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dc.contributor.authorSheard, Michael-
dc.descriptionThis syllabus was submitted to the Office of Academic Affairs by the course instructor. Uploaded by Archives RSA Josephine Hill.en_US
dc.description.abstractStatistics is an exciting, dynamic, and intrinsically interdisciplinary science. Modern statistics is widely employed in government, business, and the natural and social sciences. The work of statisticians powers search engines like Google, is critical to the exploration of the human genome, and is applied constantly in the worlds of economics and finance. Computers are transforming the field at a breathtaking pace. This semester, our approach to the two main tasks of statistical inference – constructing confidence intervals and executing hypothesis tests – will be motivated by simulations and visualizations in a software environment. These kinds of approaches are quickly coming to shape the way statistical analysis will be carried out in years to come. Because hard drive space is becoming much cheaper (i.e., it is easy to collect and store vast quantities of data) and processing speeds are becoming much faster (i.e., it is easy to do more things with data than ever before), the world of tomorrow will be dominated by the kind of computer-driven data analysis we will undertake this semester.en_US
dc.publisherMemphis, Tenn. : Rhodes Collegeen_US
dc.relation.ispartofseriesSyllabi CRN;13350-
dc.rightsRhodes College owns the rights to the archival digital objects in this collection. Objects are made available for educational use only and may not be used for any non-educational or commercial purpose. Approved educational uses include private research and scholarship, teaching, and student projects. For additional information please contact Fees may apply.-
dc.subjectAcademic departmentsen_US
dc.subjectMathematics and Computer Science, Department ofen_US
dc.subject2012 Fallen_US
dc.titleMATH 111-01, Introduction to Applied Statistics, Fall 2012en_US
Appears in Collections:Course Syllabi

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