mens average weight normally distributed...mean 170 and St. Deviation 30.?
921201
If 1 man is chosen, then the z score would be\n\nz = (180-170)/30 = 0.33\n\nThe area to the right of this value is 0.3707.\n\nIf 100 men were chosen, then the sample mean has a normal distribution with a mean of 170 and a standard deviation of 30/sqrt(100) = 3.\n\nz = (180-170)/3 = 3.33\n\nThe area to the right of this value is 0.0005.\n\nThe z score for the other part is\n\nz = (160-170)/3 = -3.33\n\nThe area to the left of this value is 0.0005.
650084
im assuming u r asking how much u should weigh...?\ndepends if u r male or female, check out the link below, these are the standards
623028
Answer is 10.2% of the sample(25) have a mean score within 3 points of the population mean score of 220.\n\nSD=10 --> 34% (normal distribution)\n   3 from mean = 3/10 x 34% = 10.2%.
520848
You may find charts or graphs that gives general numbers but that is not accurate.  It depends on how much muscle mass you have, how active you are.   They go by height and weight but a very muscular person will weigh alot more than a sedentary person.  You should be able to tell by looking in a mirror.  Don't get caught up in the numbers!
980615
Typically 14-18 g/dl for males and 12-16 for females. Note that these are only reference values, which are based on the avg. values of a given # of healthy patients. But what is "normal" for any given person actually depends upon the individual, since no universally standard value has been established. Reference values also vary from lab to lab, this just happens to be ours.
883654
If the claim is correct, then the mean of samples of size 25 has a normal distribution with a mean of 10 (the population mean) ounces and a standard deviation of 0.5/sqrt(25) = 0.1.\n\nz = (10.15-10)/0.1 = 1.5\n\nAccording to the standard normal table, the probability is 0.0669.\n\nThis is due to the fact that the population is normal.\n\nedit: You guys, it is not three sd's above.  You have to think in terms of standard error.  It is 1.5 standad errors above.  Do the math.
1063089
It depends on your age and build but average should be 59.1 kgs which is 130lbs. It could also range anywhere from 53.2 to 65 kgs ( 117 to 143lbs).
401086
sounds healthy to me. the weight guides are not very accurate most of the time. as long as someone is healthy and comfortable with themsellves- then thats the perfect weight for them. 237 is not excessive for a guy that tall.
194308
As a rule of thumb, when I grew up we figured a decent weight was height (in cm) - 100. For your ideal weight you were supposed to subtract 10% if you're male and 15% if female. \nCompared to modern BMI standards this is a bit to generous - they expect you to be thinner, but it certainly worked well for me (when I am at my perfect BMI people desperately want to feed me, I am way too thin).  Since there are also differences in individual build, there is always more leeway than any of weight-height table seem to be willing to give you. \nJudging from personal experience, I feel that you're at worst SLIGHTLY overweight (but perhaps not at all). Fat or obese - NEVER.
556500
50%\n\nThe mean is 200 with a deviation of 50 either way.  That means that the chances are 50 percent that the rating will be higher than 200 and 50 percen the rating will be lower than 200 because 200 is the mean.
739982
sin 30= weight at end/ actual weight\nactual weight = 20/ sin 30\n= 40
78300
On the average, an adult human male who weighs 70 kg. has a blood volume of about 5 liters, or a little more than 5 quarts.\n\n(Taggart, Starr and Cecie Starr. Biology: The Unity and Diversity of Life. California: Wadsworth, 1989: 398.)\n\n\n\nAn other Bibliographic Entry says \n\nBlood represents about 7% of the body mass or about 4.5 kg (volume ~ 4.4 liters) in a 64 kg (141 lb) person.\n\n(Cameron, John R.; James G. Skofronick & Roderick M. Grant. Physics of the Body. Second Edition. Madison, WI: Medical Physics Publishing, 1999: 182.)
40566
The above answer is correct, on average. \n\nAn OLD rule of thumb (penis?) was to assume 1" of length for every foot of a man's height.
107133
You have all the information you need.\n\nThe Mean is the same as the average. It's just another term for a simple average. So it's $7500\n\nThe standard error of the mean is the standard deviation divided by the square root of the number of samples. So it's just $650 divided by 10, or 65.
75923
In order to use the standard normal prob. chart, you need to subtract the mean and then divide by the std dev.\nP(X>125) = P( Z > (125-110)/15 ) = P(Z>1) \nDon't forget that the tables tell you the area to the left (i.e. <), but you can look up the area to the left and then subtract that value from 1 to get the area to the right.  In other words:\nP(Z>1) = 1 - P(Z<1) \nP(Z>1) = 1 - 0.841345 = .158655\nAlmost 16% of infants have birthweights above 125 oz.
786357
The mean is simply the average of the data.  Add them all up and divide by 15.\n\n69.54
189376
Hi,\n\nA fitted value is the mean (Average)\n\nOf a statistics, I know it's confusing sometimes!!\n\nCheers!!\nHope that helps!!