The first two styles are known as âin-textâ citation styles, which means that you give some information about the source directly after the quotation, but leave the rest to a list of References (APA) or Works Cited (MLA) at the end of the paper.
A data analysis is a comprehensive summary of the results of your research and lists the main conclusions drawn from your tests and experiments. The analysis typically summarizes two main parts of a research document: data preparation and descriptive statistics (experimental studies) and inferential statistics (quantitative studies). The final section is the qualitative analysis that explains why some types of results are relevant.
Before we look at the methods and techniques of data analysis, lets first define what data analysis is. Data analysis is the collecting and organizing of data so that a researcher can come to a conclusion. Data analysis allows one to answer questions, solve problems, and derive important information.