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.
Industry Ratings The City will only accept coverage from an insurance carrier who offers proof that it:
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
Moody’s Xxxxx’x Investors Service, Inc. and its successors.
Ratings No “nationally recognized statistical rating organization” as such term is defined for purposes of Rule 436(g)(2) (i) has imposed (or has informed the Company that it is considering imposing) any condition (financial or otherwise) on the Company’s retaining any rating assigned to the Company or any securities of the Company or (ii) has indicated to the Company that it is considering any of the actions described in Section 7(c)(ii) hereof.
Rating The Notes can be issued without the requirement that they have any rating from a nationally recognized statistical rating organization.
Insurance Company Rating The required insurance must be written by a company approved to do business in the State or Texas with a financial standing of at least an A- rating, as reflected in Best’s insurance ratings or by a similar rating system recognized within the insurance industry at the time the policy is issued.
Evaluation Rating The final summative evaluation level that is assigned to a teacher based on the holistic review of all Evaluation Factors, observed during the Evaluation Cycle. The rating shall be “accomplished”, “skilled”, “developing”, or “ineffective”. The final rating shall not be weighted in such a way that one (1) domain or component of the evaluation system has a higher importance than another, except that any area marked N/A shall not negatively impact the evaluation rating.
Rating Impact on Student Learning Growth ESE will provide model contract language and guidance on rating educator impact on student learning growth based on state and district-determined measures of student learning. Upon receiving this model contract language and guidance, the parties agree to bargain with respect to this matter.
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.
