Statistics And Descriptive Statistics

Statistics
As a person stare at a wall and develops a thought process on how to figure out how he or she could solve an issue or come to an assumption is intriguing. People go through life without finding out the why behind the process and is the why the solution to the problem. Statistics is essential because it shows the actual value of someone findings and Heinrich Hartmann said that “statistics is the art of extracting information from data, and hence becomes an essential tool for operating modern IT systems” (Hartman 2016, p58 para 3). As Heinrich Hartmann speaks about IT systems, and there are many important uses of statistics. We would like to study and understand the data which range from banking, government, science, math, and

According to Laura Delaney (2010), “the purpose of this type of analysis is to simply describe the sample group from which the data was collected” (p 43). As we collect data, we receive them from location measure and variation measures. Location measure is the mean, median and mode. The variation measure is the range, standard, deviation, and variance. The first set of data is used to find out the frequency of the data which could be found in the mean, median and mode. The second set of data is used to analyze how far apart the distribution of data found in the range, standard, deviation, and

What makes inferential statistics so unique is if you want to examine a portion of a case, you could do that vise analyzing the whole matter. For example, you want to know the hitting average for all Major-League Baseball teams, but rather than finding it from all you pick 15 Major League teams which are going to symbolize a large group of Major-League baseball teams. Another example according to David D. Barrett, Allen W. Burton and Simon J. Bennett “3,684 throws made by 100 players in 7 collegiate baseball games was examined about the position, distance and active and inactive situations” (Barrett, Burton & Bennett 2002). Inferential statistics can be used in many ways, this way you could get your decision for your situation and your choice should result in estimation of the parameters and test the hypotheses. With the evaluation of the parameters and testing the hypotheses you will conclude beyond the data that you have and to make your decision using the data it will matter on the type of test that you use, for example, a t-test or