Pretty basic question Im sure, but I cant wrap my head around it.
Hey guys, so this is a data set that I was given. The question is asking me to determine the probability of picking a fiction book first, and then picking a hard cover book second. No matter what happens, the probability of picking a fiction book first will always be (72/95), however the probability of the second choice depends on what the first hard cover book was. Below I have attached a picture of a tree diagram I drew because I thought it may be helpful.
The tree diagram below is related to a different problem, which I actually understood. The problem statement wanted to know the probability of someone testing positive and actually having a disease. 3% of the population actually have the disease, 97% don't. The test they use is 99% accurate when the subject tests positive and 98% accurate when they test negative. I understand that if we want to know if someone who tests positive actually has the disease we need to take into account someone testing positive when they dont have it. Since we know what scenario we are after I understand why it ends up being .0297/(.0297+.0194) instead of .0194/(.0297+.0194)
The part that confuses me about the picking without replacement book problem is that we are not concerned about one specific scenario as in the disease question, also there was no picking with out replacement in that one so I do not know how that will play into all of it.
Let me know what you all think and if a tree diagram is the right was to go about answering this problem
Hey guys, so this is a data set that I was given. The question is asking me to determine the probability of picking a fiction book first, and then picking a hard cover book second. No matter what happens, the probability of picking a fiction book first will always be (72/95), however the probability of the second choice depends on what the first hard cover book was. Below I have attached a picture of a tree diagram I drew because I thought it may be helpful.
The tree diagram below is related to a different problem, which I actually understood. The problem statement wanted to know the probability of someone testing positive and actually having a disease. 3% of the population actually have the disease, 97% don't. The test they use is 99% accurate when the subject tests positive and 98% accurate when they test negative. I understand that if we want to know if someone who tests positive actually has the disease we need to take into account someone testing positive when they dont have it. Since we know what scenario we are after I understand why it ends up being .0297/(.0297+.0194) instead of .0194/(.0297+.0194)
The part that confuses me about the picking without replacement book problem is that we are not concerned about one specific scenario as in the disease question, also there was no picking with out replacement in that one so I do not know how that will play into all of it.
Let me know what you all think and if a tree diagram is the right was to go about answering this problem