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From: AAAI99 Proceedings. Copyright 1999, AAA (www.aaai.org). All rights reserved. Two Dimensional Generalization in Information Joyce Due Chai Alan W. Riemann 30 Saw Mill River Rd. IBM. J. Watson
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How to fill out two dimensional generalization in:

01
Start by familiarizing yourself with the concept of two dimensional generalization. Understand that it involves creating a broad statement or idea based on specific examples or observations.
02
Identify the specific examples or observations that you want to generalize. These can be data points, research findings, or any other relevant information.
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Analyze the examples or observations and look for patterns or commonalities. This will help you in formulating a generalized statement.
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Craft a generalization by extracting the common elements from the specific examples. The generalization should capture the essence of the examples without being too broad or too narrow.
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Test the generalization by applying it to other examples or situations. This will help you evaluate its validity and refine it if necessary.
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Finally, present your two dimensional generalization in a clear and concise manner, ensuring that it accurately represents the specific examples or observations.

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Researchers and data analysts often use two dimensional generalization to draw conclusions and make predictions based on specific data points.
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Decision-makers in various fields, such as business or policy, may rely on two dimensional generalization to guide their strategic planning and decision-making processes.
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Educators and instructors may employ two dimensional generalization to teach students how to think critically and make broader connections from specific examples.
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Individuals who are conducting surveys, studies, or experiments might use two dimensional generalization to summarize their findings and extrapolate them to a larger population or context.
Overall, two dimensional generalization can be a valuable tool for understanding complex information and drawing meaningful insights from specific examples. It can be utilized in various industries and disciplines, catering to researchers, academics, decision-makers, educators, and individuals conducting studies or surveys.
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