Design and Analysis of experiments
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Follow on Instagram for UpdatesDesign and Analysis of experiments Syllabus — Unit-wise Content
The official GTU curriculum for Design and Analysis of experiments (subject code 2735005) as prescribed for AMS · Semester 3 divides the course into 8 units, covering 10 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2735005)Unit 1 Introduction
- Strategy of Experimentation Some Typical Applications of Experimental Design Basic Principles Guidelines for Designing Experiments
Unit 2 Simple Comparative Experiments
- Introduction Basic Statistical Concepts Sampling and Sampling Distributions Inferences About the Differences in Means
- Randomized Designs Hypothesis Testing Choice of Sample Size Confidence Intervals The Case Where σ12 ≠ σ22 The Case Where σ12 and σ22 are Known Comparing a Single Mean to a Specified Value Inferences About the Differences in Means
- Paired Comparison Designs The Paired Comparison Problem Advantages of the Paired Comparison Design Inferences About the Variances of Normal Distributions
Unit 3 Experiments with a Single Factor
- The Analysis of Variance The Analysis of Variance Analysis of the Fixed Effects Model Model Adequacy checking
Unit 4 Randomized Block and Latin Square Designs
- The Randomized Complete Block Design Statistical Analysis of the RCBD Model Adequacy Checking The Latin Square Design
Unit 5 Introduction to Factorial Designs
- Basic Definitions and Principles The Advantage of Factorials The Two-Factor Factorial Design Statistical Analysis of the Fixed Effects Model Model Adequacy Checking Estimating the Model Parameters Concept of the General Factorial Design
Unit 6 The 2k Factorial Design
- Introduction The 22Design The 23 Design The General 2k Design
Unit 7 Fitting Regression Models
- Introduction Linear Regression Models Estimation of the Parameters in Linear Regression Models
Unit 8 Introduction to Response Surface Methodology
- Introduction Method of Steepest Ascent Analysis of second order response surface
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