QSCI 381: Introduction to Statistics
 Prof. Krishna Rustagi

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QSCI 381B: Introduction to probability and statistics

Instructor: Krishna P. Rustagi (685-0877)
5 Anderson
email krishna@u.washington.edu

Office Hours: 10:30 - 11:20 (Mon, Thu), or by appointment

T.A.; Shizhen Wang
(swang@biostat.washington.edu)

Text: Freund & Simon: Modern Elementary Statistics (tenth edition) (optional but strongly recommended)

Lecture notes (Ave Copy Center 4141 University Way)

Course Outline:

Topic

chapter

day(s)

Introduction

1

2

Data summary, display and descriptive statistics

2-4

5

Possibilities & probabilities

5,6

4

Mathematical expectation

7

2

Probability distributions: binomial, poisson & normal

8,9

3

Sampling & sampling distributions

10

3

Inferences: means

11,13

6

variance & standard deviation

12

3

categorical data

15,16

6

regression & correlation

15,16

4

One day each week (Wednesday) will be used as a problem solving session and for resolving problems encountered with Minitab computer software.

Homework problems will be assigned periodically and will be due in a week. These will be graded.

The course grade will be based on homework (20%), two midterm tests (40%) and a final (40%). The final numeric grade will be computed out of the maximum possible weighted score of 100 as follows:

Grade = [{weighted score - 50}/15] +1

Thus a total weighted score of 80 will yield a numeric grade of 3.0. A score ³ 95 will earn 4.0.

Other Links:

UW Libraries

Contact: Krishna Rustagi at krishna@u.washington.edu

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