The Effect Statistical Methods in the Era of Big Data

Abstract

To develop a statistical theory, mainly because not all observed, need sampling, sample need to infer that overall, developed a number of methods. The advent of the era of big data seems to make statistics become marginalized. Explosive growth and hardware of the amount of data storage technology for the development of a large amount of data has become a potential infinite wealth, people from all walks of life are said himself in the large data. But must be clarifying at the beginning: the big data and means comprehensive, accurate and true. Statistics on the vitality of big data and application value has a vital role. The data is not equal to information or knowledge. Big data is very large, usually because it is automatically collected, this also means that a lot of noise. This is sometimes referred to as DRIP - Data Rich Information Poor. Statistician will tell you relevant causality can't be replaced, if you don't know how to produce relevant relations, also don't know when it will disappear.