Different types of software are designed for both qualitative and quantitative research. Role of computers in research 1. Tools can be assessed using mathematical analysis, or empirically (Princeton Robustness Study) • The traditional focus of Statistics … Statistics deals with numerical data, binary numbers and logarithms and computer science students needs it for programming.Basically, most of the principles of computer sciences are based on concepts of statistics. In methodology research Computer Science plays a role that is comparable to the role of Mathematics. Computer software packages help researchers analyze raw data. Introduction It is common to describe the impact of the computer on statistics and on the teaching of statistics as a revolution. Many entry-level statistician roles require candidates to hold a master’s degree, usually in statistics or mathematics. There are many sources of software. Statistics is the scientific application of mathematical principles to the collection, analysis, and presentation of numerical data. All the necessary data can be obtained in a short time such as information about people, services, economic planning, and land development projects and for planning and decision making. Finally, statisticians analyze, interpret, and summarize the data using computer software. Research works were time-consuming, expensive and required lot of energy in the absence of computers. "The advent of the computer has certainly revolutionised the practice of statistics." This article is a brief overview of the role that computers have played in research and the ways in which they are helping unravel several scientific mysteries. Role of Computers in Government Government sector is one of the largest users of computer usage practices in implementing administrative matters. This scenario has changed with the arrival of computers and researches became more efficient and effective..Computers are used throughout in the It is very important to cooperate within study program in different subjects of computer science, statistics and bioinformatics. • Assesssment is an integral part of tool development. In this paper we show by example how cutting edge (but easy to use and comprehend) statistical methods can yield substantial gains in data mining. science, computer engineering, statistics, biology and bioinformatics subjects. Statistics and the Computer Lennart Rzide - Gothenburg, Sweden 1. Answer (1 of 8): Statistics is very important in computer science. Statistics play an important role in research of almost any kind because they deal with easily-quantified data. Data mining has, in the past, tended to use simplistic statistical methods (or even none at all). (Speed, 1985). 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