Primary Data is Original data‚ this means that it has been collected by you‚ someone who has volunteered to assist you in your research‚ or by someone who is within your employ to gather this research‚ this does not include comparing results with your peers to help evaluate the accuracy of your own results‚ as this type of data has not been gathered by you‚ or have you had any part in the gathering of this information. There are a few ways in which primary data can be obtained‚ which includes surveys
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Censored data & Truncated data Censoring occurs when an observation or a measurement is outside the range and people don’ t know the certain value. The value is always above or below the range that people set. However‚ truncated data means that because of the limits‚ such as time‚ or space‚ people lose some data. Truncation is to cut off the data. In other words‚ we have collected and use the data‚ but the data is not in the range we have. It is called censored data. We don’t use the data because
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ISDATA ANALYSIS USING SPSS Overview • Variable • Types of variables Qualitative Quantitative • Reliability and Validity • Hypothesis Testing • Type I and Type II Errors • Significance Level • SPSS • Data Analysis Data Analysis Using SPSS Dr. Nelson Michael J. 2 Variable • A characteristic of an individual or object that can be measured • Types: Qualitative and Quantitative Data Analysis Using SPSS Dr. Nelson Michael J. 3 Types of Variables • Qualitative variables:
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memorandum to: Dr. Dianne Pearman and Susan Midwood from: Jessica mccrary subject: Audience analysis memo: hypertension date: July 10‚ 2016 When researching a topic on the internet we find that different Websites can be aimed toward specific audiences. “Besides identifying the primary and secondary audiences in a general way‚ you also need to understand your relationship with everyone involved” (Gurak & Lannon‚ pg. 53). This helps to determine the outline and formality of what will be stated
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GSLIS INFORMATION TECHNOLOGY SERVICES COMPUTER LAB MANAGEMENT: ANALYSIS AND RECOMMENDATIONS Prepared for Dr. Mary-Lynn Rice-Lively‚ Coordinator of Information Technology Services by Students in the Fall Semester 1997 Class Systems Analysis and Evaluation (LIS 387.5) Jon Drucker Aimee Green Dan Huo James Irwin Matt McGrievy Kevin Rioux Sybil Shearin Magan Stephens under the direction of Professor Ronald E. Wyllys Graduate School of Library and Information Science The University of Texas at
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Introduction: This report‚ has the main aim of critically analysing two sediment samples (coarse sample taken from Clarach/ fine sample taken from Tan-y-Bwlch (6)) to identify any discrimination between their geological characteristics‚ the main characteristic being grain size‚ but shape‚ roundness and surface details are also important‚ as they can provide information to answer the wider question of what processes have occurred for the lithologies of the 2 sites to have been formed in the way that
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RE-INVENTING XYZ Financial Analysis Report Finance Team Prepared for: XYZ BPE Project XYZ Ministry of Government Services November‚ 1994 XYZ BPE Project Financial Analysis Report Table of Contents Executive Summary ...................................................................................................................................................................................1 Financial Model Review .........................................................................
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Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data
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Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated
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