- #1
n00bcake22
- 21
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Hello Everyone,
My statistics is terribly rusty so I am turning to all of you for assistance! I am in the process of reviewing my old text but I figured this may be quite a bit quicker.
Suppose "x" is normally distributed with "mu_1" and "sigma_1." Now suppose x is measured with a device whose output is also normally distributed where "mu_2" equals the true value of x and has a standard deviation of "sigma_2."
I am trying to figure out how to find the total probability that the measurement device will say x < "a" (some value < mu_1) when in fact x >= a (i.e. a false negative).
If that makes sense...
I know how to determine P(x < a) for the x-distribution alone and could determine the probability of the false negative if I was given a particular, known x-value but I have no idea how to find the TOTAL probability of false negatives when x >=a but not exactly known. This has been driving me crazy all morning.
Thanks in advance Everyone!
My statistics is terribly rusty so I am turning to all of you for assistance! I am in the process of reviewing my old text but I figured this may be quite a bit quicker.
Homework Statement
Suppose "x" is normally distributed with "mu_1" and "sigma_1." Now suppose x is measured with a device whose output is also normally distributed where "mu_2" equals the true value of x and has a standard deviation of "sigma_2."
I am trying to figure out how to find the total probability that the measurement device will say x < "a" (some value < mu_1) when in fact x >= a (i.e. a false negative).
If that makes sense...
Homework Equations
The Attempt at a Solution
I know how to determine P(x < a) for the x-distribution alone and could determine the probability of the false negative if I was given a particular, known x-value but I have no idea how to find the TOTAL probability of false negatives when x >=a but not exactly known. This has been driving me crazy all morning.
Thanks in advance Everyone!