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Applied Data Analysis
QAC 201
Fall 2009
Section: 01   02   03   04   05  
Crosslisting: SOC 257, GOVT 201, PSYC 280, NS&B 280

This combination lecture and hands-on laboratory course provides experience in data management and applied statistics. Students will have the opportunity to develop skills in several aspects of the research process including generating testable hypotheses based on extant data; conducting a literature review and evaluating the content of scientific literature; preparing data for analysis; selecting and conducting descriptive and inferential statistical analyses; and presenting research findings. By providing opportunities for training in one of the three major statistical analysis software (SAS, SPSS, and Stata), this course aims to empower students to manage and analyze large data sets. Each laboratory group will be organized around a specific software application.

Essential Capabilities: Information Literacy, Quantitative Reasoning
Quantitative Reasoning. Using real data in a computer laboratory, students will develop a quantitative argument, formulate and test hypotheses using statistics, and observe and summarize relationships among their selected constructs. The emphasis is on reasoning rather than rote computation.
Information Literacy. By learning to use software applications, databases, and other technologies flexibly, students will develop an intellectual framework for understanding, finding, evaluating, and using information. The goal will be to promote lifelong learning through abilities that initially based on technology, will ultimately be independent of it.
Credit: 1.5 Gen Ed Area Dept: NSM QAC
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Major Requirement for: (BIOL)(CIS)(DATA-MN)(EDST-MN)(GOVT)(GOVT-American)(NS&B)(PSYC)(SOC)
Past Enrollment Probability: Not Available

Last Updated on SEP-24-2017
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