# Academics  /  Courses  /  DescriptionsIEMS 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, 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, 9th Edition, Brooks/Cole – Thompson, 2016ISMB-13: 978-0134115856