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Analysis of Data from Designed Experiments


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This page is in development phase. Please keep visiting here for steps of analysis of data from other designed experiments.We welcome your valuable suggestions. Kindly send your comments/suggestions to:


 Dr. Rajender Parsad
 National Fellow,
 IASRI, Pusa, New Delhi-110012


 Dr. V. K. Gupta
 National Professor,
 IASRI, Pusa, New Delhi-110012


 Mr. Amit Kumar Umrao
 Research Associate,
 IASRI, Pusa, New Delhi-110012


Mr. Basudev Kole
 Research Associate,
 IASRI, Pusa, New Delhi-110012





Home Descriptive Statistics  Tests of Significance Correlation and Regression Completely Randomised Design  RCB Design  

Incomplete Block Design  Resolvable Block Design  Augmented Design  Latin Square Design Factorial RCB Design  

Partially Confounded Design Factorial Experiment with Extra Treatments Split Plot Design   Strip Plot Design 

Response Surface Design Cross Over Design  Analysis of Covariance Diagnostics and Remedial Measures 

Principal Component Analysis Cluster Analysis Groups of Experiments  Non-Linear Models  

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Descriptive Statistics
Tests of Significance
Correlation and Regression
Completely Randomised Design
RCB Design
Incomplete Block Design
Resolvable Block Design
Augmented Design
Latin Square Design
Factorial RCB Design
Partially Confounded Design
Factorial Experiment with Extra Treatments
Split Plot Design
Strip Plot Design
Response Surface Design
Cross Over Design
Analysis of Covariance
Diagnostics and Remedial Measures
Principal Component Analysis
Cluster Analysis
Groups of Experiments
Non-Linear Models
Contact Us
Other Designed Experiments
(Under Development)

For exposure on SAS, SPSS, MINITAB, SYSTAT and  
MS-EXCEL for analysis of data  from designed experiments:

 Please see Module I of Electronic Book II: Advances in Data Analytical Techniques

available at Design Resources Server (