Suppose that X is a normal Variate with mean 5.

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The discussion centers on calculating the variance of a normal variate X with a mean (μ) of 5, given that P(X > 9) = 0.2. The initial calculation attempted to derive the variance using the formula 0.2 = (9 - 5) / V(X), leading to an incorrect conclusion of V(X) = 20. A participant clarified that the probability value of 0.2 cannot be directly equated to a Z-score, indicating a misunderstanding in the formulation of the problem.

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Question:
Suppose that X is a normal Variate with mean 5. If P(X>9)=0.2 approximately, what is Var X?


Solution:

Here [tex]\mu[/tex]=5 and P(X>9) = 0.2

therefore

0.2 = 9 - 5 / V(x)

V(x) = 4 / 0.2 = 20 [Is this correct]
 
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TomJerry said:
Question:
Suppose that X is a normal Variate with mean 5. If P(X>9)=0.2 approximately, what is Var X?


Solution:

Here [tex]\mu[/tex]=5 and P(X>9) = 0.2

therefore

0.2 = 9 - 5 / V(x)

V(x) = 4 / 0.2 = 20 [Is this correct]

No. 0.2 is a probability. I think I know what you wanted to write when you put

[tex] \frac{9-5}{V(x)}[/tex]

but, as written, it is a meaningless statement. If you were trying to compare .2 to a Z-score, that won't work: they aren't the same thing.
 

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