Methodology sample in a research paper

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In 2015, we ranked mobile networks based on the average speeds of the fastest technology we could determine in a market, which was primarily 4G LTE. In 2016, we still used average speeds, but looked at results taken from "Modern Devices". "Modern Devices" results include all mobile tests, regardless of connection technology used, as long as they were taken on devices that are identified as being capable of achieving the fastest speeds available. To determine Speedtest Awards winners for mobile networks in 2017, we use results from "Modern Devices" to aid in the analysis of a mobile user's average speeds. This year, we applied the Speed Score outlined above to determine the best speeds available in a country. Each top carrier accounts for at least 3% of the sample size in the geographic area.

SEMMA is an acronym that stands for Sample , Explore , Modify , Model , and Assess . It is a list of sequential steps developed by SAS Institute , one of the largest producers of statistics and business intelligence software. It guides the implementation of data mining applications. [1] Although SEMMA is often considered to be a general data mining methodology, SAS claims that it is "rather a logical organization of the functional tool set of" one of their products, SAS Enterprise Miner, "for carrying out the core tasks of data mining". [2]

Based on the Department’s analysis of a representative sample of tiering results, some facilities will see a change in their tiers. Some facilities that were previously not covered under CFATS will find themselves covered, and some currently-covered facilities may no longer be considered high-risk. Some of these tier changes are a result of changes to the tiering methodology, while others are the result of changes facilities have made to their businesses, such as adding new chemicals, removing chemicals of interest, or modifying storage methods.

Methodology sample in a research paper

methodology sample in a research paper

Based on the Department’s analysis of a representative sample of tiering results, some facilities will see a change in their tiers. Some facilities that were previously not covered under CFATS will find themselves covered, and some currently-covered facilities may no longer be considered high-risk. Some of these tier changes are a result of changes to the tiering methodology, while others are the result of changes facilities have made to their businesses, such as adding new chemicals, removing chemicals of interest, or modifying storage methods.

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