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    Week One  CheckPoint: Business Models and Systems (post response in Assignment Tab)  Due‚ Week 1 – Day 5‚ Friday‚ January 25‚ 2013  Good Morning Everyone‚  Resource Required Ch. 1 & 2 of Introduction to Business Consider a local business whose services you frequently use. What are the main components of this company’s business model?  Write a 200- to 300-word response describing the three components of the business system that comprise the local business you selected. Use Figure 1.2 on

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    Comparing Data

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    Using the Standard Deviation You made a number of observations about the data sets for the school activities. You used mean and median to measure the center of the data‚ and you used the interquartile range (IQR) to measure the spread. When outliers are present‚ the median and IQR are used to measure center and spread because they are unaffected by extreme values. When the data appears to be symmetric and there are no known outliers‚ the mean and standard deviation (another measure of spread)

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    Supplement Career-Oriented Majors Over the past years‚ liberal art majors have decreased‚ while career oriented majors have skyrocketed. Budget conscientious families and hard economic times have limited the scope of a student’s study plan. Liberal art students prepare by gaining exposure‚ so they may remain flexible in their career pathway. On the other hand‚ career-oriented majors prepare students for employment in a specific field of study. Students should have a career oriented major supplemented

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    DataBig Data and Future of Data-Driven Innovation A. A. C. Sandaruwan Faculty of Information Technology University of Moratuwa chanakasan@gmail.com The section 2 of this paper discuss about real world examples of big data application areas. The section 3 introduces the conceptual aspects of Big Data. The section 4 discuss about future and innovations through big data. Abstract: The promise of data-driven decision-making is now being recognized broadly‚ and there is growing enthusiasm

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    Statistics and Data

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    Definition: Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. A statistician is someone who is particularly well-versed in the ways of thinking necessary for the successful application of statistical analysis. Such people have often gained experience through working in any of a wide number of fields. Some

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    Taking all three grants would not be a smart move because they would only need money to pay for the administrative assistant. The rest of the money is not needed but the second grant was not explained all the way of why they needed the second grant. 2. To take any type of action‚ the government is really the main people that are the ones to handle everything with their guidelines and then you have the social forces that would affect the entire community. 3. The obligation is to make sure to give

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    Secondary data

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    Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.

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    Big Data

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    Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) ........................... 3 1.2 Quantitative Data............................................................................................... 4 DESCRIPTIVE STATISTICS.................................................6 2.1 Sample Data versus Population Data ................................................................... 6 2.2 Parameters and Statistics

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    Data Resource Management

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    Data Dictionary: A software module and database containing descriptions and definitions concerning the structure‚ data elements‚interrelationships‚ and other characteristics of an organization’s databases. Data Mining: A process where data in a data warehouse is identified to discover key business trends and factors. Data Modeling: A process where the relationships between data elements are identified and defined to develop data models. Data Planning: A planning and analysis function

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    Data Interpretation

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    Interpreting your data is a process that involves answering a series of questions about the research. We suggest the following steps: 1) Review and interpret the data "in-house" to develop preliminary findings‚ conclusions‚ and recommendations. 2) Review the data and your interpretation of it with an advisory group or technical committee. This group should involve local‚ regional‚ and state resource people who are familiar with monitoring and with your product. They can verify‚ add to‚ or

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