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The purpose of the explanation is to present the sensual details clearly to the reader. It may only be that you are asking you to write descriptive articles at school, but the explanation is an important element in many writings. For example, explanations embedded in editorial papers may be aimed at making the position more persuasive. However, in this TIP table, teachers often organize sensual information and use it as exercises to select sharp details, so I will explain descriptive articles.

It is important to understand the meaning of descriptive statistics before continuing to discuss the basic description data elements necessary to answer the questions I asked before. Descriptive statistics represent characteristics of the collected data. In other words, descriptive statistics explain the "meaning" of the data, but it does not tell you the reasons and ways the data elements interact or interact. Descriptive statistics provide a summary related to the defender

Q1. When is it to use descriptive statistics rather than inference statistics? Please provide a concrete solution and explain your reasons. "Descriptive statistics are terms that help analyze data and describe, display, or aggregate data in a meaningful way, for example patterns may come from data" (descriptive statistics and inference statistics Understanding, 2012, Laerd). An example of descriptive statistics includes an analysis of concentration trends (location of most members of the group).