*This preview shows
pages
1–3. Sign up
to
view the full content.*

IEng/Math 381: Introduction to Probability
Finding Your Instructor
Roger Johnson ("Roger" or "Mr. Johnson" is fine), McLaury 308 (inner office)
email: [email protected],
web: http://www.mcs.sdsmt.edu/~rwjohnso,
394-2471 (math/cs office)
Office Hours
MWF 10:00-11:00 and 1:30-2:30
and by Appointment
Class meetings are M,W,F in Classroom Building 203 August 31 through December 9 with
holidays on September 5, September 16 (M-Day), October 10, and November 11,24,25. The last
day to drop for 100% refund is September 8; the last day to drop with a 'W' is November 15. The
final exam will be held Monday, December 12 from 2:00 - 3:50 (department policy is that
no
early final exams may be given
).
Prerequisites
Math 225, Calculus III, should be taken prior to or simultaneously with this class.
Course Description
(From the catalog) IEng/Math 381: Introduction to probability, discrete and continuous
distributions, sampling distributions and central limit theorem, general principles for statistical
inference.
Tentative
text sections include, but are not limited to: Chapters 1,2,3,4, Section 5.4,5.5, Section
7.2, Section 8.2
Large-Sample Tests
only (p. 326 - p. 327), Section 8.3 - "Large-Sample
Test" only (p. 334 - p. 336), Section 14.1
(omit pp. 622-623).
Text Book & Course Materials

This
** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up* Required
:
Probability and Statistics for Engineering and the Sciences
, 2004, 6th edition, by Jay Devore,
ISBN 0-534-39933-9 ($122 new, $98 used @SDSMT bookstore).
Recommended
:
Student Solutions Manual for Devore's Probability and Statistics for Engineering and the
Sciences
, by Julie Seely, ISBN 0-534-39934-7 ($36.50 @SDSMT bookstore).
Some problem solutions may be found
here
Resources
•
Your instructor (please use my office hours)!
•
Tech Learning Center (TLC) - Go to bottom floor of the Devereaux Library; upon
leaving the stairwell head to the right corner (a computer lab) - the TLC is in a room
inside of the computer lab
•
Aug 31: Computing chances in the equally-likely outcome case.
•
Sept 2: Ice cream cones and counting with binomial coefficients. Lotteries (and handout).
HW: Work through the remaining 'Dakota Cash' examples.
•
Sept 5: Holiday
•
Sept 7: Start reading Sections 2.1 - 2.3. HW: 2.3 - 29,31,36,38.
•
Sept 9: Continue reading Sections 2.1 - 2.3.

This is the end of the preview. Sign up
to
access the rest of the document.