One of the most interesting branches in the field of mathematics is the branch of statistics. Statistics deals with collecting, analyzing, interpreting, presenting and organizing of different data. When we say data, we mean all kinds of data, even designing surveys and experiments.

It is believed that statistics began developing very long ago, even BC. Research show that it all started in the 5th century BC. But the main development happened in the 18th century, when statistics was drawing more heavily from the calculus and some other theories, like for example the relativity theory. Statistics has a huge role nowadays as well, even with all the computer development. There are many programs that operate based on statistics and it is also used in working with big data, which is very popular lately.

That is why, we decided to give you some basic idea about what is actually statistics, how does it work and some other interesting information that you may find useful.

What you first need to know is that there are two main statistical methods which are used in data analyzing. The first one is descriptive analysis and the second one is inferential statistics.

Descriptive analysis is the process of summarizing data from a sample, with the help of using indexes. For example, the use of standard deviation as one part of the descriptive analysis. The inferential statistics on the other hand, focuses on drawing conclusions from data which are a subject to a random variation.

So, how does a standard procedure of statistic analyzing start? This procedure involves testing of a relationship which is created between two sets of statistical data. Another way for this procedure to be done is by comparing a data set and synthetic data. Synthetic data is data which is drawn from an idealized model.

Having in mind that statistics is part of mathematics, many people think that there are no errors in statistics and that all the numbers are always correct. Unfortunately, that is not always the case. Statistical data can sometimes generate information that is not correct. There are several types of errors that can happen during a statistical analyze. Some of them are random, like for example noise, and some of them are systematic, like the bias. Sometimes, even an analyst report can have incorrect units, which then influences on the overall statistical outcome.

The most important thing in statistics and its goal is to understand multiple sets of data. This activity includes plotting the data in many different ways. After that you should summarize the data and analyze what you see, using measures of spread. Some measures of spread are mean and median.

As you can see, there are many small parts of statistics, which build up everything as a whole. If you want to learn statistics, you must have a basic understanding of mathematical logic and calculus. People who don’t like mathematics and natural sciences, won’t like statistic either. You should always start simple, with learning the basics. You will have to think logically and you will not have a problem. In statistics, everything makes sense. It is the most interesting part of mathematics, since it focuses on analyzing situations which happen every day and in our everyday lives.

If you wish to start learning the basics, you can either start reading on the internet or find some interesting online courses on the popular courses pages. Make sure to choose a simple course which will not require basic knowledge in statistics, so that you make sure you understand everything correctly. You will love it.