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.
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.
| || |
at( & 1 attachments).
| || | Normal_distribution.docx
| || || |