Professor                     John Millson
Class time                    Tu-Th 3:30-4:45

Class location:
        MTH 0407

Office number:
        MTH 2102

Office hours:
        Tuesday  5:00-6:00 (after class)., Thursday   2:30-3:30 (before class)

Phone number:
        301-405-5156

Web address:
        www.math.umd.edu/~jjm

Email:
        jjm@math.umd.edu

Text:
        J.Devore, Probability and Statistics for Engineering and the Sciences (seventh edition)
You will be able to get by with the Sixth Edition except some of the homework problems will have different numbers in the two editions. I will try to give both sets of numbers when the numbers are different.

I also REQUIRE everyone to buy a TI-83 Plus calculator (this does all the calculations we will need for the course). We will also do a number of projects with Minitab.

Your grade will be computed as follows.  There will be two midterms each worth 50 points.  Each Thursday I will assign problems from the text. At the beginning of class the following Thursday I will select one of them, you will do it and hand it in.  From these homework quizzes I will arrive at a homework grade of 50 points.  The final will count 100 points. If you get less than 125 points out of the possible 250 you will get an F.  If you get 125 or more you will get at worst a C in the course.  If you get a course total of 220 points or more or a final examination score of 90 points or more you will get an A. If you get a course total of 175 points or more or a final examination score of 80 points of more you will get at worst a B.

MIDTERM DATES AND INFORMATION Midterm 1 will be on October 25.
Midterm 2 will be on November 29.
FINAL DATES AND INFORMATION
The final will be on December 19 from 10:30 until 12:30.
Download last fall's final here Stat401finalfall06
Download last spring's final here
Stat401finalspring06 center>

HW ASSIGNMENT 12 (Regression problems to get ready for the final)

Make sure you can do the linear regression t-test on your calculator. Do some (or all) of the following questions to get ready for the final.
12.2 #19,20 (a),(b),(c) (save data for 34), 21(b),(c),(d),29.
12.3 #34(b),37.
Work both of last year's finals .
Download last fall's final here Stat401finalfall06
Download last springs final here Stat401finalspring06

COURSE NOTES (to be downloaded by you)

• Handout - The basic probability distributions
  A copy of this handout in pdf format is available right here: distributions


• Handout - A better looking distribution file but without moment generating functions. You should download both handouts.
  A copy of this handout in pdf format is available right here: better looking distribution file


• Handout - Random Samples A copy of this handout in pdf format is available right here: randomsamples


• Lecture 1, Moment Generating Functions.
  A copy of this lecture in pdf format is available right here: momentgeneratingfunctions .


• Lecture 2. - Random Intervals
  A copy of this lecture in pdf format is available right here: RandomIntervals


• Lecture 3. - The Z Confidence Interval
  The pdf file for the lecture on confidence intervals for the mean in a normal distribution when the variance is known is available right here: ZConfidenceIntervals


• Lecture 4. - The Z Prediction Interval
  The pdf file for the lecture on prediction intervals for the next observation from a normal distribution when the variance is known is available right here: ZPredictionIntervals


• Lecture 5. - The T Confidence Interval
  The pdf file for the lecture on confidence intervals for the mean in a normal distribution when the variance is unknown is available right here: TConfidenceIntervals


• Lecture 6. - The T Prediction Interval
  The pdf file for the lecture on prediction intervals for the next observation from a normal distribution when the variance is unknown is available right here: TPredictionIntervals


• Lecture 7. - The z-tests
  The pdf file for the lecture on the z-tests is available right here: ztests


• Lecture 8. - The t-tests
  The pdf file for the lecture on the t-tests is available right here: ttests


• Lecture 9. - The p-value formulas for the z-tests
  The pdf file for the lecture on the p-value for the z-tests is available right here: zpvalue

HW ARCHIVE
All previous homework assignments are archived here HW archive