Statistical Testing

There are strengths and weaknesses associated with statistical testing. For this discussion, begin by reviewing the various methods of statistical testing presented in your textbook (i.e., t-tests, ANOVA, chi-square, and f-tests). Then, keeping these methods in mind, read the following quotes:

• "Trying to analyze a situation without enough data was like looking at a photograph of a ball in flight and trying to gauge its direction. Is it going up, down, sideways? Is it about to collide with a baseball bat? Is it moving at all, or is something on the blind side holding it in place? A single frame didn't mean a thing. Patterns were based on data. With enough datapoints, you could predict just about anything."Marcus Sakey,Brilliance(2013)
• "In a world with amazing amounts of statistics and demographics available, If you don't utilize foresight, statistics, demographics, projections and predictions the competition will."Akutra-Ramses Atenosis Cea
• "The government are very keen on amassing statistics. They collect them, add them, raise them to the nth power, take the cube root and prepare wonderful diagrams. But you must never forget that every one of these figures comes in the first instance from the village watchman, who just puts down what he damn pleases."Josiah Stamp
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• Summarize your two most important take-aways from the quotations listed.
• Discuss why statistical testing is important in research.
• Provide an example of a real-world use for statistical testing; your example can be based on your professional or personal experience or it can be hypothetical.