Description

Throughout this specialized document, the author provides you with the best method and tools to plan and execute data collection and analysis which are correlated to the business practical studies and/or academic research.

The quantitative data in a raw form convey very little meaning to most people. These data, therefore, need to be processed to make them useful by turning them into information. Quantitative analysis techniques such as frequency tables, graphs, and statistics allow to explore, present, describe and examine relationships and trends within data. Moreover, many types of descriptive and exploratory statistics will be used to achieve the tasks effectively.

Worth to mention, this document is part of a first-class dissertation submitted to and assessed by Leicester University in UK. The analytical part was the strongest, and the dissertation had received the A-grade. So, that is the key drive to publish it by the author at our website to share benefits. It is perfect for the decision makers, marketers, senior managers, researchers, students and postgraduates.