METHODS OF DATA ANALYSIS
STATISTICAL TOOLS AND TECHNIQUES OF DATA ANALYSIS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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If the data does not give me the results I want do I still trust the results?
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Where did the data come from, what is its source?
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What kind of surveys were conducted, if any?
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Are the results of the data reliable?
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Detailed explanation-1: -The four questions of data analysis are the questions of description, probability, inference, and homogeneity. Any data analyst needs to know how to organize and use these four questions to be able to obtain meaningful and correct results.
Detailed explanation-2: -Microsoft Excel Microsoft Excel is not an advanced solution for statistical analysis, but a wide variety of tools is offered by Microsoft excel for data visualization and simple statistics.
Detailed explanation-3: -How would the results change if we had more observations ? Can you really draw conclusions or is the sample too small ? How well does the model fit ? Are the results reasonable ? Is the estimated disparity big enough to matter ? What follow-up is required ? 29-Apr-2012