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How & When to Use Different Data Analysis Methods

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Scanned old pages from a handbook which had a simple structured way of looking at what type of statistical analysis to use when and also on how to go about doing the same. And yes, this is just a basic overview and if you need to use any statistical method extensively, it is best to read it up from other sources!

Each method is structured into 6 simple bits,
1.What it does 2.Typical Applications 3.Input requirements and cautions 4.Tools and How to use them 5.Guidelines and Rules Of Thumb 6.Output & How to interpret

Hope this helps out when you are totally lost in statistics and have a pile of numbers to work with!!!

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How & When to Use Different Data Analysis Methods

  1. 1. Data Analysis Methods Just came across some old files which had a simple structured way of looking at what type of analysis to use when and also on how to go about doing the same. And yes, this is just a basic overview and if you need to use any statistical method extensively, it is best to read it up from other sources! Each method is structured into 6 simple bits, •What it does •Typical Applications •Input requirements and cautions •Tools and How to use them •Guidelines and Rules Of Thumb •Output & How to interpret Hope this helps out when you are totally lost in statistics and have a pile of numbers to work with!!!  -Sashi (yepitsmesashi@gmail.com)
  2. 2. The different methods that can be used
  3. 3. Correlation Analysis
  4. 4. Factor Analysis
  5. 5. Correspondence Analysis
  6. 6. Cluster Analysis
  7. 7. Regression Analysis: Linear
  8. 8. Regression Analysis: Logistic
  9. 9. Discriminant Analysis

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