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.
Data analysis is at the heart of any scientific investigation. Using weather as an example, this module takes readers through the steps of data collection, analysis, interpretation, and evaluation. The module explores how scientists collect and record data, find patterns in data, explain those patterns, and share their research with the larger scientific community.