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
COMPENSATION ANALYSIS After the expiration of the second (2nd) Renewal Term of this Agreement, if any, a Compensation Analysis may be performed. At such time, based on the reported Total Gross Revenue, performance of the Concession, and/or Department’s existing rates for similarly- performing operations, Department may choose to increase the Concession Payment for the following Renewal Term(s), if any.
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.
Financial Viability and Regulatory Compliance 4.6.1 The Contractor warrants and represents that its corporate entity is in good standing with all applicable federal, state, and local licensing authorities and that it possesses all requisite licenses to perform the services required by this contract. The Contractor further warrants and represents that it owes no outstanding delinquent federal, state, or local taxes or business assessments.
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.
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.
Budget Narrative Services are strictly paid as cost reimbursement. No funds will be paid for services not provided.
Fraud, Waste, and Abuse Contractor understands that HHS does not tolerate any type of fraud, waste, or abuse. Violations of law, agency policies, or standards of ethical conduct will be investigated, and appropriate actions will be taken. Pursuant to Texas Government Code, Section 321.022, if the administrative head of a department or entity that is subject to audit by the state auditor has reasonable cause to believe that money received from the state by the department or entity or by a client or contractor of the department or entity may have been lost, misappropriated, or misused, or that other fraudulent or unlawful conduct has occurred in relation to the operation of the department or entity, the administrative head shall report the reason and basis for the belief to the Texas State Auditor’s Office (SAO). All employees or contractors who have reasonable cause to believe that fraud, waste, or abuse has occurred (including misconduct by any HHS employee, Grantee officer, agent, employee, or subcontractor that would constitute fraud, waste, or abuse) are required to immediately report the questioned activity to the Health and Human Services Commission's Office of Inspector General. Contractor agrees to comply with all applicable laws, rules, regulations, and System Agency policies regarding fraud, waste, and abuse including, but not limited to, HHS Circular C-027. A report to the SAO must be made through one of the following avenues: ● SAO Toll Free Hotline: 1-800-TX-AUDIT ● SAO website: xxxx://xxx.xxxxx.xxxxx.xx.xx/ All reports made to the OIG must be made through one of the following avenues: ● OIG Toll Free Hotline 0-000-000-0000 ● OIG Website: XxxxxxXxxxxXxxxx.xxx ● Internal Affairs Email: XxxxxxxxXxxxxxxXxxxxxxx@xxxx.xxxxx.xx.xx ● OIG Hotline Email: XXXXxxxxXxxxxxx@xxxx.xxxxx.xx.xx. ● OIG Mailing Address: Office of Inspector General Attn: Fraud Hotline MC 1300 P.O. Box 85200 Austin, Texas 78708-5200
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.
Budget Information Funding Source Funding Year of Appropriation Budget List Number Amount EPIC 18-19 301.001F $500,000 EPIC 20-21 301.001H $500,000 R&D Program Area: EDMFO: EDMF TOTAL: $ 1,000,000 Explanation for “Other” selection Reimbursement Contract #: Federal Agreement #:
