Design of Experiments
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Design of Experiments Syllabus — Unit-wise Content
The official GTU curriculum for Design of Experiments (subject code 3732806) as prescribed for ME · Semester 3 divides the course into 6 units, covering 23 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 (3732806)Unit 1 Random Variables
- Introduction to discrete and continuous random variables
- quantify spread and central tendencies of discrete and continuous random variables Important Statistical Distributions: Properties and applications of Normal
- log-normal and t-distributions
- Chi-Square and F distributions
Unit 2 Point and interval estimates of population parameters
- Point Estimation of the population mean
- distribution of the sample means
- central Limit theorem
- confidence Intervals on the population mean
- optimal sample size to obtain precision and confidence in interval estimates of mean
- maximum likelihood parameter estimation
Unit 3 Hypothesis Testing
- Formulation of null and alternate hypotheses
- errors in hypothesis Tests
- power of hypothesis tests
- hypothesis tests on population means
- variances and ratios of variances
Unit 4 Analyze single factor experiments
- Introduction to Analysis of Variance (ANOVA)
- blocking and randomization
Unit 5 Factorial Design of Experiments
- Need for planned experimentation
- factorial design experiments involving two factors
- effect of interactions
- ANOVA in factorial design
- general factorial design
- partial factorial designs
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