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

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 drawbacks and why

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

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 drawbacks and why?

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

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

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