Testing of therapies for disease or injury often involves the analysis of longitudinal data from animals. Modern analytical methods have advantages over conventional methods (particularly when some ...

The recent introduction of SPSS for Windows allows for data analysis to be employed in substantive courses as well as methods courses. Data analysis using SPSS for Windows complements the otherwise ...

The importance of Introductory Statistical Procedures with SPSS guidebook is that it is simple to use and requires no prior knowledge, while yet presenting the core concepts of statistical theory with ...

SPSS is the name of a series of software packages used for data analysis. Its main selling point is that it allows scientific researchers, teachers and students to quickly analyze data without needing ...

The field of data analytics is developing rapidly. With the rise of ever larger and more specialised datasets, it’s essential to understand how to collect, handle, evaluate and interpret data to ...

James McWhinney is a long-tenured Investopedia contributor and an expert on personal finance and investing. With over 25 years of experience as a full-time communications professional, James writes ...

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Research firm Gartner defines ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...