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Descriptions
IEMS 201: Introduction to Statistics

Quarter Offered

Fall : TTH 12:30-1:50 ; Ankenman
None : Summer/Online ; Ankenman

Prerequisites

Co-requisite: Math 234

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, STAT 210, 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, 8th Edition, Brooks/Cole – Thompson, 2012.

ADDITIONAL INFORMATION

This course can be taken online, but must be started at the beginning of Summer and Fall and assignments are synchronous to the quarter. Labs are done in teams and have a video as a deliverable, not a report.