Some general directions

• When you have a large data set, you need to know what kind of information this data set may provide you.
  
  
• Start thinking what relations (logical / mathematical are involved).
  
  
• The given data are explicit to you – what additional data/information you may generate? (implicit information)
  Usually, this information is much more important than what you have to start with.
  
  
• Start thinking what is important for you to know about the entire set of data you have (explicit & implicit)
  
  
• Utilize the DATA/SORT command to reorganize your data in ways that are important to you.
  
  
• Use Scatter/Bar/Line/Pie graphs to explore you data and then demonstrate your points.
  
  
• Sometimes, when you use Scatter graph you may want to add the trend line and identify the mathematical formulation as well the R². You may also want to try several versions of trend besides the linear if this is appropriate. Then you should explain what all this information means.

Remember,

real business people

deal with real business data

that may represent (or hide - and you have to uncover) real problems

that you need to find solutions for them and

manage their implementation.

NOT all textbooks have a “love” for reality, and their examples are based on and “fake” data. If this is a case, you cannot draw any “real” conclusion, and you can just expose the irrationality of your data. and you can provide real