Analysis and Evaluationof Information
This chapter discusses the following concepts:
• Why numerical and formally gathered data (as opposed to data collected through conscientious socialization) must be reliable, accurate, and valid to make analysis and evaluation of those data possible
• What various statistical measures—distribution of data, centrality and dispersion of data, moving averages, and data correlation—reveal about data trends within the software project management context
• How data may be normalized to ensure that any comparisons made are valid
RELIABLE, ACCURATE, AND VALID DATA
It is one thing to collect ...
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