In order to understand data and present findings in an accurate way, researchers and managers need to develop an awareness of statistical analysis techniques. This chapter focuses on two sets of the most widely used statistical tools – exploring relationships and comparing groups. It also briefly explains the nature of Big Data. This chapter explores the data preparation approach, how to conduct preliminary (descriptive) analysis as well as introducing some of the main statistical techniques used in quantitative research in business management. The key issues that should be related back to your study question are a) how to prepare your data; b) how to conduct preliminary data analysis; c) what analyses are appropriate for comparing groups; ...
Statistics are quantitative methods of describing, analyzing, and drawing inferences or conclusions ...
Over the past decade, computer supported data analysis by statistical methods has been one of the fa...
In recent years, statistical techniques and methods for data analysis have advanced significantly in...
This book offers postgraduate and early career researchers in accounting and information systems a g...
This book offers postgraduate and early career researchers in accounting and information systems a g...
Here is a basic introduction to a variety of elementary statistical techniques, including those for ...
The researcher has done the research on Statistical Methods Quantitative Techniques in Business and ...
The era of Big Data has received much attention due to its ability to transform business operations ...
Data analysis and mathematical techniques play a central role in quantitative data processing. Quant...
Big Data holds a great potential to gain the insights of various academics and practitioners to enha...
This chapter describes statistical procedures commonly used in nursing and midwifery research: descr...
Book synopsis: This clearly written textbook clarifies the concepts underpinning descriptive and inf...
This purpose of this guide is to help university students, staff and researchers understand the basi...
Numbers are meaningless unless we analyze and interpret them in order to reveal the truth that lies ...
The intention of this chapter is to demystify quantitative research and give readers clear, straight...
Statistics are quantitative methods of describing, analyzing, and drawing inferences or conclusions ...
Over the past decade, computer supported data analysis by statistical methods has been one of the fa...
In recent years, statistical techniques and methods for data analysis have advanced significantly in...
This book offers postgraduate and early career researchers in accounting and information systems a g...
This book offers postgraduate and early career researchers in accounting and information systems a g...
Here is a basic introduction to a variety of elementary statistical techniques, including those for ...
The researcher has done the research on Statistical Methods Quantitative Techniques in Business and ...
The era of Big Data has received much attention due to its ability to transform business operations ...
Data analysis and mathematical techniques play a central role in quantitative data processing. Quant...
Big Data holds a great potential to gain the insights of various academics and practitioners to enha...
This chapter describes statistical procedures commonly used in nursing and midwifery research: descr...
Book synopsis: This clearly written textbook clarifies the concepts underpinning descriptive and inf...
This purpose of this guide is to help university students, staff and researchers understand the basi...
Numbers are meaningless unless we analyze and interpret them in order to reveal the truth that lies ...
The intention of this chapter is to demystify quantitative research and give readers clear, straight...
Statistics are quantitative methods of describing, analyzing, and drawing inferences or conclusions ...
Over the past decade, computer supported data analysis by statistical methods has been one of the fa...
In recent years, statistical techniques and methods for data analysis have advanced significantly in...