Statistics is an integral part of all research studies, a discipline that all researchers and scientists commonly use to analyze their data and arrive at the desired research findings and effectively present meaningful conclusions. Statistical techniques , presently, play a central part in the majority of scientific disciplines and are frequently utilized to support hypotheses in order to provide credibility to research methodology and conclusions arrived from these studies. Thus, many researchers and scholars are keenly interested In Statistics and its various methods and analytical techniques to ascertain the credibility and usefulness of the data and information collected from their respective research studies. This short guide provides essential information relating to important statistical concepts like sampling methods, the role of statistics in scientific research to facilitate them to conduct a well-designed statistical research. What is Statistics? Statistics...

Tremendous amount of data has been collected by organizations all around the world thanks primarily to the World Wide Web! This collection is useless unless it is analyzed to see a pattern. It is important for decision makers, researchers and policy makers throughout industry, academia and Governments to integrate the huge collected data to suit their needs.  A good software  provider will seek to understand your organization’s unique needs and work with you to find the most cost-effective solution. How does one decide the best statistical software to use? There are questions of price, time available to learn to use it and most importantly the nature of data. Excel is quite a powerful instrument often used in biomedical research to combine large volumes of data. It does contain some  basic statistical analysis  and could serve for simple inferences. Data can be exported into an excel spreadsheet, making it easy to test or determine the dispersion...

Statistics are handled efficiently in myriad ways in the field of data analysis. Statistical analysis is a module of data analytics. A representative selection from a total population is drawn and the data collected is scrutinized so that the sample data speak for a set of items dealt with, in the framework of business intelligence. It involves a description of the nature of data that is to be analysed, drawing a parallel between the sample data selected and the underlying population, coming up with a model that recapitulates the understanding of how the sample data is in regard to the total population, substantiating the standpoint that the model is reliable, and making use of predictive analytics in order to enlist possible scenarios that make the study relevant, paving the way for further research. Demography and statistics are yet another link that is often explored, making utmost use of statistical data analysis services for the population study, research, administratio...