistical Education
The Gallup Organization
The StatLib Index
PSPP , a statistical software package similar to SPSS under development by the Free Software Foundation.
CU-Boulder Statistics

Some of the many sources of governmental and worldwide statistics on the web include:

and many other links from these sites.

Send comments/suggestions to Amy Biesterfeld.