description

1300 ~ 1350; Description of Chinese <Latindēscrīptiōn - (dēscrīptiōstem), equivalent to dēscrīpt (us). (Please describe it as past participle for explanation.) + - iō-ion

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).

Statistical analysis has two main goals, generally considered to be descriptive and speculative. Through descriptive statistics, the objective is to summarize and present the data in a meaningful way. Descriptive statistics reveal important objective characteristics of a series of aggregated data, such as the overall average score of the class at the maximization level. Descriptive statistics can also indicate potential occurrence patterns in data that may require further analysis. However, it is important not to draw conclusions based on descriptive statistics or verify the hypothesis. Instead, descriptive statistics are just one way to describe data. The main limitation of descriptive statistics is that they do not allow you to generalize results to a wider general population.