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].
Answers: 1
Computers and Technology, 23.06.2019 03:10, kyleereeves2007
Acomputer has a two-level cache. suppose that 60% of the memory references hit on the first level cache, 35% hit on the second level, and 5% miss. the access times are 5 nsec, 15 nsec, and 60 nsec, respectively, where the times for the level 2 cache and memory start counting at the moment it is known that they are needed (e. g., a level 2 cache access does not even start until the level 1 cache miss occurs). what is the average access time?
Answers: 1
Finding outliers in a data set. problem titledetecting unusual numbers or outliers in a data set is...
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