I was assigned to do “Statistical Analysis System (SAS)”
By Day 1 of Week 1, your instructor will assign you a statistical package from the list below for this discussion. There are many statistical software packages available to help you compute different types of data. Some are free and some can be obtained at a proprietary cost.
Some of the more popular packages are:
- Statistical Package for the Social Sciences (SPSS)
- Microsoft Excel
- Statistical Analysis System (SAS)
- Number Cruncher Statistical System (NCSS)
- Minitab
- STATA
- Name of statistical package
- History of its development
- Intended use
- Key Features
- Types of analysis available
- A list and purpose of products
Your initial response should be a minimum of 300 words and address all components of the discussion. In addition to the textbook, utilize a minimum of two scholarly sources to support your points. Cite and reference your sources in APA format as outlined in the Writing Cente
Expert Solution Preview
Introduction:
Statistical analysis is vital in the field of medicine as it helps in the interpretation of research findings and decision-making processes. In this discussion, we will focus on the Statistical Analysis System (SAS), its history, intended use, key features, types of analysis available, and a list and purpose of products.
Statistical Analysis System (SAS) is a software suite that was developed by SAS Institute for advanced analytics, data management, and business intelligence. The company was founded more than four decades ago in North Carolina, and SAS software was initially designed for analyzing agricultural data.
The intended use of SAS is for analyzing, manipulating, and presenting data. SAS is used in various industries such as finance, healthcare, life sciences, and education. In the field of medicine, SAS is employed for analyzing clinical data and performing statistical analysis on the results.
Key features of SAS include data management, reporting and analytics, business intelligence, predictive analytics, and statistical analysis. SAS has a comprehensive set of tools for data management, which makes it easy to navigate and analyze data from various sources.
SAS offers a broad range of statistical analyses that include parametric and non-parametric tests, regression analysis, and survival analysis. SAS software also includes a range of visual analytics features, including interactive data visualization and exploratory data analysis techniques.
SAS provides a broad range of products that are categorised into SAS Enterprise Business Intelligence, SAS Analytic Solutions, SAS Data Management Solutions, and SAS Industry Solutions, among others. The purpose of these products is to provide customized, industry-specific solutions to SAS users.
In conclusion, SAS is a statistical software package developed by SAS Institute for advanced analytics and data management. Its intended use is for analyzing, manipulating, and presenting data, and it offers a broad range of statistical analyses that include parametric and non-parametric tests, regression analysis, and survival analysis. SAS has a comprehensive set of tools for data management, and it provides customized, industry-specific solutions to its users.
