Diferencia entre revisiones de «Data Analysis Between Two Variables Using Correlation Technique»

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*To acquire the necessary knowledge to develop the software product: 10 days  
 
*To acquire the necessary knowledge to develop the software product: 10 days  
*To create the Product Patterns: 5 hours
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*To create the Product Pattern: 5 hours
*To apply the Product Patterns: Depends on the project.
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*To apply the Product Pattern: Depends on the project.
 
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Revisión de 12:55 22 feb 2015

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Inputs

  • Experimentation Implementation Document
    • Can it be used configuration management ?: Yes
  • Data Collection Document(tracking sheets)
    • Can it be used configuration management ?: Yes

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Output

  • Documents Analysis of the relationship between two variables documents
    • Can it be used configuration management ?: Yes

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Solution

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Process

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Development time

    • To acquire the necessary knowledge to develop the software product: 10 days
    • To create the Product Pattern: 5 hours
    • To apply the Product Pattern: Depends on the project.

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Explanation video

    • Not applicable.

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Quality Controllers

  • None

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Templates

  • None

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Examples

  • None

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Support Tools

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Initial Context

The results of an experiment, which variables are quantitative, and it desired to know if there is any correlation between two variables.

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Resulting context

It is obtained a document in which the data analysis of the relationship between two variables is described.

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Issue

It is desired to create a document in which the verifying the existence of a relationship between two quantitative variables is described.

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Restrictions (Forces)

  • Type of Organization: Research Centers, Universities, SMEs, Large Companies.
  • Features Experiment
    • Type variables: Quantitative

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Roles

  • Project Manager
  • Researcher
  • Student

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Lessons Learned

  • None

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Maturity level

  • Not applicable.

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Basic Knowledge and Skills

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Knowledge

  • Statistics notions .
  • Probability and data analysis notions.

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Abilities

  • Capacity of Abstraction.
  • Capacity of Analysis.

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Information Resources