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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.
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.
30 Νοε 2021 · Your outliers are any values greater than your upper fence or less than your lower fence. Example: Using the interquartile range to find outliers. We’ll walk you through the popular IQR method for identifying outliers using a step-by-step example. Your dataset has 11 values.
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.
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.
29 Αυγ 2023 · Such data points are called outliers. Discarding the last result changes the mean from 5.8 ppb to 5.1 ppb and the standard deviation from 1.9 ppb to 0.73 ppb, which are not insignificant changes. Is discarding the suspect data point justifiable?
