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IEMS 201: Introduction to Statistics


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Description

Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open to industrial engineering degree candidates.

  • This course is a major requirement for MaDE and a basic engineering course in the area of “probability, statistics, and quality control.”
  • Students may not receive credit for both 201 and any of the following:  IEMS 303, CHEM_ENG 312, CIV_ENV 306, BME 220.

 LEARNING OBJECTIVES

  • Students will be able to use the rules of probability and probability distributions to model the behavior of systems and determine the probability of various events.
  • Students will be able to understand and manipulate random variables to determine and their expected value and variance and use them as estimators.
  • Students will be able to construct and use confidence intervals to perform hypothesis tests and make engineering decisions.
  • Students will be able to design and analyze experiments for comparing two options.
  • Students will be able to use regression to find potential relationships between variables and to model the behavior of systems and predict its outcomes in unobserved states.

 TOPICS

  • The Scientific Method: A Framework for Decision Making (Ch. 1)
  • Data Investigation and Presentation  (Ch. 1)
  • Random Variables as Probability Models (Chs. 3&4)
  • Basic Probability (Ch. 2)
  • Estimation (Ch. 5&6)
  • Confidence Intervals for Decision Making (Chs. 7&8)
  • Comparison Decisions (Ch. 9)
  • Linear Regression for Modeling Relationships (Ch. 12)
  • Multiple Regression Models for Prediction (Ch. 13)

MATERIALS

Recommended: Probability and Statistics for Engineering and the Sciences by Jay L. Devore, 9th Edition, Brooks/Cole – Thompson, 2016.  ISMB-13: 978-0134115856