Nonpartisan Interpretation of Data and Information

Spring 2015 quarter

Taught by

management science, statistics

Course Description: Nonpartisan Interpretation of Data and Information will present examples, along with methods and techniques, for interpreting quantitative information.  We will use texts such as How to Lie with Statistics by Darrell Huff and The Visual Display of Quantitative Information by Edward Tufte.  We will also incorporate the easy-to-use, and inexpensive, statistical display package Tableau®

Emphasis will be on the practical application data interpretation. There will be an opportunity to work with either data of the student’s choice or simulated data.  The majority of learning will take place in class so all are expected to attend, and be actively engaged.  When completed students will have a much clearer idea of how to communicate quantitative information in a fair and accurate way.

Program Details

Location and Schedule

Campus location



Offered during: Evening and Weekend

Advertised schedule: Mon 6-10p


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Online Learning

Enhanced Online Learning: Access to web-based tools required, but use of these tools does not displace any face-to-face instruction.

Registration Information

Credits: 4 (Spring)

Class standing: Graduate

Maximum enrollment: 15


Course Reference Number

(4 GR credits): 30299

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