How do we take large data sets and reduce it to five metrics

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Question - Take a look at the SPY ETF for the last five years and consider the following questions:

How do we take large data sets and reduce it to five metrics?

Are all five metrics of equal importance?

What issues might you need to watch out for using these historic summaries to forecast forward results?

What dataset should students examine as an example?

Reference no: EM133277915

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