Introduction 
     •  Seven QC tools are fundamental instruments to improve the 
        quality of the product. They are used to analyze the production 
        process, identify the major problems, control fluctuations of 
        product quality, and provide solutions to avoid future defects. 
        Statistical literacy is necessary to effectively use the seven QC 
        tools. These tools use statistical techniques and knowledge to 
        accumulate data and analyze them. 
     •  Seven QC tools are utilized to organize the collected data in a 
        way that is easy to understand and analyze. Moreover, from 
        using the seven QC tools, any specific problems in a process 
        are identified. 
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             7QC tools always include :
     •  Check Sheet 
     •  Pareto Chart 
     •  Cause-and-Effect Diagram 
     •  Histogram 
     •  Scatter Diagram 
     •  Flow Chart 
     •  Control Chart 
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                            Check Sheet 
     •  A check sheet is a pre-designed format for collection of data 
        that encourages organized collection and groups data into 
        categories.  
      
     •  When to use it:  To keep track of the parameters of an on 
        going process.  It can be used to track events by such factors 
        as timeliness, reason for inspection failure, etc
     •  How to use it: Look at some preliminary data before 
        developing the check sheet.  This will indicate what categories 
        to use. 
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    •  Used for the collection of quantitative or qualitative repetitive 
       data. Adaptable to different data gathering situations. 
       Minimal interpretation of results required. Easy and quick to 
       use.  
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                         Pareto Chart 
     •  A simple rule, pareto, 20 % issues causes 80 % results. This means, 80 % if 
        problems come from 20 of reasons. 80 % of results come from 20% of 
        work. 80% of cost come from 20% of spent area...and so on. 
     •  When to Use
        Use it when there are many problems or opportunities and you want to 
        focus on the most important. Or when your analyzing data about the 
        frequency of problems or causes in a process.
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