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Available Online at http://www.journalajst.comASIAN JOURNAL OF SCIENCE AND TECHNOLOGY Asian Journal of Science and TechnologyISSN: 09763376Vol. 11, Issue, 09, pp.1117211181, September, 2020RESEARCH
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01
Understand the concept of variance and its relevance in data analysis.
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Identify the factors that contribute to high variance in a dataset.
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Review the specific goals of the analysis to determine the importance of addressing high variance.
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Consider different statistical methods or tools that can help in assigning high variance weights to data points.
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Apply the chosen method or tool to assign high variance weights to the dataset.

Who needs why assign high variance?

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Data analysts who are working on projects where high variance in the data can significantly affect the accuracy of the results.
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Assigning high variance is a statistical approach used to indicate a greater degree of fluctuation or uncertainty in data, often to assess risk or volatility in financial analysis.
Individuals or organizations engaging in activities where high volatility or risk assessment is necessary, such as investment firms, analysts, or corporations concerned about market fluctuations, may be required to file.
To fill out the 'why assign high variance' document, provide detailed data on the variables assessed, the rationale for high variance, analytical results, and any supporting documentation or calculations.
The purpose is to quantify and communicate the level of risk associated with certain investments or operations, helping stakeholders make informed decisions.
Reported information typically includes the variables being analyzed, statistical methods used, findings, potential impacts, and any historical data relevant to the variance.
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