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

  2. Study with Quizlet and memorize flashcards containing terms like An outlier is a data value that, Which statistic is not resistant to an outlier in the data?, Which one of these statistics would be affected by an outlier? and more.

  3. 4 Ιουν 2024 · An outlier is a data point that is more than three standard deviations from the mean. In the example, a z-score greater than or equal to +3 or less than or equal to -3 is considered an outlier. For the rent example, a z-score of 2.451 is not an outlier.

  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. Study with Quizlet and memorize flashcards containing terms like 1. The interquartile range is the difference between the _____., 2. The variance is equal to the _____., 3. Generally, which of the following is the least appropriate measure of central tendency for a data set that contains outliers? and more.

  6. Some observations within a set of data may fall outside the general scope of the other observations. Such observations are called outliers. Outliers can be identified by looking at a dotplot or histogram. In Lesson 3 you'll learn about boxplots which can also be used to identify outliers.

  7. 9 Απρ 2022 · Procedure for using z‐score to find outliers. Calculate the sample mean and standard deviation without the suspected outlier. Calculate the Z‐score of the suspected outlier: z − score = Xi −X¯ s z − score = X i − X ¯ s. If the Z‐score is more than 3 or less than ‐3, that data point is a probable outlier.

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