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Smith ScholarWorks Statistical and Data Sciences: Faculty PublicationsStatistical and Data Sciences2024Examining Information Systems Use to Facilitate the Workplace Accommodation Process Shiya Cao
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Statistical and data sciences encompass a range of mathematical and computational techniques used to collect, analyze, interpret, and present data in order to make informed decisions. This field combines principles from statistics, computer science, and domain-specific knowledge to extract meaningful insights from data.
Individuals or organizations involved in research, analysis, or data-driven decision-making, such as businesses, government agencies, and academic institutions, may be required to file reports or documents related to statistical and data sciences, particularly when they involve sensitive or regulatory data.
Filling out statistical and data science reports typically involves gathering relevant data, applying appropriate statistical methods for analysis, and documenting findings in a clear format. This often includes methodologies, results, visualizations, and conclusions drawn from the analysis.
The purpose of statistical and data sciences is to provide a framework for understanding complex data patterns, facilitating informed decision-making, optimizing processes, and predicting future trends based on historical data.
The information to be reported usually includes data sources, methodology employed, statistical analyses conducted, results of the analysis, visual representations such as charts or graphs, and interpretations or conclusions drawn from the data.
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