QUANTITATIVE METHODS

Quantitative Methods - Assignment

Quantitative Methods - Assignment

Introduction

The study relates to quantitative analysis of the data, which aims to find the important aspects presented in the given data. For that quantitative analysis, it is important to know that the data analysis helps in clarifying description of the data that is observations, measurements or other facts. The analysis often involves large data sets and use like statistical software that is SPSS. It is a theoretical in the sense that the methods attach little or no importance to the data's nature or theories which may be about their relationship. It is also often a theoretical in that explicit statistical modeling avoided that is statistical inference. After completing this quantitative analysis of the data, it will help in gaining knowledge of statistical principles and techniques to gather, visualize, correlate and summarize data; help in the ability to analyze and interpret data and relationships between variables; provide knowledge of the concepts of chance, probability and random variable and basic laws describing them. Besides it, it will also help in gaining knowledge of the conditions and methods to draw conclusions based on statistical methodology and also the practical skills in using statistical software to apply these principles and techniques and practical skills to manually solve problems based on small data sets.

Data analysis is focused not only on the analysis itself, but also modeling and application of modern information technology in the analysis of large and complex data sets; the focus is mainly on:

Clinical data, especially data from clinical registries, where division provides comprehensive data processing by descriptive statistical analysis to assess risk factors and multivariate forecasting models. The separate areas of activity are assessing the epidemiology of serious diseases and related ecological and human risk assessment.

Modern methods of data analysis such as multivariate data analysis, modeling, information extraction and knowledge in applications to biological and clinical data.

Environmental and ecological data; this area includes analysis of biodiversity, analysis of data through biological and chemical monitoring, including the development of models of ecological assessment, spatial models and evaluation of environmental and human risks.

Data analysis provides services to its partners in data analysis from the data collection and analysis through preparation of reports and presentations to collaborate on scientific publications. In accordance with its mission, the analysis of data focuses primarily (but not exclusively) on the processing of data from clinical research, biology and environmental sciences.

Database and Variables

The variables that are included in the study entail the following:

Advertising

Countries

HR data A

HR data B

Workplace A

Workplace B

Besides it, the other subset variables which are associated with the above given variables include the following:

Remove admin

Remove financial services

Remove HODS

Remove production

Remove sales

Descriptive Statistics

Data analysis can be considered as the most important part of our research. Descriptive analysis of the data is the first step in the analysis of quantitative data. It shows us a simple frequency distribution for each variable. We find for example, the percentages of respondents are satisfied with the service in the library, how many percent are satisfied by both men ...