I have might been sitting with this problem for too long, if it something I should be able to do "in my head".
You wrote I should just change some stuff around in question 2), but that is also dependent on the conditional probability from question 1)?
I express the defection rates of B and C in terms of A's defection rate (x1).
From your explanations I think it's correct, as 2) gives the same answer when I plug it in.
Alright, that was my conclusion as well. If they were all different, one would have to remain the same. So is my result in the last image correct? It does ensure that they are all equal to 1/3.
As I understand, it wants me to minimize the defective rate overall while ensuring the companies have the same probability of being identified with a defect apparatus.
Don't know if that helps.
Hello!
I'm sitting with a problem that is causing me some troubles..
First part is using Bayes formula.
We have 3 companies that produce some apparatus. Each company has some defective percentage.
Company
Produced (%)
Defective (%)
A
45
3
B
25
6
C
30
5
1) Suppose we pick up a...
Ahh, okay we always write it with other symbols. I have no idea why they changed it, but naturally I know what luminosity is.. :woot: Alright, so I set it equal LG = 3.839 * 1026 W and solve for(dR/dt)?
Thank you so much for explaining this!
No, I have no idea. I looking for it in the Virial Theorem section, but without any luck. It hasn't been mentioned in the chapter we've been reading this week.
Right, so I want to solve for (dR/dt) to get the change over time, so I can't multiply by dt on both sides to get energy on the left hand side. Not quite sure what to do with LG
Hello, I am trying to solve this question:
Assume that the Sun's energy production doesn't happen by fusion processes, but is caused by a slow compression and that the radiated energy can be described by the Virial Theorem: $$L_G = - \frac{1}{2} \frac{GM^2}{R^2} \frac{dR}{dt} $$
How much must...