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ASIA 2014 Student Awards General Design Category Descriptive Data Summary All instructions in brackets should be deleted from final submission. Entry Number: Level of Study: undergraduate, graduate,
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How to fill out descriptive data summary

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How to fill out a descriptive data summary:

01
Start by collecting all the necessary data: Gather all the relevant information or data that you want to summarize. This could include statistical data, survey results, or any other type of data that you want to describe.
02
Determine the purpose of the summary: Before you begin, identify why you want to create a descriptive data summary. Are you trying to showcase trends, summarize findings, or provide a general overview? Understanding the purpose will help you structure your summary effectively.
03
Organize the data: Group the data into different categories or sections based on their characteristics or themes. This will make it easier to analyze and present the information in a concise manner.
04
Use appropriate descriptive statistics: Depending on the type of data you have, apply relevant descriptive statistics such as mean, median, mode, range, or standard deviation. These statistics will help summarize the central tendencies, variations, or distributions of the data.
05
Create visual representations: Utilize charts, graphs, or other visual aids to present your data summary. Visuals can make complex information more accessible and help readers better understand the main points.
06
Provide clear explanations: Alongside the visuals, include clear and concise explanations of the data. Describe the patterns, trends, or important insights that can be derived from the data. Use plain language and avoid jargon to ensure your summary is easily understandable.
07
Review and revise: Take the time to review your descriptive data summary and ensure it accurately represents the data. Double-check for any errors, inconsistencies, or missing information. Revise as needed to improve clarity and coherence.

Who needs a descriptive data summary:

01
Researchers: Researchers often need descriptive data summaries to present their findings in a concise and understandable way. It helps them communicate the main points of their study and support their conclusions.
02
Business professionals: Professionals working in industries such as marketing, finance, or market research rely on descriptive data summaries to analyze trends, make informed decisions, and communicate insights to stakeholders.
03
Students and academics: Students and academics frequently use descriptive data summaries to analyze research data, support their arguments, or showcase the results of their studies.
04
Policy makers: Government officials and policymakers use descriptive data summaries to make informed decisions based on evidence. Summarizing complex data helps them understand societal trends, assess the impact of policies, and formulate effective strategies.
05
General audience: Descriptive data summaries can also be useful for a general audience who wants a simplified overview of complex information. This could include readers of reports, articles, or news pieces looking for easily digestible insights.
Remember, the audience and purpose of your descriptive data summary will determine how you structure and present the information.
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Descriptive data summary is a report that provides a summary of key information or characteristics of a dataset.
Any organization or individual who collects and analyzes data may be required to file a descriptive data summary.
Descriptive data summary can be filled out by providing a summary of the data collected, including key characteristics, trends, and patterns.
The purpose of descriptive data summary is to provide an overview of the data collected and help users understand the information more easily.
The information reported on descriptive data summary may include demographics, statistics, and other key data points.
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