Q3=3(n+1)4=3(7+1)4=244=6‚ IQR Q3-Q1‚ | CV=sx×1003.297×100%=47%/ n = 5 has a mean of 10.2.four data: 9‚ 10‚ 8 17‚ find the missing data value.x=i=1nxin=8+9+10+17+?5=*5=10.2‚ 5×10.2=51 Therefore: 8+9+10+17+?=51Therefore: 8+9+10+17+?=51Simplifying: 44+?=51And so ?=51-44=7Thus the missing data value is 7. | Variance/s2= x-x2n-1‚ [3-72+4-72+7-72+7-72+9-72+12-72]6-1 =545 =10.8 | egA manufacturer of insulation randomly selects 20 winter days and records the daily high temperature 11‚ -11‚ -8‚ -6
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having too much data‚ and what to do about them There is rarely an instance of business that you can encounter that does not involve the processing of data on information systems these days. Businesses and organizations use information systems in a majority of their functions‚ and as a result‚ are creating mass amounts of data. Because data is so crucial to business operations‚ it is being gathered‚ stored‚ and utilized in exponential amounts compared to the previous decade. These data stores can
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its simplest terms‚ the translation of data into a secret code. In order to read an encrypted file‚ the receiver of the file must obtain a secret key that will enable him to decrypt the file. A deeper look into cryptography‚ cryptanalysis‚ and the Data Encryption Standard (DES) will provide a better understanding of data encryption. Cryptographic Methods There are two standard methods of cryptography‚ asymmetric encryption and symmetric encryption. Data that is in its original form (unscrambled)
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DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES Pan‚ Jinjian A.‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ jinjian.pan@cba.com.au Winchester‚ Donald‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052 d.winchester@unsw.edu.au Land‚ Lesley‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ l.land@unsw
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Data Security and Regulations SRK Abstract This paper discusses data security‚ its importance and implementation. The way threats are posed to information of organizations is also discussed. There are plenty of leakage preventive solutions available in the market. Few of them are listed in the paper. There is a list of regulations governing data security in financial and healthcare sector at the end. Data Security and Regulations As we are advancing into information age‚ more
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Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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Data collection would be accomplished by the assigned individual who would screen the emails in the support distribution email box‚ then move all the misdirected emails to a separate email folder labeled “Misdirected” each day‚ then and there forwarding a copy to the correct department. The moving of the emails allows a total to be collected each day‚ so at the end of the week they would be totaled and recorded to measure the effectiveness of the new process. There was a study conducted using research
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Dynamic Dependency Analysis of Ordinary Programs 1 Todd M. Austin and Gurindar S. Sohi Computer Sciences Department University of Wisconsin-Madison 1210 W. Dayton Street Madison‚ WI 53706 faustin sohig@cs.wisc.edu A quantitative analysis of program execution is essential to the computer architecture design process. With the current trend in architecture of enhancing the performance of uniprocessors by exploiting ne-grain parallelism‚ rst-order metrics of program execution‚ such as operation frequencies
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1) Convert the following: 3 m = ____300______ cm 83 m = _____83000000_____ μm 41‚692 m = ____.000041692______ mm 110 kilometers = _____110000_____ m = ____110000000________ mm 3.7 hectometers =____370_____ m =_____37000_______ cm 451‚000‚000 μm = ____.000451_____ m = ____.0000451_______ dam 2) Imagine a field is about 100 meters long. If you run a 5K race how many meters is it? Approximately how many “fields” does this equate to? 50 football fields 3) Measure the following objects. A) Your
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and not as a meal. Pizza’s Purchase Volume Estimates (Exhibit 7): Market Size: 58.8 MM = 58‚800‚000 Definitely would buy: 18% % of Definites who actually buy = 80% Probably would buy: 43% % of Definites who actually buy = 30% Therefore‚ Trial Rate (Definite + Probable) = (0.8*18 + 0.3*43) = 27.3% Market Plan Adjustment: Cucina Fresh Pasta customers = 11% of 58.8MM =
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