Introduction to probability and statistics
Bachelor's degree
In Maynard (USA)
Description
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Type
Bachelor's degree
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Location
Maynard (USA)
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Start date
Different dates available
This course provides an elementary introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Probability
- Simulation
- Statistics
Course programme
Class Sessions: 2 sessions / week, 1.5 hours / session
Studio Sessions: 1 session / week, 1.5 hours / session
Computation, simulation, and visualization using R and applets will be used throughout the course.
Students completing the course will be able to:
Students completing the course will be able to:
You must do the reading and answer reading questions before each class, as lectures will be given under the assumption that you have completed the reading. We do not expect that you will have mastered the material on first reading. The goal is to start the process, so class will be more productive. The reading questions will prepare you for the harder questions we will work during class and on the problem sets.
Class sessions will be a blend of lecture, concept questions and group problem solving. In-class group work will be done in groups of three of your choosing. will use groups of 3. We will use "clicker questions" in class.
Studio sessions will involve longer problems and the use of R for computation, simulation and visualization. You will need to bring your laptop during these sessions. We will make frequent use of R for computation, simulation and visualization. We will teach you everything you need to know to use R as a tool, and you will not be expected to use R to do any hardcore computer programming.
MIT has a culture of teamwork so we encourage you to work with study partners. Collaboration on homework is encouraged, but you must write your solutions yourself, in your own words. You must also list all collaborators and outside sources of information.
This course makes use of discussion boards, which can be a great resource for helping each other understand the material and problem sets. We encourage collaboration and learning communities but please avoid asking for and/or posting answers to assignments: You may help clarify what's being asked, shed light on a concept, or direct others to relevant material. You may not provide solutions to problem sets.
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Introduction to probability and statistics