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Statistical Distribution Resources

Dr. Ham 2014/06/09 Statistical Distribution Resources2014-06-09T12:44:30+03:00 MAT212 No Comment
A simple set of statistical tables with Normal Distribution, t Test, F Test and Chi-squared Distribution is available to download here. Also, the author of our test, David Lane, has…
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MAT210 L18: Interpolation: Splines 1

Dr. Ham 2014/06/09 MAT210 L18: Interpolation: Splines 12014-06-24T12:06:26+03:00 No Comment
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MAT210 L17: Interpolation: Lagrangian

Dr. Ham 2014/06/08 MAT210 L17: Interpolation: Lagrangian2014-06-24T12:02:52+03:00 No Comment
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MAT210 L16: Interpolation: NDD

Dr. Ham 2014/06/08 MAT210 L16: Interpolation: NDD2014-06-24T12:01:37+03:00 No Comment
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MAT210 L15: Interpolation: Direct

Dr. Ham 2014/06/02 MAT210 L15: Interpolation: Direct2014-06-24T12:04:55+03:00 No Comment
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MAT212 Mathematical Statistics

Dr. Ham 2014/05/04 MAT212 Mathematical Statistics2014-06-09T12:42:06+03:00 No Comment
Latest news: Objective: To develop a deeper understanding understanding statistical analysis, especially the use of sampling distributions and inferential statistics in identifying correlations, making estimates and testing hypotheses. Contents: Research…
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Big-O and other Asymptotic Notation

Dr. Ham 2013/12/22 Big-O and other Asymptotic Notation2013-12-22T20:21:40+03:00 Discrete Mathematics No Comment
Two good places to start to wade into asymptotic notation, especially f(x)=O(g(x)) are: "Big-O Notation - What is it good for?" by Limbic~Region Wikipedia's entry on Big-O Notation
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Linear Algebra

Dr. Ham 2013/11/18 Linear Algebra2013-11-18T13:59:03+03:00 No Comment
SJUT divides the study of Linear Algebra into two courses: MAT101 Linear Algebra I for all students studying Mathematics and MAT213 Linear Algebra II for Math majors. Those courses are…
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Probability & Statistics

Dr. Ham 2013/11/18 Probability & Statistics2013-11-20T20:06:02+03:00 No Comment
For Probability the SJUT undergraduate mathematics course MAT201 draws heavily on the Probabilistic Systems Analysis and Applied Probability course (MIT Course Number / taught by Prof. John Tsitsiklis), which is…
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MAT302 Discrete Mathematics

Dr. Ham 2013/11/18 MAT302 Discrete Mathematics2014-10-21T14:39:18+03:00 No Comment
This course introduces some of the basic ideas of discrete mathematics, including graph theory, algorithms and their complexity, languages and grammars, and finite state machines. The course assumes familiarity with…
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Related Posts

  • Numerical Computing with Matlab
  • MAT210 L27: Solving ODE: Boundary Value Problems
  • MAT210 L26: Solving ODE: Runge-Kutta 2nd
  • MAT210 Lesson 25-27: Solving ODEs
  • MAT210 L25: Solving ODE: Euler

Related Pages

  • Confidence Intervals clarified
  • MAT201 Probability and Statistics
  • MAT212 Mathematical Statistics
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  • UE Preparation: ANOVA / Tukey HSD

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  • Big-O and other Asymptotic Notation
  • Cat1 Post
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  • Workshops
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      • Interpolation: Direct
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      • Regression: Intro
      • Regression: Linear
      • Integration: Intro
      • Integration: Romberg
      • ODE: Euler's Method
      • MAT210 L26: Solving ODE: Runge-Kutta 2nd
      • MAT210 L27: Solving ODE: Boundary Value Problems
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  • Coursework Results Processor 2013/14S2
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  • MAT113 Workshop 19th & 20th May
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  • MAT210 Exam Review
  • MAT210 Lesson 15: Direct Interpolation
  • MAT210 Lesson 16: Newton’s Divided Difference
  • MAT210 Lesson 17: Lagrangian Interpolation
  • MAT210 Lesson 18: Splines I
  • MAT210 Lesson 19 & 20: Regression
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  • MAT210 Lesson 25-27: Solving ODEs
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  • Coursework Results Processor 2013/14S2
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  • Automate Reference Management
  • Big-O and other Asymptotic Notation
  • Cat1 Post
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  • Cat2 Post
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  • Confidence Intervals clarified
  • Coursework Results Processor 2013/14S2
  • Graph Theory Test Answers
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  • MAT113 2013-14S2 General Information
  • MAT113 Lesson 07: Gnuplot Basics
  • MAT113 Maxima Exercises
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  • MAT113 Workshop 19th & 20th May
  • MAT113 Workshop 23th & 24th June
  • MAT113 Workshop 26th & 27th May
  • MAT210 Exam Review
  • MAT210 Lesson 15: Direct Interpolation
  • MAT210 Lesson 16: Newton’s Divided Difference
  • MAT210 Lesson 17: Lagrangian Interpolation
  • MAT210 Lesson 18: Splines I
  • MAT210 Lesson 19 & 20: Regression
  • MAT210 Lesson 21&22: Integration
  • MAT210 Lesson 25-27: Solving ODEs
  • MAT210 Test #1 Answers & Interpolation Problem
  • MAT210 Tutorial #1: Errors, Differentiation & Roots
  • MAT210 Workshop 13th-14th May
  • MAT210 Workshop 20th-21st May
  • MAT210 Workshop July 8 & 9
  • MAT210 Workshop June 03 & 04
  • MAT210 Workshop June 24 & 25
  • MAT211 Information
  • Metric Space Summary
  • PH209 Exam Review Questions
  • PH209 Heat Transfer Solutions
  • Reviving Applied Mathematics
  • Simplified Reference Management
    • Changing Paradigm
    • Simply Automatic
  • SJUT Courswork Results Processor Update
  • Statistical Distribution Resources
  • Statistics using spreadsheets
  • Supplementary Exam Prep: MAT310
  • Test answers
  • UE Preparation: ANOVA / Tukey HSD
  • Welcome
  • St. John’s Univ. of Tanz.
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      • Newton's Divided Difference
      • Lagrangian Interpolation
      • Spline Interpolation I
      • Regression: Intro
      • Regression: Linear
      • Integration: Intro
      • Integration: Romberg
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