Statistics of mathematics is the branch that will be dealing with the study of collecting, interpreting, analysing and presenting as well as organising the data in a specific manner. Statistics is defined as the development of collection of data, classification of the data, representation of the data and further analysis of the data so that interpretation can be perfectly carried out without any problem. Statistics is also referred to as the concept of arriving at two different kinds of conclusions from the sample data with the help of experiments and surveys. Different sectors for example psychology, probability, sociology and several other fields are dependent upon statistics for basic functioning.

Statistics can be mainly utilised in terms of getting an understanding of the data and focusing on different kinds of applications. This is very well known as the process of collecting the data, evaluating the data and summarizing it into the mathematical form so that there is no issue at the later stages. Mathematical statistics will apply mathematical techniques like probability, analysis, differential equations and several other kinds of things. Broadly it can be categorised on two main parameters which are explained as:

**Descriptive statistics:**This will be the method that can be used in terms of describing the data which has been collected so that summarization of the data can be carried out in different properties of measuring central tendency is can be implemented.**Inferential statistics:**This will be the method that will be perfectly based upon concluding the data and it will also be based upon implementing different kinds of testing systems so that people can find out the conclusions very easily and efficiently.

The collection of all the observations into the data and facts will be a very basic component of the statistics but apart from this people also need to be clear about different kinds of collection methods So that presentation can be perfectly undertaken in following are some of the very basic models of statistics about which people should have a clear-cut idea:

**Skewness**: This is the measure of asymmetry into the probability distribution where it will be measuring the deviation of the usual distribution curve for the data. This particular value can be positive, negative or zero and the curve is said to be skewed whenever it will be shifting from left to right. It is very much essential for the people to be clear about this particular system.**ANOVA statistics:**This is known as the analysis of variance and will be used in calculating the mean variation for the given set of data in the world of statistics. This particular model can be perfectly used in terms of comparing the performance of stocks over some time.**Degree of freedom:**This particular model will be used in terms of checking out when the values have to be changed and the data can even be moved at the time of estimating if the parameter is the degree of freedom.**Regression analysis:**This particular model will be based upon utilisation of the statistical procedures which will help in determining the relationship between different variables and this process will help in signifying how the dependent variable changes into the independent one.

It is also very much essential for the people to be clear about different kinds of measures of central tendency so that measures of dispersion can be implemented very easily. The central tendency measures can be perfectly classified into:

- Harmonic mean
- Geometric mean
- Median
- Arithmetic mean
- Mode of the data

Hence, being clear about the basic aspects of the statistics is very much important so that kids never get confused and are very much capable of fulfilling the overall purpose is very easily. Apart from this people also need to be clear about the calculation of standard deviation so that they can solve the questions very easily and further depending upon Cuemath is a good idea to become masters of this field.