Question bout normal distribution:

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Discussion Overview

The discussion revolves around understanding the normal distribution, specifically how to calculate the probability of a random variable falling between two values, denoted as P(a ≤ Z ≤ b). Participants explore different methods for calculating this probability and express confusion regarding the appropriate approach to take.

Discussion Character

  • Technical explanation, Conceptual clarification, Debate/contested

Main Points Raised

  • One participant suggests that to find the area between two numbers, the calculation should be split into P(-∞ < z ≤ b) - P(-∞ < z < a).
  • Another participant notes that using P(a < z < +∞) is possible if one has the relevant tables, but emphasizes that most tables provide values in the other format.
  • A participant expresses confusion about applying the normal distribution to a practical problem involving storage space and shipment, questioning whether to use P(-∞ < z < 1310.5) or P(1279.5 < z < 1310.5).
  • There is a suggestion that the method of using areas under the curve can help clarify the calculation of probabilities between two values.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best method for calculating the probability between two values. There are multiple competing views on how to approach the problem, and confusion remains regarding the application of the normal distribution in practical scenarios.

Contextual Notes

Participants express uncertainty about the correct interpretation of probability calculations and the use of different forms of the normal distribution tables. There is also ambiguity in the application of these concepts to real-world problems.

Who May Find This Useful

Individuals studying statistics, particularly those interested in probability distributions and their applications in practical scenarios, may find this discussion relevant.

semidevil
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so w/ the normal distribution, to find the area between 2 numbers, say [tex]P(a \leq Z \leq b),[/tex], I need to split this up into 2:

[tex]P(-\infty < z \leq b) - P(-\infty < z < a).[/tex]

my question is, why is it not [tex]P(a < z < +\infty)[/tex]?
 
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You could do it that way, if you had tables of values for [itex]P(a < z < +\infty)[/itex], but mostly things are tabulated the other way.

Also:

[tex]P(a < z < +\infty) = 1 - Pr(-\infty < z < a)[/tex]
 
Last edited:
James R said:
You could do it that way, if you had tables of values for [itex]P(a < z < +\infty)[/itex], but mostly things are tabulated the other way.

Also:

[tex]P(a < z < +\infty) = 1 - Pr(-\infty < z < a)[/tex]


so I'm getting confused. I have a question regarding storage space and shipment. they are asking what is the probability that the next shipment will be enough, but at the same time, not overflow the storage space.

so basically [tex]a < z < b[/tex]. so in my problem, it has to be [tex]1279.5 \leq Z < 1310.5[/tex]

so first, I break it up, and do [tex]1279.5 < Z < \infty[/tex].

on the second part, do I do [tex]-\infty < z < 1310.5[/tex] or do I do 1279.5 < z < 1310.5 [/tex]

to me, I think the second one is right...but the way the book is doing it, it seems like it is sayingi f I want to know between a and b, I need to -inf < z < b and also -inf < z < a, which doesn't make that much sense...
 
i f I want to know between a and b, I need to -inf < z < b and also -inf < z < a, which doesn't make that much sense...

Maybe there's a way to use those two quantities to determine what you want to know.
 
Think of the probability as the area under the bell curve. You want the area between a and b. You have the area between negative infinity and a, and between negative infinity and b. So...
 

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