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Course Info

  • Course Number / Code:
  • 15.075 (Spring 2003) 
  • Course Title:
  • Applied Statistics 
  • Course Level:
  • Undergraduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Sloan School of Management 
  • Course Instructor(s):
  • Dr. Elizabeth Newton 
  • Course Introduction:
  •  


  • 15.075 Applied Statistics



    Spring 2003




    Course Highlights


    Material in 15.075 is presented through its comprehensive set of lecture notes. Students receive hands-on experience with statistical software through the assignments and with examples in the lecture notes.


    Course Description


    This course is an introduction to applied statistics and data analysis.  Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing. It is not a course in mathematical statistics, but provides a balance between statistical theory and application. Prerequisites are calculus, probability, and linear algebra.

    We would like to acknowledge the contributions that Prof. Roy Welsch (MIT), Prof. Gordon Kaufman (MIT), Prof. Jacqueline Telford (Johns Hopkins University), and Prof. Ramón León (University of Tennessee) have made to the course material.


    *Some translations represent previous versions of courses.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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