Description is a method of describing (summarizing) data obtained for a study. In a descriptive statistics, it collects data where the data constitutes either from a sample or a population and finally it summarizes the data by using graphs and numbers such as averages and percentages. An example of descriptive statistics is the experimenter uses a bar graph that shows the percentage of preferences of yogists from different regions. It summarizes a survey of 1000 yogists who would prefer to practice yoga in a hot infrared room than a traditional room with room temperature. On the other hand, the inferential statistics is a method of making decisions or predictions about a population, based on data obtained from a sample of that population. For example, the results from a survey of 1000 yogists from different regions are sample size to represent the population of 10 million yogists around the globe. The prediction that the percentage of 1000 yogists who prefer to practice yoga in a hot infrared room than a traditional room with room temperature is equivalence to the population of 10 million yogists.