Statistical data types

The rule for first normal form (1NF) is a table in which the intersection of every column and record contains only one value. In other words a table that contains more than one atomic value in the intersection of one or more column for one or more records is not in 1NF. The non 1NF table can be converted to 1NF by restructuring original table by removing the column with the multi-values along with a copy of the primary key to create a new table. See Figure 8.4 for an example of this approach.…

3- IT and Business managers should work together for removing any communication obstacles to have a successful communication going. (Gartenstein, 2012). By having a weekly meetings which will strengthen the communication more . 4- Interpersonal interaction between the IT and business departments should be improved in the meetings, as most of the time the business team feel that they are lost as then don’t understand the technical points, this can be achieved by train the IT team to improve…

McMahon Group examined six focus groups at the country club comprised of 43 members (69%), 12 employees (19%), and 7 non-members (11%). The under 46 age group members and non-members preferred full service over a golf only format. Furthermore, the focus groups revealed members felt the current level of service was not on par as expected from a private country club. Staff members expressed frustration with service limitations due to the board’s restrictions to maintain profitability. The…

common experiences of a group of participants to generate or discover theory (Creswell, 2012). It is a method of iterative study design applying an inductive process of data collection with purposive or theoretical sampling. Data analysis includes the coding process, repeated comparison of data (by spotting the issue of interest in the data and comparing them with previous…

assessment survey it is important for the HR Department to advantage of the second stage, which is data collection and identifying training needs. Data collection and identifying training needs often correlates as the organization begins to analyze results, and discover opportunities for improvement within the organization. This review will explain some of the processes steps that were taken during the data collection process, as well as, the information that was gathered from the needs…

A COMPARITIVE STUDY OF NEAREST NEIGHBOUR ALGORITHM AND GENETIC ALGORITHM IN SOLVING TRAVELLING SALESMAN PROBLEM Ajaz Ahmed Khan Electronics and communication department SSGI FET Bhilai, India ajz70277@gmail.com Mrs. Himani Agrawal Electronics and communication department SSGI FET Bhilai, India Abstract—In this paper, we have used two algorithms, i.e. the Nearest Neighbor algorithm and Genetic Algorithm to solve the Travelling Salesman problem. The Travelling Salesman…

3.7. Thermogravimetric analysis The thermogravimetric curves of MCC, TCSt, pure PNAI, and PNAI/TCSt composite were illustrated in Fig. 4. Where MCC lost about 90 % of its original weight by increasing the temperature up to 300°C due to the decomposition of cellulose, TCSt lost about 45% of its weight at 199-252 oC this was in agreement with Freire et al. and Jandura et al. reports [41, 44], who explained the early decomposition of fatty acyl cellulose with long chain substitution (C11-C18) by…

low-cost to meet the rising market of Internet of things (IoT) networks. Zigbee is generally deployed for applications which use low data rate and low power consumption and is an open standard worldwide. Zigbee uses a different protocol than Wi-Fi networks where it uses a mesh networking protocol to create a self-healing architecture, thereby supporting much lower data rates than Wi-Fi. Exploitation in ZigBee devices: Although Zigbee was claimed to be one of the most secured technology deployed…

their network infrastructure, object oriented technology and data warehousing started to make its mark on Decision Support Systems. The rapid expansion of the Internet provided…

Dataclear is a business data analytics company, based out of Baton Rouge, Louisiana. The company was founded in 1998 by Greg McNally, a graduate of UC Berkeley, with a PhD in computer science. McNally developed his skill working as a software developer for 15 years, “at Borland and Oracle” (Case Study, para.5). DataClear established itself in a market that was wide open and offered very rapid customer and profit growth. Within the first year of operation, the company’s sales hit $2.2 million…