from the set of 1000 observatins known to be normaly distribued the mean is 534cm & sd is 13.5cm....
.how many observations are likely to exeed 561cm ? how many will be between 520.5cm & 547.5cm ? between what limit will the middle 50% of the observation lie?
On a normal a normal distribution curve 34.18% lie within one standard deviation above the mean and bellow the mean. 13.68% lie between one and two standard deviations. 2.1% lie between the two and three standard deviaitons.
If the standard deviation is 13.5 cm, then 561 would be 2 standard deviations. 1000 (50%-34.18%-13.68%)=21.4
Between 520.5 is three standard deviation less than the mean and 547.5 is one standard deviation from the mean. The number of observations would be 1000(13.68%+2.1%)=157.8
by jdiaz5 8 years ago
How do I determine the Standard Deviation and once i have it what does it tell me?I want to know the use of this and once i have it what does it tell me about my data?
by gjsammy 6 years ago
Once you have stnd deviation and mean how do you make the bell curve?How do you use the mean and standard deviation to make a bell curve?
by ngureco 7 years ago
How Do I Write The Formula For Standard Deviation And Variance Using Hubpages’ Editor?If It’s Not Possible, Do Hubpages Have Any Plans Of Making It Possible In The Near Future?
by Fritz Isaacs 5 years ago
How to calculate standard deviation?How do you calculate the standard deviation of a sample or set of numbers?
by sheshe32 6 years ago
Can any one help me with confidence intervals I have no idea how to do them?
by sandra rinck 8 years ago
Recently, Fox news sent out memos to their local news stations telling them that they have to report the same biased and fabricated news they report on the fox news channel. While surfing the internet for more information I ran into...
|HubPages Device ID|
|Login||This is necessary to sign in to the HubPages Service.|
|HubPages Google Analytics|
|HubPages Traffic Pixel|
|Google Hosted Libraries|
|Google AdSense Host API|
|Conversion Tracking Pixels|
|Author Google Analytics|
|Amazon Tracking Pixel|