ENGR 222 Probability and Statistics for Engineers (3)

 

Required course for all engineering majors.

 

Catalog Description:

An introduction to probability and statistical methods with application to engineering problems.  Discrete and

continuous distributions, numerical measures, elementary sampling, point estimation, interval estimation, and

hypothesis testing are presented.  Lecture 3 hours.  Every semester.  Second semester sophomore year.

 

Prerequisites:

ENGR 224 or 225 with grade of C or better.  Mathematics 161/162.

 

Textbook/References:

Applied Statistics for Engineers and Scientists, Devore and Farnum, 1999, Brooks/Cole Publishing Co.

Software – Minitab

 

Course Objectives:

To enhance students working knowledge of the intent and use of statistical theory and methods with

applications directed at science and engineering.

 

Students completing ENGR 222 will:

  1. Demonstrate knowledge and understanding of the principles of effective sampling and data collection. (3)
  2. Demonstrate knowledge and understanding of univariate, bivariate and multivariate data. (1)
  3. Demonstrate knowledge and understanding of discrete and continuous distributions. (1)
  4. Demonstrate knowledge and the ability to apply and interpret numerical summary measures. (1)
  5. Demonstrate knowledge and the ability to apply and interpret probability and sampling distributions. (1)
  6. Demonstrate knowledge and the ability to apply point and interval estimation. (1)
  7. Demonstrate knowledge and application of testing statistical hypotheses. (3)
  8. Demonstrate knowledge of the principles of effective experimental design. (3)
  9. Demonstrate the ability to utilize statistical software for problem solution. (3)

 

Class/Laboratory Schedule:

Lecture either three times per week at 50 minutes per class, or two times per week at 75 minutes per class.

 

Topics Covered:

 

Week              Topic

1.                        Obtaining Data

2.                        Obtaining Data/Minitab Introduction

3.                        Data and Distributions

4.                        Data and Distributions

5.                        Numerical Summary Measures

6.                        Numerical Summary Measures/Minitab

7.                        Bivariate and Multivariate Data and Distributions

8.                        Bivariate and Multivariate Data and Distributions/Minitab

9.                        Probability and Sampling Distributions

10.                     Probability and Sampling Distributions/Minitab

11.                     Estimation and Statistical Intervals

12.                     Estimation and Statistical Intervals/Minitab

13.                     Testing Statistical Hypotheses/Minitab

14.                     Testing Statistical Hypotheses

 

Contribution to Professional Component:

Contributes toward the one year of college level mathematics and basic science as a 3 credit hour course.

Relationship of course to program outcomes:

This course supports engineering outcomes 1 and 3.

 

Prepared by:  Professor Rick Keyser, 03/26/03