Data analysis helps evaluators identify patterns and fortify arguments used to support conclusions and recommendations.
When you are dealing with soft data, carefully structured discussion plays an important role in analysis.
The scale at which a given data set is measured plays a central role in selecting appropriate data analysis techniques.
There are two types of statistics: descriptive and inferential. Descriptive statistics analyze a given data set, and inferential statistics help draw connections between a sample and the group from which the sample was drawn.
While data analysis begins to reveal emergent themes and patterns, interpretation is necessary to attach meaning to such findings that will later lead to plausible conclusions ...
With Safari, you learn the way you learn best. Get unlimited access to videos, live online training,
learning paths, books, interactive tutorials, and more.