Design Resources Server

Analysis of Data from Designed Experiments

Descriptive Statistics

  The purpose of this web page is  to  provide steps   of  analysis  of   data generated from designed experiments by using statistical packages like  SAS, SPSS, MINITAB, SYSTAT, MS-EXCEL etc.    







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









 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 








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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)