Descriptive statistics in dissertation Types of descriptive statistics

17/05/ · In order to report descriptive and/or frequencies statistics, you need to outline all variables that you have used in your research and note whether those variables are continuous or categorical. For continuous variables, you are using descriptive statistics and reporting the measures of central tendency (mean) and measures of variability or spread (standard deviation). The method to numerically describe the features of a set of data is called descriptive statistics. It is, in other words, a summary of the data collected. It is widely used for descriptive analysis of data, along with graphic statistics. In these results, the summary statistics are calculated separately by machine. You can easily see the differences in the center and spread of the data for each machine. For example, Machine 1 has a lower mean torque and less variation than Machine 2. To determine whether the difference in means is significant, you can perform a 2-sample t-test. 9/01/ · Dissertation Data Analysis with descriptive statistical measures Using statistics properly in a research work is a skill. Even prepackaged statistical programs, like SPSS, Strata, Eviews and Excel need to be used thoughtfully. Descriptive statistics are useful for describing the basic features of data, for example, the summary statistics for the scale variables and measures of the data. In a research study with large data, these statistics may help us to manage the data and present it in a summary table. The method to numerically describe the features of a set of data is called descriptive statistics. It is, in other words, a summary of the data collected. It is widely used for descriptive analysis of data, along with graphic statistics.   