QSCI 482, Autumn 2003
Statistical Inference for Applied Research I

  Instructor: Dr. Loveday L. Conquest  (LLC) (conquest@u.washington.edu)

TAs: Maureen Kennedy (mkenn@u.washington.edu), Bert Loosmore (nhl@u.washington.edu)

LLC Office: 116N, Director's Suite, New Fisheries Science Bldg (1122 NE Boat St.), phone 221-7966

LLC Office Hours: available via e-mail and by appointment

TA Office: 208 Winkenwerder

TA Office Hours: available via e-mail and by appointment (extra hours before exams)
Wednesdays 11-12
Thursdays 9:30-11:30, 1:30-2:30
Fridays 9:30-4:45

Class Location and Times: Mary Gates Hall 241, MW 4:30-6:50 (Note: no class Wed. Nov 26)

Course Evaluation:  3 exams; open book, notes and calculator required

                                      Homework (total homework grade counts as 25% of total grade

Grades:         Percentages              Minimum Grades

                        95-100                        3.7-4.0

91-94                                                    3.4-3.6

85-90                                                    3.0-3.3

80-84                                                    2.7-2.9

76-79                                                    2.4-2.6

70-75                                                    2.0-2.3

65-69                                                    1.7-1.9

Textbook: Zar, J.H. 1999. Biostatistical Analysis, 4^th Edition, Prentice Hall.

Lecture Notes: Available at the "AVE" Copy Center. 4141 University Way NE, 633-1837. Open 8-midnight weekdays, 10-7 weekends.

Prerequisites: Any introductory statistics course (or equivalent experience); working knowledge of Chapters 1-5 in Zar and basic probability distributions.

Policies: Exam conflicts--prior permission and arrangements.

               Late homeworks--no credit without prior arrangements.

Academic Integrity
Plagiarism, cheating, and other misconduct are serious violations of your contract as a student. We expect that you will know and follow the University's policies on cheating and plagiarism . Any suspected cases of academic misconduct will be handled according to University regulations. More information, including definitions and examples of Academic Misconduct, can be found here

Disability Accommodations
To request academic accommodations due to a disability, please contact Disabled Student Services, 448 Schmitz, (206)543-8924 (V/TTY). If you have a letter from Disabled Student Services indicating that you have a disability which requires academic accommodations, please present the letter to the course instructor so we can discuss the accommodations you might need in this class.

Computing: Try the new link on the left margin for statistical resources on the web.
SPSS for Windows (available in the MGH PC Lab, FISH PC Lab).
SPSS Lab sheet

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