For real applications, the normal distribution has two potential drawbacks: (1) It can be negative, and (2)

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For real applications, the normal distribution has two potential drawbacks:
(1) It can be negative, and
(2) It isn't symmetric. Choose some continuous random numeric outcomes of interest to you. Are either potential drawbacks really drawbacks for your random outcomes? If so, which is the more serious drawback?
Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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Business Analytics Data Analysis and Decision Making

ISBN: 978-1305947542

6th edition

Authors: S. Christian Albright, Wayne L. Winston

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