How to Solve for a Given Probability in a Standard Normal Distribution Table?

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In summary, the conversation is about finding a solution for a problem involving a standard normal distribution and an inverse table look-up. The solution involves looking up the probability in a table and finding the corresponding value of a.
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CaptainBlack
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Question by KS, reposted from Yahoo Questions

P(0<z<a) = 0.3554 solution
help!
i have to find a

Since z is used for the variable we may assume that this is a normal distribution question, and that Z is a RV with a standard normal distribution.

In which case we have a problem asking us to do an inverse table look-up in a table of standard normal distribution. These come in two varieties one gives exactly the probability you require the area under the curve from 0 to a, the other gives the area from -infinity to a. In the latter case for you need:

##P(0<z<a)=P(-\infty<z<a) - P(-\infty< z<0) = P(-\infty< z< a) - 1/2##.

So for this type of table we look up:

##P(-\infty< z< a)=0.8554##

The way an inverse table look up is done is to look in the body of the table for the value of the probability and the value of a is then the corresponding value you would have looked up. This is shown in the attachment:

View attachment 85

CB
 

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Looks good.
 

FAQ: How to Solve for a Given Probability in a Standard Normal Distribution Table?

What does the equation "P(0

The equation represents the probability that a random variable z falls between 0 and a, with a probability of 0.3554.

How is the value of 0.3554 determined in the equation?

The value of 0.3554 is determined through statistical analysis and calculations based on the given data or assumptions.

What is the significance of the equation "P(0

This equation is commonly used in statistical analysis to determine the likelihood of a certain event or variable falling within a specific range.

How is the equation "P(0

The equation is related to the normal distribution curve as it represents the area under the curve between 0 and a, with a probability of 0.3554.

Can this equation be applied to all types of data sets?

Yes, this equation can be applied to all types of data sets as long as they follow a normal distribution pattern.

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