Computers and Technology, 08.11.2019 05:31 sabel1234
Finding outliers in a data set. problem titledetecting unusual numbers or outliers in a data set is important in many disciplines, because the outliers identify interesting phenomena, extreme events, or invalid experimental results. a simple method to check if a data value is an outlier is to see if the value is a significant number of standard deviations away from the mean of the data set. for example, is an outlier ifwhere is the data set mean, is the data set standard deviation, and is the number of standard deviations deemed significant. assign outlierdata with all values in userdata that are numberstddevs standard deviations from userdata's mean. hint: use logical indexing to return the outlier data values. ex: if userdata is [9, 50, 51, 49, 100 ] and numberstddevs is 1, then outlierdata is [9, 100].
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Aproject involves many computing systems working together on disjointed task towards a single goal what form of computing would the project be using
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Finding outliers in a data set. problem titledetecting unusual numbers or outliers in a data set is...
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