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Outliers are observed data points that are far from the least squares line. They have unusual values and need to be examined carefully. Though an outlier may result from erroneous data, at other times, it may hold valuable information about the population under study and should be included in the data. Hence, it is crucial to examine what causes a data point to be an outlier.
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An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
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When crossing pea plants, Mendel noticed that one of the parental traits would sometimes disappear in the first generation of offspring, called the F1 generation, and could reappear in the next generation (F2). He concluded that one of the traits must be dominant over the other, thereby causing masking of one trait in the F1 generation. When he crossed the F1 plants, he found that 75% of the offspring in the F2 generation had the dominant phenotype, while 25% had the recessive phenotype.
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Related Experiment Video

Updated: Mar 15, 2026

A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae
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James L. Outtz (1947-2016).

Sheldon Zedeck1, Wayne Cascio2

  • 1University of California, Berkeley.

The American Psychologist
|August 30, 2016
PubMed
Summary

James L. Outtz was a pioneer in employment law and selection, championing diversity and minimizing adverse impact in hiring. His extensive work influenced best practices in equal employment opportunity and workforce inclusion.

Area of Science:

  • Industrial and Organizational Psychology
  • Employment Law
  • Human Resources Management

Background:

  • James L. Outtz dedicated over 40 years to advancing research and practice in employment selection.
  • His expertise spanned hiring, promotion, discrimination, test design, and legal compliance.
  • He was a key figure in promoting diversity and inclusion for minorities and women in the workplace.

Discussion:

  • Outtz developed strategies to reduce adverse impact in selection processes.
  • His work informed best practices in equal employment opportunity (EEO).
  • He served as a consultant, expert witness, and advisor in numerous high-profile legal cases.

Key Insights:

  • Significantly influenced best practices in EEO and selection.
  • Advanced strategies for minimizing adverse impact in hiring.

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  • Promoted workforce diversity through inclusive practices.
  • Outlook:

    • His legacy continues to shape contemporary approaches to fair and equitable employment.
    • Ongoing relevance in addressing legal issues and best practices in selection.
    • His contributions are recognized within the Society for Industrial and Organizational Psychology (SIOP).