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.
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 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.
Statistical Information Any third-party statistical and market-related data included in the Registration Statement, the Time of Sale Disclosure Package and the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate in all material respects.
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.
Program Management 1.1.01 Implement and operate an Immunization Program as a Responsible Entity
Data Quality 4.1 Each party ensures that the shared Personal Data is accurate.
STATEWIDE CONTRACT MANAGEMENT SYSTEM If the maximum amount payable to Contractor under this Contract is $100,000 or greater, either on the Effective Date or at any time thereafter, this section shall apply. Contractor agrees to be governed by and comply with the provisions of §§00-000-000, 00-000-000, 00-000-000, and 00- 000-000, C.R.S. regarding the monitoring of vendor performance and the reporting of contract information in the State’s contract management system (“Contract Management System” or “CMS”). Contractor’s performance shall be subject to evaluation and review in accordance with the terms and conditions of this Contract, Colorado statutes governing CMS, and State Fiscal Rules and State Controller policies.
Project Management Project Management Institute (PMI) certified project manager executing any or all of the following: • Development of Project Charter • Development of project plan and schedule • Coordination and scheduling of project activities across customer and functional areas • Consultation on operational and infrastructure requirements, standards and configurations • Facilitate project status meetings • Timely project status reporting • Address project issues with functional areas and management • Escalation of significant issues to customers and executive management • Manage project scope and deliverable requirements • Document changes to project scope and schedule • Facilitate and document project closeout
Configuration Management The Contractor shall maintain a configuration management program, which shall provide for the administrative and functional systems necessary for configuration identification, control, status accounting and reporting, to ensure configuration identity with the UCEU and associated cables produced by the Contractor. The Contractor shall maintain a Contractor approved Configuration Management Plan that complies with ANSI/EIA-649 2011. Notwithstanding ANSI/EIA-649 2011, the Contractor’s configuration management program shall comply with the VLS Configuration Management Plans, TL130-AD-PLN-010-VLS, and shall comply with the following:
