COURSE SYLLABUS

Ohio Northern University

College of Arts and Sciences

Department of Mathematics

Effective Date: Winter 2005-06

Course: STAT 280 Name: Statistics for Scientists and Engineers

Credit hours: 4 Lecture hours/week: 4 Lab hours/week: 0

Instructor: Staff

Usual student level: Sophomores, Juniors, and Seniors

Course required of students in: School of Engineering

Course frequency per year: Fall, Winter, Spring

Average enrollment per year: 110

This course has a prerequisite: MATH 164

This course can be used a prerequisite for: STAT 256 and 281; STAT 390 (perhaps with instructor permission)

Catalog Description: Basic statistical techniques: random variables and their distributions, estimation, hypothesis testing, and linear regression.

Course Objectives: Learn concepts and models of probability, as well as basic statistical tecniques of confidence intervals and hypothesis testing.

Textbook: Modern Engineering Statistics (1^st ed.) by Lapin (Duxbury Press)

NOTE: TI-83 or TI-86 required.

Outline of content follows: (see attached)

Course Outline

STAT 280

Title: Statistics for Scientists and Engineers

Introduction to Statistics

Descriptive statistics (including graphical methods)

Concepts of probability

Probability distributions (including binomial, hypergeometric, Poisson, geometric, negative binomial, normal, exponential, gamma)

Sampling distributions

Point estimation, confidence intervals, and hypotheses tests:

for a single mean

for the difference between two means (independent and paired samples)

for the equality of two variances

for a single proportion (using normal approximation)

Experimental design (completely randomized vs. randomized block designs)

Simple linear regression and correlation

Least squares estimation

Inferences for regression parameters (including ANOVA approach)

Remarks

1. For hypothesis testing, use the P-value approach only.

2. Do not use the hypothesis testing functions of the calculator to conduct hypothesis tests.