Page 144 - DLIS401_METHODOLOGY_OF_RESEARCH_AND_STATISTICAL_TECHNIQUES

Unit 9: Presentation of Data

Notes

Did u know? When available information is stored in database tables containing rows
and columns, Multivariate Analysis can be used to process the information
in a meaningful fashion.

Multivariate analysis methods typically used for:
• Consumer and market research.

• Quality control and quality assurance across a range of industries such as food and
beverage, paint, pharmaceuticals, chemicals, energy, telecommunications, etc.
• Process optimization and process control.
• Research and development.

With Multivariate Analysis you can:
• Obtain a summary or an overview of a table. This analysis is often called Principal
Components Analysis or Factor Analysis. In the overview, it is possible to identify the
dominant patterns in the data, such as groups, outliers, trends, and so on. The patterns
are displayed as two plots.
• Analyze groups in the table, how these groups differ, and to which group individual
table rows belong. This type of analysis is called Classification and Discriminant Analysis.
• Find relationships between columns in data tables, for instance relationships between
process operation conditions and product quality. The objective is to use one set of
variables (columns) to predict another, for the purpose of optimization, and to find out
which columns are important in the relationship.

Notes The corresponding analysis is called Multiple Regression Analysis or Partial Least
Squares (PLS), depending on the size of the data table.

Tools for Multivariate Analysis
Among the various, multivariate tools available, The Unscrambler stands out as an all-in-one
multivariate data analysis software product. This product and related ones from CAMO are
proven tools that have enabled different organizations solve their Multivariate Analysis requirements.
The main use of TABLES is to obtain univariate or bivariate frequency tables with optional
row, column and corner percentages and optional univariate and bivariate statistics. Tables of
mean values of a variable can also be obtained.

Task Explain unvaried and multivariate tables.

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