using uniform distribution; diet varies between 5 & 10 Ibs. what is probability that more than 9 Ibs are lost?
140146
Uniform distribution? So if 5, 6, 7, 8, 9, and 10 lbs of loss are all statistically equal, then since there are 6 'numbers' of weight loss, the probability would be 1/6. Think about when you flip a coin: heads or tails. Two options. Odds of it landing heads is 1/2. Same goes for tails of course.
136299
Just a medical warning, loosing too much wait in a short time can cause serious problems.\n\nThat said, I did it, did not try to but this is how.\n\nWorking during a very busy time at work 13 hour days, 7 days a week(so excersize) I had plain bagels (or like foods) for brunch. Dinners a quick salad. About every 3rd day or so (I had a few less hours) I would eat a normal, whatever I wanted meal.(I think thats what kept my metabalism up) Before I knew it my pants were getting baggy. All in all, 3 weeks, 27 lbs.\n\nBut again, Its dangerous.
506414
I answered this one for you earlier...\n\nYou have X ~ Bin(6, 1/6)\n\nas you have 6 trials, with the proability of success (a four) being 1/6\n\nYou then simply need to stick this in the formula:\n\nP(X = x) = nCx × p^x × (1-p)^(n-x)\n\nIn this case you want the probability of 2 fours:\n\nP(X = 2) = 6C2 × (1/6)² × (5/6)^4 = 0.2009
577048
depends you take away 3 and give it to whom? if to u keep it to urself then you have 5...if you eat the 3 then you have two...if you take the three away and leave the two you have 3...now im confused!
764469
X follows a Binomial distribution with n = 10 and probability of success p = 1/6
1061162
it is a conditional probablility problem.  if you select a defective on your first pick (3/12), there are only 11 left, 9 of which are not defective.  so the probablility of not picking a defective on your second pick given that you picked a defective the first tome is 9/11.
960827
Both answers above are wrong.  It's obvious that the quality control will inspected the random samples without replacements.\n\nso the probability that shipment is not rejected is:  Probablilty of not picking up defected product the first time (95 out of 100) time prob of not picking second time (94 out of 99) etc\n\n95/100 * 94/99 * 93/98 * 92/97 * 91/96 *90/95 * 89/94 * 88/93 * 87/92 * 86/91\n\n= 0.584\n\nThe probabiliyt of shipment being reject is just 1- P(not rejected)\n\n= 0.416
1060403
because 7 ate 9. thanks ; )
631161
This is a binomial probability.\nP(success) = 1/5, P(failure) = 4/5.  There are 6 events here, so P(2 successs) = (1/5)(1/5)(4/5)(4/5)(4/5)(4/5).\nP(at least 2 successes) = P(2 successes) + P93 successes) + . . . . P(6 successes) or 1 - P(O successes) + P(1 success) + P(2 successes) which you already computed above.\nLet me know if you don't understand.
952174
That is the central limit theorem.  Each distribution can be uniform, but the distributions themselves are normally distributed in their range, their value, their frequency.\nRead the attached link for more details.
107013
Maybe there's a trick to this, but if the probability is\n5%, then if (for example) you opened 100 boxes, you would\nhave "gotten something" 5 times (ie. 5% of 100 = 5).\n\nThat seems like you'd get something, on average, once\nevery 20 boxes.
311598
I'm not sure that you can.  Have you seen a gastroenterologist about this?  I have a friend who was very sick from this & she had to moderate her diet & has to be very careful of what she eats.  My gastro was checking for this & found that my B-12 was deficient.
464993
It's based on the patient's actual body weight and ideal or target body weight. \n\nThe first link below has excellent step-by-step notes on how to calculate IBW, and then goes on to help formulate a diet. The second also goes into the percentages of fat, carbohydrate and protein.\n\nTo be honest, as a medical resident, we used to just eyeball the person and pick one of the kitchen's standard meals: 1600, 1800 or 2000. Of course, when they were being discharged and seeing the diabetic nurse, they got a more personalized meal plan.
477157
Eating zero calories for five days then eating what every. is not healthy by any means. You're on the right track though.If you stick to a low calorie diet (1500 for women 2500 for men),and eat Six small meals your body will burn the food better. A small breakfast, morning snack,small lunch, afternoon snack, supper, evening snack Mostly because the will be smaller amounts of food to digest. You wouldn't over stuff your mouth. Same thing applies for you stomach. Wait a couple of hours before going to bed after eating. Also, you may be retaining water. Water pills will take care of that. These are some things that I have came across while assisting people in my command loss weight.
950716
The only way to fail to win at least one prize is to loose each time.\nThe probability that you will loose one time is 1 - 0.11 = 0.89.\nThe probability that you will loose 5 times is 0.89^5.\nSo the probability that you will win at least once, or fail to loose all 5 times, is 1 - 0.89^5 = 0.44
332575
A frequency distribution describes how often the potential responses occured.  The distribution might NOT be simple bell curve.\n\nIf you had a room full of people, and you counted how many of them weighed less than a 100 lbs, then you counted how many weighed between 100-110, then how many between 110-120, and kept counting until you had counted all the 10-lb groups, you would have a frequency distribution.\n\nThe distribution is normally displayed by making a bar graph with a bar for each group, in this example, a bar for each 10-lb group.  The bar is as tall as the number of people counted in that group.
153759
How much weight are you talking about. I mean 5 pound 100 pounds. I can promise you that you can lose it quicker then you gained it. It sounds like you are being unrealistic with this 10 day thing.