Census Data Analysis Sample Clauses

Census Data Analysis. Please refer to Section 2.4 in the 2004 Draft EIS Appendix I, Social Resources Technical Memorandum. Substantial analysis of census data for the study area was presented in the 2004 Draft EIS Appendix I to describe the affected environment for social resources. In that report, the census tract block groups that most closely represented the same geographic area as the study area were analyzed. Due to the size of some census tract block groups, however, portions of the study area were not included and some areas outside of the study area were included. The objective was to select census tract block groups that best represented the study area. However, the study area for this report is larger than the study area evaluated in the 2004 Draft EIS Appendix I. The study area was expanded to capture the three additional city blocks of the project corridor between Xxxx Street and Xxxxxxxx Street. We reviewed maps of census tract block groups to assess whether to incorporate data from the additional census tract block groups. Portions of two large block groups were identified in the expanded study area. One of the block groups encompasses an area along the shoreline of Lake Union extending more than 0.75 mile beyond the north terminus of the project corridor. Similarly, the project corridor only extended several city blocks into the other large census tract block group. Moreover, the field survey findings showed that the expanded project area was similar to those block groups immediately to the south, which were already included in the study area. Because the project expansion was only three city blocks and these two census tract block groups encompass areas substantially beyond the project corridor, the data from the two census tract block groups were not incorporated into the analysis of this technical memorandum.
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Related to Census Data Analysis

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Disturbance Analysis Data Exchange The Parties will cooperate with one another and the NYISO in the analysis of disturbances to either the Large Generating Facility or the New York State Transmission System by gathering and providing access to any information relating to any disturbance, including information from disturbance recording equipment, protective relay targets, breaker operations and sequence of events records, and any disturbance information required by Good Utility Practice.

  • SERVICE MONITORING, ANALYSES AND ORACLE SOFTWARE 11.1 We continuously monitor the Services to facilitate Oracle’s operation of the Services; to help resolve Your service requests; to detect and address threats to the functionality, security, integrity, and availability of the Services as well as any content, data, or applications in the Services; and to detect and address illegal acts or violations of the Acceptable Use Policy. Oracle monitoring tools do not collect or store any of Your Content residing in the Services, except as needed for such purposes. Oracle does not monitor, and does not address issues with, non-Oracle software provided by You or any of Your Users that is stored in, or run on or through, the Services. Information collected by Oracle monitoring tools (excluding Your Content) may also be used to assist in managing Oracle’s product and service portfolio, to help Oracle address deficiencies in its product and service offerings, and for license management purposes.

  • Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.

  • MATERIAL SAFETY DATA SHEETS Contractor is required to ensure Material Safety Data Sheets (“MSDS”) are available, employees are trained in the use of MSDS, and MSDS are in a readily accessible place at the Site. This requirement applies to all materials with an associated MSDS per the federal “Hazard Communication” standard or employees’ Right-to-Know laws. Contractor is also required to ensure proper labeling and training on any substance brought onto the Site and that any person working with the material (or who is subject to possible exposure by use of the material or contact with the material), is informed of the possible and/or real hazards of the substance, and follows proper handling and protection procedures.

  • Technical Requirements for SCPs/Databases 10.5.3.1 BellSouth shall provide physical access to SCPs through the SS7 network and protocols with TCAP as the application layer protocol.

  • Data Encryption Contractor must encrypt all State data at rest and in transit, in compliance with FIPS Publication 140-2 or applicable law, regulation or rule, whichever is a higher standard. All encryption keys must be unique to State data. Contractor will secure and protect all encryption keys to State data. Encryption keys to State data will only be accessed by Contractor as necessary for performance of this Contract.

  • Information Technology Accessibility Standards Any information technology related products or services purchased, used or maintained through this Grant must be compatible with the principles and goals contained in the Electronic and Information Technology Accessibility Standards adopted by the Architectural and Transportation Barriers Compliance Board under Section 508 of the federal Rehabilitation Act of 1973 (29 U.S.C. §794d), as amended. The federal Electronic and Information Technology Accessibility Standards can be found at: xxxx://xxx.xxxxxx-xxxxx.xxx/508.htm.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

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