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The probability of getting the exact shape of the Gaussian bell shaped curve is 0. And that is true even if you use a billion dice. The curve from repeated throws of one die, or many dice will approximate the Gaussian curve and the approximation will get better as the number of trails increases.
However, the Gaussian curve extends to infinity in both direction and there is a very small but non-zero probability associated with these extreme values. You will not get an outcome that is infinite!
What else can I help you with?
When was The Global Bell Curve created?
The Global Bell Curve was created in 2008.
How many times do you have to roll two dice to get a statistical bell-curve?
There is no answer to this question. The greater the number of rolls, the closer you get to the bell-curve. But you will never ever actually reach the bell-curve.
What is the ISBN of The Global Bell Curve?
The ISBN of The Global Bell Curve is 978-1-59368-028-2.
How do you draw a bell curve?
A bell curve reaches its highest point in the middle and is lower on the sides. It can represent standard deviations from the mean.
Deviation IQ scores produce a normal curve that is shaped roughly like?
it is shaped roughly like a bell... a bell curve.
What is the shape of normal probability curve?
bell shaped
Why if a probability distribution curve is bell shaped why is this a normal distribution?
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
Is the total shape of a bell curve greater than 1?
It is assumed that by "shape" you mean "area". The quick answer is yes, probably. The "Bell curve" is called a Gaussian function (see related link). The area under a Gaussian is not necessarily 1; it can be anything. However, if you're talking about probability, where the probability distribution is in the same of a Gaussian, then the area under the curve must be exactly 1. This isn't however, because it is a bell curve, but because it's a probability distribution. The area under any probability distribution must always be exactly 1, or it isn't a valid distribution. The proper term for the total area under any curve f(x) is the integral from negative infinity to infinity of f(x) dx
What is a bell curve?
A bell curve is a symmetrical bell-shaped graph curve that represents the arrangement of values, how often something occurs, or probability of occurance of a set of data. It slopes downward from a point in the middle corresponding to the average also called mean value, or the maximum probability. Gather all the results of an IQ test and make a graph of them, would create a bell curve with average IQ being the mean value. The more results or values, the better the bell curve. It can be made with a line graph or a bar graph.
What is meant by gaussian function?
this function is extremely used in probability theory like this bell curve
If a probability distribution curve is bell-shaped then this is a normal distribution?
True * * * * * No. The Student's t-distribution, for example, is also bell shaped.
What requirements are necessary for a normal probability distribution to be a standard normal probability distribution?
The normal distribution, also known as the Gaussian distribution, has a familiar "bell curve" shape and approximates many different naturally occurring distributions over real numbers.
How would you describe the shape of a normal curve?
Bell-shaped, unimodal, symmetric
Would you ever get a normal curve bell shape that is perfect?
Only in theory.
What is the difference between an ordinary histogram and a commulative histogram?
the bell curve shape? anonymous
What is the shape of a normal distribution?
It is a symmetrical, "bell-shaped" curve. The tails are infinitely long.
Why is IQ a bell curve?
Nearly everything in nature can be measured on a bell curve. It is a natural tendancy that math tries to explain with the bell curve. The result of all our genes working together produces an individual. Some genes are more favorable to a high intelligence than others. Therefore the most common result is the apex of the curve, and the less common results have lower probability.
