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Statistics is the science--and art--of extracting data from the world around us and organizing, summarizing and analyzing it in order to draw conclusions or make predictions. This course provides a grounding in the principles and methods of statistics as commonly used in the natural and social sciences. Topics include: probability theory, data collection, description, visualization, probability, hypothesis testing, correlation, regression and analysis of variance. We will use the open source statistical computing package R (no prior computing experience is assumed).
You are expected to be aware of the college's policy on academic integrity and to abide by it. Please come and talk to me if anything is unclear.
If you think you qualify for accommodations under the ADA, contact Catherine O'Callaghan (cocallag@marlboro.edu) to work out the details.
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Statistics-Spring2019.pdf | Tue Oct 15 2024 07:25 am | 69K |