Last updated: 2019-04-29
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Knit directory: MSTPsummerstatistics/
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I hope you are all excited for the course! Throughout this quarter we will covering topics in the theory and practical aspects of statistical tests and probabilistic inference. We will also have the time to engage in excercises to apply our knowledge to toy datasets. The course will close off with individual projects in which you work with data generated during your summer rotations using your newfound skills.
Review foundations of theoretical and applied understanding of probability and statistics
Establish working knowledge of how to use R
Instill a deeper understanding of statistical tests specific to research area
Connect students with resources to seek out statistical advising in the future
Carry out a data analysis project using real data
While the title of this course only mentions statistics, in reality knowledge of probability and statitics go hand-in-hand. Both probability and statistics deal with analyzing the relative frequency of events that are the result of random processes.
From Steven Skiena’s “Calculated Bets” book:
Probability deals with predicting the likelihood of future events, while statistics involves the analysis of the frequency of past events.
Probability theory enables us to find the consequences of a given ideal world, while statistical theory enables us to to measure the extent to which our world is ideal.
We will explore more of both of these fields throughout the course.