After being familiar with the various methods of collecting samples in order to get quantitative data, researchers must now evaluate and interpret the sets of numerical values that they have at their disposal. Researchers should be able to answer the "what" and "how many" questions they have about the issue as a result of the analysis, which distinguishes it from Qualitative Research in that it provides quantitative answers. It is critical to follow the main procedures in evaluating quantitative data since these quantities have a great deal of significance in your investigation. The following are the actions to take while assessing your quantitative data. Step 1: Organizing and Preparing Data Following the use of one of the sampling procedures described in the preceding sections of this Article, your data should be drawn and prepared for use in your research project. The data and outcomes should be written down or noted in a document, and data sets should be indicated through legends to aid in understanding and clarity of the information. Step 2: Analyze and Interpret the Data Descriptive statistics and inferential statistics are two types of statistical analysis that may be used to analyze quantitative data. It is the former that is used to describe data sets and to summarize them in an orderly manner, whereas the latter takes a portion of the whole in order to make generalizations about it, which is usually presented through probability distributions and hypothesis testing as well as regression and correlation testing. The researchers will then conduct a review and exploration of the information gathered. You should also see our research proposal action plan. Step 3: Data Categorization according to Themes It is critical to code your data in a way that allows them to become much more tied to the problem that your study is attempting to solve in order to better identify the information you are working with. One method of accomplishing this is by categorizing and labeling your data sets according to the source from which they were derived. In order for your data presentation to be more logical and clear, this is a critical step in the process to complete. You should also see our research action plan. Step 4: Data Display and Presentation Models may be used to make your data more concrete and easily measurable, and they are available for purchase. Following the use of analytical procedures, graphical approaches are developed in order to portray data. The type of data you are displaying will determine whether you use a bar chart, pie chart, numerical table, or any other graphical presentation of your choosing to accomplish this. Each of these models has a unique focus of data that is best shown using the model in question. You should also see our research progress report.