BUSINESS ANALYTICS METHOD AND SOFTWARE Coursework

BUSINESS ANALYTICS METHOD AND SOFTWARE - Coursework ExampleSetting up complex statistical analyses on large information without prior identification of the objectives and knowhow about the suitability and possible outcome of the proposed analyses often renders misguide results. According to Albert Einstein, the formulation of a problem is often more essential than its solution which may be merely a matter of mathematical or experimental skill (Faraway, 2002). This report aims to explore the value of statistical software such as R and gain insights into the statistical methods such as multivariate analysis of variance (MANOVA) with as well as without regard to each other. The report will abide with a comprehensive overview of the R software, its advantages and disadvantages, current market trends in the software category and reflect active experience gained by its use. Next, the report will provide with a comprehensive overview of MANOVA, and advantages and disadvantages associat ed with it. Finally, the report will admit a step-by-step description on the implementation of MANOVA in R, followed by the conclusions.R is a calculator scripting quarrel and an interactive software environment formed particularly for statistical analyses, manipulation and visualization of data and results (Seefeld, 2007 Venables et al., 2008). The name, R, was used by Robert Gentleman and Ross Ihaka, while creating the R project at the Department of Statistics, University of Auckland, in 1995 (Owen, 2010). The language was mostly derived from two existing languages, S and Scheme, developed in 1985 and 1975, respectively. While addressing the issues involved in the design and implementation of these languages for statistical computing, the authors considered combining their strengths to produce another language. The resulting language, R, largely resembles S but is based on semantics and