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Consistent Range Approximation for Fair Predictive Modeling Jiongli ZhuSainyam GalhotraNazanin SabriBabak SalimiUniversity of California, San Diego jiz143@ucsd.eduCornell University sg@cs.cornell.eduUniversity
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How to fill out consistent range approximation for

01
Identify the data set you want to analyze.
02
Determine the range of values within your data set.
03
Collect a sample of data points to create a representative approximation.
04
Calculate the mean and standard deviation of the data points to understand their distribution.
05
Define the consistent range by identifying the minimum and maximum values that fit your criteria.
06
Input the data points within the defined range.
07
Validate the approximation by comparing it to the actual data set to ensure consistency.
08
Adjust the range as needed based on feedback or further analysis.

Who needs consistent range approximation for?

01
Data analysts looking to summarize large data sets.
02
Researchers needing consistent data representations for analysis.
03
Businesses analyzing trends and making predictions based on data.
04
Students and educators in statistics and data science courses.
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Consistent range approximation is used to determine and report the range of transfer pricing methods and financial data that are consistent with arm's length principles for tax purposes.
Businesses engaged in cross-border transactions and other related parties that must comply with local tax regulations on transfer pricing are required to file consistent range approximation.
To fill out consistent range approximation, businesses must collect relevant financial data, select appropriate transfer pricing methods, analyze comparable transactions, and report their findings according to the guidelines provided by the tax authority.
The purpose of consistent range approximation is to provide a framework for assessing whether the prices charged in related-party transactions are consistent with the prices charged in comparable transactions between independent parties.
The information required includes the methodology used for the range approximation, financial data for comparable entities, selected comparables, and the results of the analysis demonstrating compliance with arm's length standards.
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