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محمود محمد محمود الدريني

Associate Professor

عضو هيئة تدريس

Sciences
2B28
course

design and Analysis of Experiments (stat 337), Academic Year 1447 AH, Second Semester

King Saud University

College of Sciences 

Department of Statistics and Operations Research

 

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1- information about the course

 Course Title:   Experimental Design                                       Course Code: STAT 337   

Credit hours: 3(2+1+0)                                                                 Course type: Department Required

Pre-requirements for this course: Stat 328                   Level this course is offered: (6th/3rd)

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 2- Course Description 

The course contains a various topics and techniques of Data Analysis using statistical software.

  • Introduction: Some typical applications of experimental design, basic principles, guidelines for designing experiments, and using statistical techniques in experimentation.
  • Statistical inference: about the differences in means, randomized designs, and about the variances of normal distributions.
  • Experiments with a Single Factor (Completely Randomized Design CRD): (The Analysis of Variance):
  • Fixed and random effect model with balance and unbalance data.
  • Contrasts and Multicomparisons among treatment means (Tukey, LSD Fisher,  Dunnett , Scheffe, Bonferroni).
  • determining Sample Size.
  • Randomized Blocks, Latin Squares.
  • The Randomized Complete Block Design (RCBD).
  • The Latin Square Design.
  • Balanced Incomplete Block Designs (BIBD)
  • Introduction to Factorial Designs.
  • The Two-Factor Factorial Design
  • The General Factorial Design.
  • The 2k Factorial Design
  • The 22 Factorial Design
  • The 23 Factorial Design
  • Regression and Analysis of Covariance

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3-Course Main Objective(s)

Students after completing the course will have:

  • Ability to use and integrate statistical techniques in any scientific inquiry.
  • Providing the student with the skill in choosing the appropriate design to carry out the experiment.
  • Understanding how to select the best methods to analysis data by using statistical packages.
  • Ability to give right interpretations of statistical results.
  • The skills to prepare and write statistical reports.  
course attachements