Suppose that X is a normal Variate with mean 5.

In summary, the conversation discusses a normal variate, X, with a mean of 5 and a probability of P(X>9)=0.2. The question is asking for the variance, V(X), which is calculated by using the formula 0.2 = 9 - 5 / V(X). However, this formula is incorrect as 0.2 is a probability and cannot be compared to a Z-score.
  • #1
TomJerry
50
0
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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  • #2
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.
 

What is a normal variate?

A normal variate is a type of random variable that follows a normal distribution. This means that the values of the variable are spread out evenly around the mean, with most values falling close to the mean and fewer values falling further away from the mean.

What does it mean for X to have a mean of 5?

This means that the average value of X is 5. In other words, if we were to take a large number of samples of X and calculate their average, the result would be very close to 5.

What is the significance of X being a normal variate with a mean of 5?

The normal distribution is a very common and well-understood probability distribution. Knowing that X follows a normal distribution with a mean of 5 allows us to make predictions about the likelihood of certain values occurring and to analyze the data using statistical methods.

What are some examples of variables that could follow a normal distribution with a mean of 5?

Some examples could include the heights of adult humans, the weights of a certain breed of dog, or the number of hours spent studying by college students.

How can we use this information to make predictions about X?

Knowing that X follows a normal distribution with a mean of 5, we can calculate the probability of certain values occurring and use this to make predictions about future outcomes. For example, we could use this information to estimate the likelihood of a certain experiment producing a result within a certain range of values.

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