Industrial Engineering

DEPARTMENT OF INDUSTRIAL AND MANUFACTURING ENGINEERING AND BUSINESS  

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IEN-332, Engineering Statistics II

2001 Catalog Data: IEN-332, Engineering Statistics II

Credits: (4-0-4)

Course Description: Introduction to Applied Engineering Statistics. Basic concepts in statistics, exploratory data analysis, different sampling methods, descriptive statistics, inferential statistics for one and two population cases, nonparametric statistics, goodness of fit tests, and basic control charts. Extensive use of statistical software such as Minitab throughout the course.

Prerequisites: MATH-205, Engineering Statistics I, Probability or MATH-408, Probability and Statistics

Corequisites: None

Textbook: Probability and Statistics in Engineering and Management Science, William W. Hines and Douglas C. Montgomery, Third Edition, John Wiley & Sons, Inc., 1990.

References: 1. Statistics for Experimenters, G.E.P. Box, W.G. Hunter and J.S. Hunter, John Wiley & Sons, Inc., 1978.

Course Learning Objectives: Upon completion of this course, the students will:

  • Recall, understand and apply appropriate knowledge gained from prerequisite courses (IE PEO 1).
  • Explain the needs for statistics (IE PEOs 2, 3, 5).
  • Describe variation and quality (IE PEOs 2, 3, 4, 5).
  • Apply basic concepts of statistics (IE PEO 4).
  • Demonstrate data collection methodologies (IE PEOs 2, 4, 5).
  • Apply statistical data analysis and interpret the results (IE PEOs 4, 5).
  • Explain and apply the confidence interval and tests of hypotheses (IE PEO 3).
  • Use Minitab (or some statistical software) (IE PEOs 4, 5).
  • Handle practical data (IE PEOs 3, 5).
  • Explain the relationship of knowledge from this course to subsequent courses (IE PEOs 3, 4, 5).

Prerequisites by Topics:

  • Basic concepts in probability and probability modeling

  • Applications to engineering disciplines

  • Conditional probability

  • Independence

  • Random variables (discrete and continuous) and simulating random variables

  • Probability functions

  • Measures of random variables

  • Well-known probability distributions such as Bernoulli, binomial, geometric, Poisson, exponential, uniform, Gaussian, etc;

  • Bivariate random variables, correlation, covariance, bivariate normal; central limit theorem and its implication in engineering applications.

Topics Covered:

  • Exploratory data analysis

  • Different sampling methods

  • Descriptive statistics

  • Inferential statistics for one population case

  • Inferential statistics for two population cases

  • Nonparametric statistics, goodness of fit tests, and basic control charts

  • Exams, Quizzes

Class Schedule: Regular classes will meet 240 minutes per week. At least 60 minutes a week during the quarter will be used to illustrate all aspects of basic applied statistics using statistical software such as MINITAB.

Computer Usage: Statistical package such as MINITAB

Laboratory Projects: Several mini-projects and a detailed (group) term project.

Relationship to Professional Component: Engineering Science: Four credit hours

Prepared by: Srinivas R. Chakravarthy                                                     Date: August 4, 2000