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.
For Product Development Projects and Project Demonstrations Published documents, including date, title, and periodical name. Estimated or actual energy and cost savings, and estimated statewide energy savings once market potential has been realized. Identify all assumptions used in the estimates. Greenhouse gas and criteria emissions reductions. Other non-energy benefits such as reliability, public safety, lower operational cost, environmental improvement, indoor environmental quality, and societal benefits. Data on potential job creation, market potential, economic development, and increased state revenue as a result of the project. A discussion of project product downloads from websites, and publications in technical journals. A comparison of project expectations and performance. Discuss whether the goals and objectives of the Agreement have been met and what improvements are needed, if any.
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.
TRUNK FORECASTING 58.1. CLEC shall provide forecasts for traffic utilization over trunk groups. Orders for trunks that exceed forecasted quantities for forecasted locations will be accommodated as facilities and/or equipment are available. Embarq shall make all reasonable efforts and cooperate in good faith to develop alternative solutions to accommodate orders when facilities are not available. Company forecast information must be provided by CLEC to Embarq twice a year. The initial trunk forecast meeting should take place soon after the first implementation meeting. A forecast should be provided at or prior to the first implementation meeting. The semi-annual forecasts shall project trunk gain/loss on a monthly basis for the forecast period, and shall include:
Monitoring and Adjusting Forecasts Verizon will, for ninety (90) days, monitor traffic on each trunk group that it establishes at ECI’s suggestion or request pursuant to the procedures identified in Section 14.2 of this Attachment. At the end of such ninety-(90) day period, Verizon may disconnect trunks that, based on reasonable engineering criteria and capacity constraints, are not warranted by the actual traffic volume experienced. If, after such initial ninety (90) day period for a trunk group, Verizon determines that any trunks in the trunk group in excess of two (2) DS1s are not warranted by actual traffic volumes (considering engineering criteria for busy Centium Call Second (Hundred Call Second) and blocking percentages), then Verizon may hold ECI financially responsible for the excess facilities and disconnect such excess facilities.
LIS Forecasting 7.2.2.8.1 Both CLEC and Qwest shall work in good faith to define a mutually agreed upon forecast of LIS trunking.
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
Forecasting Manager and Sprint PCS will work cooperatively to generate mutually acceptable forecasts of important business metrics including traffic volumes, handset sales, subscribers and Collected Revenues for the Sprint PCS Products and Services. The forecasts are for planning purposes only and do not constitute Manager's obligation to meet the quantities forecast.
Additional Information for Product Development Projects Outcome of product development efforts, such copyrights and license agreements. • Units sold or projected to be sold in California and outside of California. • Total annual sales or projected annual sales (in dollars) of products developed under the Agreement. • Investment dollars/follow-on private funding as a result of Energy Commission funding. • Patent numbers and applications, along with dates and brief descriptions. Additional Information for Product Demonstrations: • Outcome of demonstrations and status of technology. • Number of similar installations. • Jobs created/retained as a result of the Agreement.
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.
