Course description: The study of statistics explores the collection, organization, analysis and interpretation of numerical data. We study statistics because the use of data has become ever more common in a growing number of professions, including the health sciences. Applied properly, statistical methods can help to answer hard questions.

The course begins with a study of statistical designs for producing "good" data, that is, for producing data so that meaningful conclusions can be drawn from the results. Graphical and numerical tools for describing, summarizing and understanding data are studied next, followed by careful introductions to the principles of probability theory and the principles of statistical inference. The principles are applied in a few important settings. Essential requirements for the course are a working knowledge of algebra, a familiarity with set operations, an ability to read and interpret word problems, and an ability to interpret the solution to a word problem in the context of the problem.

MATH1180 is the mathematics core requirement for students in the Connell School of Nursing (CSON), and complements research-oriented courses given by CSON faculty members. At present, enrollment is restricted to CSON students.

Spring 2016 course information: The required textbook for the course is the custom book Principles of Statistics for the Health Sciences, 2016 Edition , by Professor Jenny Baglivo. Recommended additional reading: Principles of Biostatistics by Pagano & Gauvreau; Statistics: The Art of Learning from Data by Agresti & Franklin; The Practice of Statistics in the Life Sciences by Baldi & Moore. The recommended texts are on reserve in O'Neill Library and are available for review in the Connors Family Learning Center.

Syllabus (important information you need to know; posted 1/19/16).

Grid paper: LightGrid, DarkGrid.

Additional information: MATH1180 course development was supported by a 2006-2007 Boston College Teaching and Mentoring Grant. The diagram above, known as a polar diagram (or a rose diagram), was developed by Florence Nightingale to display causes of mortality at military field hospitals during the Crimean War. Florence Nightingale is known for her contributions to the fields of nursing and statistics.