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Course Info

Instructor:
  • Dr. Peter Kempthorne
Course Number:
  • 18.650 (formerly 18.443)
Departments:
  • Mathematics
As Taught In: Spring 2015
Level: Undergraduate

Topics

  • Mathematics
    Applied Mathematics
    Discrete Mathematics
    Probability and Statistics

Learning Resource Types

assignment_turned_in Problem Sets with Solutions
notes Lecture Notes
group_work Projects
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Course Info
Statistics for Applications
  • Syllabus

  • Calendar

  • Readings

  • Lecture Notes

  • Assignments

  • Exams

  • R Scripts and Projects

Lecture Notes

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LEC # TOPICS
L1

Statistics for Applications Course Overview (PDF)

Distributions Derived from Normal Distribution (PDF)

L2 Statistical Models: Classic One-sample Distribution Models (PDF)
L3 Parameter Estimation: Method of Moments (PDF)
L4 Parameter Estimation: Maximum Likelihood (PDF)
L5 Maximum Likelihood: Large Sample Theory (PDF)
L6 Bootstrap Confidence Intervals (PDF)
L7 Sufficiency (PDF)
L8 Parameter Estimation: Bayesian Approach (PDF)
L9 Hypothesis Testing (PDF)
L10 Hypothesis Testing II (PDF)
L11 Assessing Goodness of Fit (PDF)
L12 Summarizing Data (PDF)
L13 Summarizing Data: Examples and Dynamic Graphics (PDF)
L14 Regression Analysis (PDF)
L15 Regression Analysis II (PDF)
L16 Comparing Independent Samples and ANOVA (PDF)
L17 Analysis of Categorical Data (PDF)

Course Info

Instructor:
  • Dr. Peter Kempthorne
Course Number:
  • 18.650 (formerly 18.443)
Departments:
  • Mathematics
As Taught In: Spring 2015
Level: Undergraduate

Topics

  • Mathematics
    Applied Mathematics
    Discrete Mathematics
    Probability and Statistics

Learning Resource Types

assignment_turned_in Problem Sets with Solutions
notes Lecture Notes
group_work Projects
MIT Open Learning
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