definition of outliers
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- outlier. 1  something that lies outside the main body or group that it is a part of, as a cow far from the rest of the herd, or a distant island belonging to a cluster of islands: The small factory was an outlier, and unproductive, so the corporation sold it off to private owners who were able to make it profitable.
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Outliers Outliers are values that lie outside the other values. A new coach has been working with the Long Jump team this month, and the athletes' performance has changed. Augustus can now jump 0.15m further, June and Carol can jump 0.06m further. Here are all the results:
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outlier someone who stands apart from others of his or her group, as by differing behavior, beliefs, or religious practices: scientists who are outliers in their views on climate change. Synonyms: nonconformist, maverick; original, eccentric, bohemian; dissident, dissenter, iconoclast, heretic; outsider.
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- Outliers is more than a success story book, it is a book that shows where many successful people come from and how they have come to their achievements based on their upbringing. Read more Published 12 days ago
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What is more accurate mean or median? An outlier affects the mean the most because...    It doesn't affect the median much because it's really just another  number in a sequence. The median has almost noth…ing to do with the  actual value of the numbers because it's only the middle number in  a sequence that's in order from least to greatest.
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What does outliers mean in math? An outlier is a number that affects the the mean of a group of numbers greatly. For example the mean in this set of numbers (2, 4, 1, 5) is 3, but if … I add the number 93 the new answer is 21.
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- Define Fall-out. Fall-out synonyms, Fall-out pronunciation, Fall-out translation, English dictionary definition of Fall-out. n. 1. a. The slow descent of minute particles of debris in the atmosphere following an explosion, especially the descent of radioactive debris after a...
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- An outlier, in a distribution of data points, is a value which does not fall within three standard deviations of the mean. You cannot, at least directly, remove an outlier wit … hout biasing the data itself, but you can choose different measures to try and soften their effects.
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How to Calculate Outliers How to Calculate Outliers. In statistics, an outlier is a data point that significantly differs from the other data points in a sample. Often, outliers in a data set can alert statisticians to experimental abnormalities or errors in the measurements taken, which may cause them to omit the outliers from the data set.
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Outlier Calculator The online Outlier Calculator is used to calculate the outliers of a set of numbers. Outlier An outlier in a distribution is a number that is more than 1.5 times the length of the box away from either the lower or upper quartiles. Speciﬁcally, if a number is less than Q1 - 1.5×IQR or greater than Q3 + 1.5×IQR, then it is an outlier.
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Outliers: The Story of Success Summary & Study Guide Outliers: The Story of Success Summary & Study Guide Description. Outliers: The Story of Success Summary & Study Guide includes comprehensive information and analysis to help you understand the book. This detailed literature summary also contains Topics for Discussion and a Free Quiz on Outliers: The Story of Success by Malcolm Gladwell. Outliers is Malcolm Gladwell's examination of what makes some people phenomenally more successful than others.
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1.3.5.17. Identification of potential outliers is important for the following reasons. 1  An outlier may indicate bad data. 2  In some cases, it may not be possible to determine if an outlying point is bad data.
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- The dome of Knocklayd, capped by an outlier of chalk and basalt, consists mostly of this far more ancient series. Encyclopaedia Britannica, 11th Edition, Volume 2, Slice 2 Various The outlier of the group once created served as a nucleus for fresh accumulations.
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- Al Jefferson leads a balanced attack netting 17 points with five other Hornets scoring in double figures as they top the Clippers 113-71 in China. Open Court Decades: Best of the 1960's. The Open Court panel talk about their starting five for the decade of the 1960's. Open Court Decades: Best of the 1970's. Reggie Miller shakes things up by adding a twist to his list for best starting five from the 1970's.
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- Save. email @ image by Witold Krasowski from Fotolia.com. Most email users experience that dread of realizing they can't access their messages at some point, but the trick is not to panic. Microsoft has procedures in place to help you get back into your Hotmail and see what is waiting for you in your inbox.
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Outliers And Influential Points Outliers And Influential Points. An outlier is a data point that diverges from an overall pattern in a sample. An outlier has a large residual (the distance between the predicted value () and the observed value (y)). Outliers lower the significance of the fit of a statistical model because they do not coincide with the model's prediction.
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- Definition of outlier. 1 : a person whose residence and place of business are at a distance His house was a place of refuge for outliers. 2 : something (as a geological feature) that is situated away from or classed differently from a main or related body The island is an outlier on the southeast side of the archipelago.
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out out definition: The definition of out is something beyond the set limit or boundary. (adjective) An example of out is a baseball hit over the fence or the field....
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Outlier An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution.
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- Outliers: The Story of Success Paperback – June 7, 2011. 1  Kindle. $11.99 Read with Our Free App. 2  Hardcover. $15.72. 3  Paperback. $10.99. 4  Audiobook. $0.00. 5  Audio CD. $20.29.
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How Do Outliers Affect Mean, Median, Mode and Range in a Set of Data? How do outliers affect mean, median, mode and range in a set of data? A: A mathematical outlier, which is a value vastly different from the majority of data, causes a skewed or misleading distribution in certain measures of central tendency within a data set, namely the mean and range, according to About Statistics. The affected mean or range incorrectly displays a bias toward the outlier value.
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1.3.5.17. Identifying an observation as an outlier depends on the underlying distribution of the data. In this section, we limit the discussion to univariate data sets that are assumed to follow an approximately normal distribution.
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- EXAMINING THE EFFECT OF OUTLIERS. In this worksheet you will be investigating how an outlier affects the mean and median of a set of data. By the end of the lesson you will be able to explain which measure of central tendency most accurately represents a set of data with an outlier.
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- The Mean vs. the Median. As measures of central tendency, the mean and the median each have advantages and disadvantages. Some pros and cons of each measure are summarized below. The median may be a better indicator of the most typical value if a set of scores has an outlier. An outlier is an extreme value that differs greatly from other values. However, when the sample size is large and does not include outliers, the mean score usually provides a better measure of central tendency. To illustrate these points, consider the following example. Suppose we examine a sample of 10 households to estimate the typical family income.
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- To find the limits of outliers in box and whisker plots, you first must determine the Interquartile Range. The Interquartile Range is the difference between the Upper Quartile … and the Lower Quartile. For instance, if my Upper Quartile = 87 and my Lower Quartile is 52, then 87 - 52= 35.
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- In the above example, the lower quartile is 52 and the upper quartile is 58. The interquartile range is 58 – 52 or 6. Data that is more than 1.5 times the value of the interquartile range beyond the quartiles are called outliers. Statisticians sometimes also use the terms semi-interquartile range and mid-quartile range.nterquartile, Semi-Interquartile and Mid-quartile Ranges. In a set of data, the quartiles are the values that divide the data into four equal parts. The median of a set of data separates the set in half.