Drawing and Analysis Details. 3.5.1. The CPM logic drawings included in the Construction Schedule shall be 30” x 42” and shall, at a minimum, include:
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DATA COLLECTION AND ANALYSIS The goal of this task is to collect operational data from the project, to analyze that data for economic and environmental impacts, and to include the data and analysis in the Final Report. Formulas will be provided for calculations. A Final Report data collection template will be provided by the Energy Commission. The Recipient shall: • Develop data collection test plan. • Troubleshoot any issues identified. • Collect data, information, and analysis and develop a Final Report which includes: o Total gross project costs. o Length of time from award of bus(es) to project completion. o Fuel usage before and after the project.
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.
Description Details Type of personal data The personal data to be processed is defined in the ILR specification. xxxxx://xxx.xxx.xx/government/collections/individualised- learner-record-ilr Categories of data subject The data subjects are Learners on education or training programmes administered by the Department that are subject to this Agreement. Retention and destruction of the data once the processing is complete UNLESS requirement under union or member state Law to preserve that type of data Information on how the data must be supplied to the Department is detailed in the ILR specification and its appendices. xxxxx://xxx.xxx.xx/government/collections/individualised- learner-record-ilr For the purposes of the Department as a data controller of the data, the Provider is required to retain the data for the funding and audit purposes set out in this Agreement for 6 years from the end of the Financial Year in which the last payment is made under this Agreement. For the purposes of the Department for Work & Pensions as a data controller, where Learner data is used as match on the 2014-20 ESF programme, the data must be retained securely until 31st December 2030. The Provider (and any other data controller) is responsible for determining any further need to process the data, including its retention, prior to secure destruction.
Background and Narrative of Budget Reductions 2. Assumptions Used in the Deficit Reduction Plan: - EBF and Estimated New Tier Funding: - Equal Assessed Valuation and Tax Rates: - Employee Salaries and Benefits: - Short and Long Term Borrowing: - Educational Impact: - Other Assumptions: - Has the district considered shared services or outsourcing (Ex: Transportation, Insurance) If yes please explain: ESTIMATED LIMITATION OF ADMINISTRATIVE COSTS (School Districts Only) (For Local Use Only)
JOC EVALUATION If any materials being utilized for a project cannot be found in the RS Means Price Book, this question is what is the markup percentage on those materials? When answering this question please insert the number that represents your percentage of proposed markup. Example: if you are proposing a 30 percent markup, please insert the number "30". Remember that this is a ceiling markup. You may markup a lesser percentage to the TIPS Member customer when pricing the project, but not a greater percentage. EXAMPLE: You need special materials that are not in the RS Means Unit Price Book for a project. You would buy the materials and xxxx them up to the TIPS Member customer by the percentage you propose in this question. If the materials cost you, the contractor, $100 and you proposed a markup on this question for the material of 30 percent, then you would charge the TIPS Member customer $130 for the materials. No response TIPS/ESC Region 8 is required by Texas Government Code § 791 to be compensated for its work and thus, failure to agree shall render your response void and it will not be considered. Yes - No Vendor agrees to remit to TIPS the required administration fee or, if resellers are named, guarantee the fee remittance by or for the reseller named by the vendor?
Program Evaluation The School District and the College will develop a plan for the evaluation of the Dual Credit program to be completed each year. The evaluation will include, but is not limited to, disaggregated attendance and retention rates, GPA of high-school-credit-only courses and college courses, satisfactory progress in college courses, state assessment results, SAT/ACT, as applicable, TSIA readiness by grade level, and adequate progress toward the college-readiness of the students in the program. The School District commits to collecting longitudinal data as specified by the College, and making data and performance outcomes available to the College upon request. HB 1638 and SACSCOC require the collection of data points to be longitudinally captured by the School District, in collaboration with the College, will include, at minimum: student enrollment, GPA, retention, persistence, completion, transfer and scholarships. School District will provide parent contact and demographic information to the College upon request for targeted marketing of degree completion or workforce development information to parents of Students. School District agrees to obtain valid FERPA releases drafted to support the supply of such data if deemed required by counsel to either School District or the College. The College conducts and reports regular and ongoing evaluations of the Dual Credit program effectiveness and uses the results for continuous improvement.
Pets and Animals Except for service animals as defined in law, Resident shall maintain no pets or animals (including mammals, reptiles, birds, fish, rodents and insects) upon the premises, nor allow visitors or guests to do so, other than: (Pets’ Name). In consideration for the community allowing Resident to maintain such said pet Resident shall pay a $750.00 Non-Refundable Pet fee. In addition there will be a $50.00 pet fee charged each month.
Program Narrative All restricted xxxxxx courses which are taught for the purpose of qualifying an individual for restricted xxxxxx license to practice barbering shall consist of a minimum of 1200 hours of training to prepare each restricted xxxxxx to service their communities.
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.
