Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such
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government‚ and the government controlled all of the industry and agriculture. Yet‚ under such strict government control‚ the Soviet Union ended in collapse in the year 1991. The main contributing factor towards the downfall of the USSR was the poor state of the economy‚ which in turn triggered the second main factor‚ the mistakes of the party leaders in their attempts to make changes. Vladimir Lenin was the man who led the Bolsheviks (the All-Russian Communist Party) during the early stages of the
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on what is provided to them by the poet. While writing poems‚ authors tend not to incorporate devices that may entice the senses of their readers‚ but that is not the case for “Red Lily.” Between poems that use sensory devices like “Red Lily” and poems that don’t‚ the addition of sensory devices to the poem “Red Lily” creates a more intense feeling and emotion through the aid of aural and visual implementations to enhance the experience of reading the poem for the audience. After looking over the
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those factors that contribute to the academic achievement gap between African American males. A sample of 25 8th grade‚ African American‚ male students from Dent Middle School will be identifyied as participates for the research. Although there has been research written about the achievement gap between African American and their counterparts‚ the literature is limited regarding strategies tailored specifically to address the achievement gap between African American males. Participant’s data will
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insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are: a) Data warehousing b) Data Mining c) ETL d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the different field. Data warehousing and current
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lipids (fats) and proteins‚ are the form in which lipids are transported in the blood. HDL cholesterol is considered the "good" cholesterol. The higher the HDL cholesterol level‚ the lower the risk of coronary artery disease. Triangle test- A sensory-based analysis where three randomized unknown samples are tested. In a triangle test‚ two of the products are the same and one is different. The respondent is requested to pick out the odd sample. Conduction - Definition: A method of heat transfer
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DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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HIS-112 | Gone With The Wind | Directed by Victor Fleming; 1939 | Starring:Vivian Leigh as Scarlet O’HaraClark Gable as Rhett Butler | Mattie Seidel | 3/30/2012 | Gone with the Wind On December 15‚ 1939 a movie was released in Atlanta‚ GA that would forever change how people saw the "Old South". This movie quickly became a smash hit and went on to become the #1 movie of all time and still holds the title‚ as we were reminded of at the Oscars last year. The movie was "Gone with
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Data Mining DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience
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business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies‚ used to extract useful meaning of enterprise data in order to help
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