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01
Begin by identifying the neutrosophic variables and their values.
02
Determine the neutrosophic set for each variable, including the degrees of truth, indeterminacy, and falsity.
03
Record the data and input it into the neutrosophic statistical tool or software.
04
Analyze the data using neutrosophic statistical methods such as neutrosophic mean, median, mode, variance, etc.
05
Interpret the results and draw conclusions based on the neutrosophic statistics obtained.

Who needs neutrosophic statistics is an?

01
Researchers and practitioners in fields that deal with uncertainty, ambiguity, and vagueness such as artificial intelligence, decision-making, medical diagnosis, image processing, etc.
02
Individuals who want to explore alternative statistical methods to traditional ones in order to accommodate incomplete or contradictory information.
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Neutrosophic statistics is an emerging branch of statistics that deals with uncertain, imprecise, incomplete, paradoxical, and inconsistent data.
Researchers, statisticians, and data analysts who work with complex and uncertain data are required to use neutrosophic statistics.
Neutrosophic statistics is filled out by collecting data, identifying the sources of uncertainty, imprecision, and inconsistency, and applying appropriate mathematical models to analyze the data.
The purpose of neutrosophic statistics is to provide a framework for analyzing and interpreting complex data that is uncertain, imprecise, or incomplete.
Neutrosophic statistics must report the data sources, levels of uncertainty, imprecision, and inconsistencies, as well as the methods used for analysis.
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