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When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?

Review Chapter 3 of your course text, which introduces probability and the standard normal distribution.  When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?  What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution?  What is the relationship between z-scores and percentages?  In your opinion, does one do a better job of representing the proportion of the area under the standard curve?  Give an example that illustrates your answer.    

Guided Response:  Review several of your classmates’ posts.  Respond substantively to at least two peers.  What did you like about their explanation and example?  Would you make any suggestions for improvement?  Ask a question for further clarification as to the meaning and use of the z-scores.


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