According to the central limit theorem, as the sample size gets larger, the sampling distribution becomes closer to the Gaussian (Normal) regardless of the distribution of the original population. Equivalently, the sampling distribution of the means of a number of samples also becomes closer to the Gaussian distribution. This is the justification for using the Gaussian distribution for statistical procedures such as estimation and hypothesis testing.
The central limit theorem is one of two fundamental theories of probability. It's very important because its the reason a great number of statistical procedures work. The theorem states the distribution of an average has the tendency to be normal, even when it turns out that the distribution from which the average is calculated is definitely non-normal.
because it was
He didn't name it. It is named after Pythagoras because he first developed the theorem.
The Pythagorean theorem is used for many things today. For example, it can be used for building. Putting in flooring deals with squares and triangles using the Pythagorean Theorem. Some builders use this formula, because they can find the missing sides. The Pythagorean theorem plays an important role in mathematics, too. For example: -It is the basis of trigonometry -using the theorems arithmetic form, it connects algebra and geometry. -It is linked to fractal geometry His theorem is not only important in 2-D geometry, but also in 3-D geometry. Video games environments are drawn in 3-D using all triangles. i got this information from a website called: [See below for the related link to this website]. This website tells you all about how the Pythagorean theorem is used in modern day.
In the HA theorem A stands for angle. HA is a specific case of ASA, because if you know the angle A, then the other angle is (90-A).
The central limit theorem is one of two fundamental theories of probability. It's very important because its the reason a great number of statistical procedures work. The theorem states the distribution of an average has the tendency to be normal, even when it turns out that the distribution from which the average is calculated is definitely non-normal.
Because other than in a degenerate case, the maximum of a set of observations is not at its centre! And the theorem concerns the distribution of estimates of the central value - as the name might suggest!
Because otherwise the fundamental theorem of arithmetic, the unique factorisation theorem, would fail.
because your econometrics professor said so!
the mean is important in statistics because you will find out your average and can compare that mean to other things..
because they wont to work
Because it distorts statistics about overall economic performance.
Pythagoras's work was important in the field of math because he invented the pythagorean theorem, which explained square units in a triangle.
It is important today as it was in ancient Greece because Pythagoras' theorem states that for any right angle triangle when its hypotenuse is squared it is equal to the sum of its squared sides.
Statistics is very important because it helps companies focus on the bigger picture, helps in ensuring quality and helps in making connections. Statistics is very important in many companies because it helps in the streamlining and the production process.
No because the theorem was well known in ancient civilizations.
Bell curves are used because they represent an exactly normal distribution. A normal distribution means that all of the values are centered around a single mean value, with the probability density decreasing equally on either side of the mean. This is the distribution that is most widely used in statistics because it is often found naturally (truly random data follows a normal distribution), and also because it follows from the central limit theorem.