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  1. Start studying Outliers in Stats. Learn vocabulary, terms, and more with flashcards, games, and other study tools.

  2. 11 Ιουλ 2024 · Outliers are data values that are significantly smaller or larger than the rest of the dataset. They can be detected using z-scores, where values below -3 or above +3 are considered outliers. Outliers may result from errors in data collection, unusual events, or natural variation.

  3. Study with Quizlet and memorize flashcards containing terms like Which of the following measures are resistant to outliers in a data set?, Examples of lurking variables, In a skewed right distribution and more.

  4. Outliers are observed data points that are far from the least squares line. They have large "errors", where the "error" or residual is the vertical distance from the line to the point. Outliers need to be examined closely. Sometimes, for some reason or another, they should not be included in the analysis of the data.

  5. 4 Νοε 2021 · An outlier is a data point that lies abnormally far away from other values in a dataset. We often define a data point to be an outlier if it is 1.5 times the interquartile range greater than the third quartile or 1.5 times the interquartile range less than the first quartile of a dataset.

  6. www.mathsisfun.com › data › outliersOutliers - Math is Fun

    Outliers. "Outliers" are values that " lie out side" the other values. When we collect data sometimes there are values that are "far away" from the main group of data ... what do we do with them? Example: Long Jump. A new coach has been working with the Long Jump team this month, and the athletes' performance has changed.

  7. Quiz yourself with questions and answers for Outliers - practice test, so you can be ready for test day. Explore quizzes and practice tests created by teachers and students or create one from your course material.

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