Descriptive data questions

  • What are some descriptive questions?

    Descriptive question are questions such as “Who is Columbus?”, “What is tsunami?”, or “Why is blood red?”, which need answer that contain the definitional information about the search term, explain some special phenomenon. (i.e. chemical reaction) or describe some particular events..

  • Descriptive analytics means analyzing data to answer questions of the form “what happened?” or “what is happening?” Answering questions of the form “what happened?” is more specifically known as historical (or static) analytics, whereas answering questions of the form ''what is happening?” is known as real-time
  • The purpose of this article is to introduce you to the three different types of quantitative research question (i.e., descriptive, comparative and relationship-based research questions) so that you can understand what type(s) of quantitative research question you want to create in your dissertation.

What are the different types of quantitative research questions?

With that in mind there are three common types of quantitative research questions: Let’s take a look in greater detail at the typical formats you can use when preparing quantitative market research questions

Descriptive survey questions are designed to uncover a respondent’s response towards a particular question or variable

Here are some good questions to ask when exploring descriptive statistics:

  1. What is the range of the data? This question helps you understand how spread out the data is. ...
  2. What is the average or mean of the data? This question helps you understand what the typical value is. ...
  3. What is the median of the data? ...
  4. What is the mode of the data? ...
  5. What is the standard deviation of the data? ...
,Descriptive statisticsin data science involves summarizing and organizing the data so they can be easily understood

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