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\nTesting for Outliers in Data: Methods and Example\n

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\nThe video is a lecture on how to test for outliers in datasets and provides three methods for identifying them. The instructor explains the importance of identifying outliers to ensure the validity of data and outlines the three methods:...\nThe video is a lecture on how to test for outliers in datasets and provides three methods for identifying them. The instructor explains the importance of identifying outliers to ensure the validity of data and outlines the three methods: mean ± 2 standard deviations, mean ± 3 standard deviations, and the upper and lower quartiles and interquartile range. The instructor then provides an example of using these methods to identify outliers in European countries' medal performances in the 2012 London Olympics. The video concludes with a summary of the methods and identified outliers.\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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8:52
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nKnowmo Advanced Maths\n\n
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Date
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2018
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Additional Materials

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Concepts

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outliers, data, interquartile range, standard deviation, countries
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Additional Tags

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as, maths, and, cleaning, bit stricter, london olympics, bronze medal, lower quartile, upper quartile, medal performance, negative number, data set, finding outliers, data points, points, number, score, achieved, greater, considered, methods, outlier, method, display, measures, incorrect, analyze, remove, consideration
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Classroom Considerations

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Best For: Explaining a topic
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Educator Ratings

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Testing for Outliers in Data: Methods and Example\" href=\"/subscription/new\">\"Testing\n\n
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