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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison

Yupei Zhang1,2, Yue Yun1,2, Rui An1,2

  • 1School of Computer Science, Northwestern Polytechnical University, Xi'an, China.

Frontiers in Psychology
|February 7, 2022
PubMed
Summary
This summary is machine-generated.

This study corrects a previous article DOI. The corrected DOI is 10.3389/fpsyg.2021.698490, ensuring accurate citation and retrieval of scientific research.

Keywords:
educational data mining (EDM)pattern recognitionpersonalized educationreview and discussionstudent performance prediction

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Area of Science:

  • This study falls within the field of scientific publishing and scholarly communication.

Context:

  • A previous publication's Digital Object Identifier (DOI) required correction.
  • Accurate referencing is crucial for scientific integrity and reproducibility.

Purpose:

  • To provide the correct DOI for a specific scientific article.
  • To ensure readers can access the intended research without errors.

Summary:

  • The article DOI: 10.3389/fpsyg.2021.698490 has been corrected.
  • This correction facilitates proper citation and retrieval of the research.

Impact:

  • Ensures accurate citation of scientific literature.
  • Improves the discoverability and accessibility of research findings.
  • Upholds standards of scholarly communication.