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A comprehensive guide to data presentation methods, covering textual, tabular, and graphical approaches. It delves into the advantages and disadvantages of each method, emphasizing the importance of clear and effective data visualization. The document also includes practical examples and guidelines for constructing tables, organizing quantitative data, and creating frequency distribution tables. It is a valuable resource for students and professionals seeking to understand and apply data presentation techniques.
Typology: Summaries
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PRESENTATION OF DATA
OBJECTIVES After this session, you must be able to: โฆ Compute measures of central tendency, measures of variation and measures of relative position of grouped and ungrouped data. โฆ Choose appropriate diagrams/graphs to present a given set of data. โฆ Organize qualitative and quantitative data in tables.
However, no matter how well manipulated, the information derived from the raw data should be presented in an effective format, otherwise, it would be a great loss for both authors and readers. Planning how the data will be presented is essential before appropriately processing raw data.
โ All the data is presented in the form of text, phrases, or paragraphs. โ It involves enumerating characteristics, emphasizing significant figures and identifying important features of data. โ Text is the principal method for explaining findings, outlining trends, and providing contextual information
Example: The data presented in textual form would be like this: In the statistics class of 40 students, 3 obtained the perfect score of
Advantages: โ (^) The data would be more interpreted directly โ Can help in emphasizing some important points in data โ Small sets of data can be easily presented. (^14)
โ It is a systematic and logical arrangement of data in the form of Rows and Columns with respect to the characteristics of data. โ A table is best suited for representing individual information and represents both quantitative and qualitative information.
The making of a compact table itself is an art. This should contain all the information needed within the smallest possible space. What the purpose of tabulation is and how the tabulated information is to be used are the main points to be kept in mind while preparing for a statistical table.
An ideal table should consist of the following main parts: A. Title: The title must tell as simply as possible what is in the table. It should answer the questions: โฆ Who? White females with breast cancer, black males with lung cancer.