Estimate the probability that a randomly selected adult person in the U.S. will be afflicted with asthma.?
92928
"5.3% of US adults are affected by asthma"-www.chestjournal.org/cgi/content/full/125/6/1972\n\nIf this 5.3% is randomly distributed (which we may as well assume it is) then this statement is precisely equivalent to saying "the probability of a randomly selected adult in the U.S. being afflicted with asthma is .053."
894302
That's part of life as a grown up. You will deal with random drug tests, random hearing tests, random all kinds of things with a job.. & a lot of times it will just be one person..
1180637
I was answering another similar question, and I came across a website that has a downloadable sample spreadsheet for doing statistical distributions.  Play with this and see if it helps you out.
552270
would calculate your chance of me calculating a statistics question for you at 1234.367:1
600962
it depends on the odds.
782240
Asthma? Smog? Smoking? Not nearly enough info.
777500
1) \n    a) The probability that the first one is not right is 7/8, the next is\n6/7 since there are 6 chances of getting the wrong one out of the remaining 7. The next is 5/6, then 4/5, 3/4,2/3,1/2. The probability of all these events happening is\n 7!/8! = 1/8\nMy colleagues who answered prior to my answer fail to\nrealize the difference between dependent and independent\ndistribution. In this case we have dependent distribution since each time a letter and envelope is matched we have 1 less\nof each to choose from.\n\n\nb) The probability that at least one envelope right is the additive\ninverse of the probabilty of no envelope getting it right based on\nall probabilities which 1. So 1 - 1/8 = 7/8.\n\n2)  The probability that no 2 have the same birthday is  computed like this. Based on a 365 day year just to make it reasonable. \n  First person - any day. \n Second - 364/365 'cuz 1 day is eliminated by the first one\nThird -363/365   'cuz 2 days are eliminated by the first two\n etc.\n The probability of no two the same is therefore\n (364)(363)(362)...(346)/365^19 = .588
101065
BMI alone cannot predict your risk for disease.  Other physical (exercise capacity, family history, etc.) and behavioral characteristics (smoking, drinking/driving, sexual activity, etc.) are required to estimate your risk.\n\nYou may be interested in these free online health risk estimators:\n\nhttp://www.yourdiseaserisk.harvard.edu/
830201
Look at one of these sites, and contact persons listes on them:\nhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16935061&dopt=Abstract\nhttp://www.amedeo.com/medicine/reh/arpmre.htm\nhttp://bjsm.bmj.com/cgi/content/full/39/6/373\nhttp://bjsm.bmj.com/cgi/reprint/39/6/373.pdf
118042
randomization is a myth, try doing something randomly and you have picked a path. observation is just that you would not have input to the study.
328978
since you listed this question under Diabetes, your lucky numbers are between 80-140.
930268
For intents and purposes the above 2 are correct, but just\nto be absolutely correct you would have to know the population of the town. Because after the  first pick of a person, the\npercent of people having insurance is slightly less than 60%, And\nafter the second person is picked the probability is even less than that of the second pick.  This is called a dependent distribution because each subsequent pick has a probability\nsomewhat altered by the previous pick.\n  Now suppose the population of adults is n. The first pick has a probability of .6, the next is (.6n-1)/(n-1) and finally  (.6n-2)/(n-2).\n\n   Total  probability : (.6)(.6n-1)(.6n-2)/{(n-1)(n-2)}   Everyone in your class will give (.6)^3 and you may also. But just to be a smart a__ you can show off with this. Remember me well.
523865
You probably will have PFT's, Pulmonary Function Tests, where you will breath in and out of equipment that allows the technician to record your lung capacity, and other measurements.  The doctor also will listen to your lungs to determine the extent and kind of weasing, crackles, and other indications.  You probably will have a chest xray (CXR), possibly a CT scan. Be sure you understand what the doctor tells you.  If you are prescribed asthma inhalers, such as Albuterol, Atrovent, Advair, and they don't really help you after a couple of months, then do get another opinion.  I know someone who was told she had adult onset asthma, then also some emphysema.  After three years of getting worse, she went to a university/teaching hospital and found that she had neither.  If you "think" you have asthma, then maybe your symptoms aren't too bad, but they can get much worse.  It's a good idea to keep a time record of significant problems or symptoms for future reference, and for your doc or a new doc.  Also obtain copies of test results to have in case you do go to a new doc.  Hope asthma is all you have, you can still have a basically normal life.
838103
yes lots of people use one as a guide to fitness and recovery time\n400 is in the range for a normal person asthmatics tend to hav much lower readings during an attack
852433
Fat chance on this site  :-)\n\n\n.
1030781
By reading your question, it appears that you are first and foremost seeking to "define" mathmatically what it is that you are attempting to do to reach your results-- presumably so that you can study that area of statistics further and apply it to your experiment.\n\nWith that in mind, what you are dealing with in your experiment is called "Event Probability."  In Event Probability, you are dealing with concepts of "conditional probability", "frequency", and "relative frequency."  For instance, what you are doing is very similar to the flow charts that appear in many family's medical books with a "Decision Tree" that allows you to answer "Yes" and "No" questions along a Flow Chart to reach an ultimate probability that you have a particular illness.  In other words, you are creating an algorithm by measuring the "relative frequency" of events and compound events and drawing a conclusion from that information.  People who perform these experiments are called "frequentists."  For all intents and purposes, this is what actuaries do at insurance companies and financial firms.  I'd read about those areas of statistics first which should prove very helpful in providing you with a structure for reaching the most helpful and accurate conclusions from your experiment.
406011
Tell your mom you want to live with your dad, her b/f smokes, you have asthma plus you're breathing in 2nd hand smoke. She may not mind being exposed to this and putting herself at risk for lung cancer and dying from it but you care alot more about your health than that.