Quantitative research is based on numbers, reasoning, and a neutral viewpoint. Quantitative research emphasises numeric and static data as well as comprehensive, convergent reasoning over divergent thinking [i.e., the spontaneous, free-flowing creation of a variety of ideas concerning a study subject].
The average (also known as mean), mode, and median are the three most popular methods to look at the centre. All three describe the typical value of a variable (average), the most commonly repeated number (mode), or the number in the middle of all the other numbers in a data set to summarise a data distribution (median).
The use cases for summarizing quantitative data are numerous, but the most common ones include:
Marketing: A summary of quantitative data can be used to create an infographic or video. It can also be used in social media marketing campaigns to create content that is more personal or interactive.
Research: Summarization is a great way to make complex research easier to understand. It can also help people who are not familiar with statistical analysis by providing them with key facts and figures.
Business: A summary of quantitative data can be used in presentations, speeches, and documents as a way to highlight trends and patterns that may not have been seen before.
Graphs, charts, tables, and maps can all be used to present data. Data can be shown in a graph throughout time (such as a line chart)
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