The article describes the role of statistics as a science. The concept of kurtosis and its use in science is considered.
Statistics. Basic concept
Statistics is the base derivative ofmathematical science. This subject belongs to a number of public disciplines that are aimed at forming in students a picture of the worldview and competent analysis of events.
Statistics examines all possible processes andevents in people's lives, identifies their patterns and presents everything in the form of short statistical reports. Such a science is socially useful and requires constant improvement. Excess - what is it? This is the basic concept in graphical statistics, which helps to determine the correctness of the perfect calculus. The excess should not have a strong deviation.
Statistics allow you to meet the needpeople in reliable information about this or that phenomenon, event and so on. Determining the dynamics of life factors, their decline, stagnation or growth - this is exactly what this science does.
In today's world, statistics take one of the mostthe main places in the scientific arena. Let's consider the concept of "excess". What is a statistical goal and observation? Where do these concepts apply? About all this, read further in the article.
What is the kurtosis in statistics?
Kurtosis is a statistical concept that represents the severity of each peak in the distribution graph. There is a special formula for its exact calculation.
The expectation is that, for moreuniform distribution of statistical data, the kurtosis must be equal to a positive number. Literally this concept means some deviation from the norm and further abnormal development or functioning of the statistical system.
Excessive expression of kurtosis on the statisticalthe graph can talk about incorrect research or about errors in the initial data of the graph. Such a concept has a scalar character, which means that for a finite rendering a number should be obtained that does not contain variables or auxiliary functions. This is what the excess looks like.
What is a symmetric and asymmetric distribution
Kurtosis, which is related to the distributionsymmetric type, is equal to zero. This can be shown graphically. The asymmetric graph shows a zero-off number. So the excess is indicated.
What is the sharpness of the peak?A graph that has sharp peaks indicates that the excess value is a number less than zero. Often there are situations where this concept can not be expressed in a separate meaning. In this case, it approaches a minus or plus infinity.
