Analysis of Data Sample Clauses

Analysis of Data. At the end of the year we had 10 students at year 9 and 10 students at year 10, that are missing from the end of year data. We conducted these tests during the Junior exam week. I contacted the parents of the students that were absent, though some had legitimate reasons, such as xxxxx’s and illness, there were many parents who thought that the juniors had finished when the Senior students had finished at the end of week 4 of Term 4. This has led me to re-evaluate when testing should be done. Though it is convenient to hold testing once the seniors have left, we continue to miss out on a number of students. Therefore, in 2017 we will be completing the testing within the first two weeks of term 4. For this report comparisons between beginning and end of year date will be made using percentages. Overall, the writing data had shown that a number of students at both Year Nine and Year Ten sat below the recommended curriculum level. At the start of the year, 73% of the year 9 cohort sat below 3A, the average, while 27% of the cohort sat at or above 3A. By the end of the year we can see a marked improvement with 42% of the year 9 cohort sat below 3A, while 58% sat at or above 3A. This is a significant improvement. This 42% equated to 40 students. Of those 40 students, 10 decreased in the level of their writing, 4 did not shift, 17 improved and 11 students that had not been previously tested. Of the upper 58%, which was 55 students; none had decreased in the level of their reading, 5 did not move, 46 improved, and there were 4 students that had not previously been tested. At the start of the year, 74% of the year 10 cohort sat below 4P, the average, while 26% of the cohort sat at or above 4P. By the end of the year we can see a marked improvement with 51% of the year 10 cohort sat below 4P, while 49% sat at or above 4P. This is a significant improvement with 23% of the cohort moving from below to at or above 4P. This 51% equated to 50 students. Of those 50 students, 16 decreased in the level of their writing, 5 did not shift, 25 improved and 4 students that had not been previously tested. Of the upper 49%, which was 49 students; 7 had decreased in the level of their reading, 5 did not move, 35 improved, and there were 2 students that had not previously been tested. These e-asTTle writing tests, are vital as we can see the areas that students need to specifically work on in relation to ideas, structure and language, organisation, vocabulary, sentence structure, pun...
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Analysis of Data. There are pleasing results in the baseline data for the Year 9 2017 cohort. The results show that 80% of all students are sitting at or above level 4 of the NZC for reading. This shows an increasing trend over the years with the percentage of students sitting at or above level 4. In the cohort in 2016 at the start of the year 50% of students were sitting at or above level 4 of the NZC. This is a significant improvement on previous cohorts. Pasifika 1 1 Total 7 1 6 17 26 32 16 3 1 Pasifika 1 1 1 2 2
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Analysis of Data. There are pleasing results in the baseline data for the year 10 2017 cohort. The results show that 92% of all students are sitting at or above level 4 of the NZC for reading. This shows an increasing trend from the end of year testing for this cohort. At the end of year 9 this cohort tested with only 72% of students at or above level 4 of the NZC. At year 10 it desirable that the cohort would be sitting at level 5 of the NZC in preparation for level 1 NCEA. We currently have 19% of the cohort in this position. We are working on gathering portfolio evidence for the (Literacy) Unit Standards: writing, reading, and active participation in discussion. END OF YEAR YEAR 10 E-ASTTLE READING - > 2B 2B 2P 2A 3B 3P 3A 4B 4P 4A 5B 5P 5A 6B Māori 3 2 4 6 9 32 11 1 4
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Analysis of Data. The cohort was tested at writing average of 3P. This is below where we would expect year 10 cohorts to test, which is 4A. We currently have 47% of the year 10 2017 cohort sitting at 3P or above and 9% sitting at 4A or above. To address issues around writing every junior unit within the English programme has a written component. Part of the entry procedures into classes also involves a “Do Now”, which is based around sustained silent writing for 5-10 minutes. In addition, with the help of the in school COL writing coordinator to ensure that writing is a focus across the curriculum. At Year 10 we have a focus on Literacy Unit Standards to aid student achievement.
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Analysis of Data. The revenue data received from cable operator will be used to summarize all revenues earned within the boundaries of the municipality. The revenue summary will document the portion of revenues, which each cable operator has included in the franchise fee remittances. In addition, we will conduct a search for revenues that may have been excluded from recognition. The specific revenue or contra-expense accounts which have been excluded from the compilation of the revenue base will be analyzed to determine if such amounts are properly excluded under the definition of the revenue base found in the Member’s respective franchise agreements and/or ordinances. Any computational errors or revenue definition differences will be clearly indicated in our report. Xxxx & Banks, upon completion of the on-site work and financial analysis, will summarize all findings and prepare a draft copy of the reports for review by a designated official of the Member. All items will be reviewed and discussed before the report is finalized. T&B will provide copies of the finalized report to the appropriate designated Government Official(s). Acting in the capacity as your Representative we will explain and support the review findings and conclusions during negotiation sessions with the cable television operator.
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Analysis of Data. All interviews (where permission is given) shall be recorded and detailed notes shall be compiled. Data shall be analysed using the computer-aided qualitative analysis software (MAXqda) which assists researchers in undertaking systematic coding of large amounts of data and enhances quality assurance procedures. This shall enable the Contractor to draw together schools’ approaches and perceptions of impact, providing a detailed sense of how these are perceived to relate to one another.
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Analysis of Data. Within eighteen months of the effective date of this Agreement and every six months thereafter until the end of five years, the FBI will analyze the employment data maintained in accordance with this Agreement to determine whether the employment practices or personnel systems at issue have had an adverse impact upon any group of employees during the previous data gathering period as well as cumulatively from the date this Agreement was entered.
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Related to Analysis of Data

  • Loss of Data In the event of loss of any State data or records where such loss is due to the intentional act, omission, or negligence of the Contractor or any of its subcontractors or agents, the Contractor shall be responsible for recreating such lost data in the manner and on the schedule set by the Contract Manager. The Contractor shall ensure that all data is backed up and is recoverable by the Contractor.

  • Analysis An analysis of the types, quantity, and availability of labor required to perform all of the Work;

  • Basis of compilation This statement of eligible expenditure has been prepared to meet the requirements of the grant agreement between [enter Grantee name] and the Commonwealth represented by the Department of Industry, Science, Energy and Resources. Significant accounting policies applied in the compilation of the statement of grant income and expenditure include the following: [enter details]

  • Other Data The statistical, industry-related and market-related data included in the Registration Statement, the Statutory Prospectus and the Prospectus, if any, are based on or derived from sources that the Company reasonably and in good faith believes are reliable and accurate, and such data agree with the sources from which they are derived.

  • Source of Data A description of (1) the process used to identify claims in the Population, and (2) the specific documentation relied upon by the IRO when performing the Quarterly Claims Review (e.g., medical records, physician orders, certificates of medical necessity, requisition forms, local medical review policies (including title and policy number), CMS program memoranda (including title and issuance number), Medicare contractor manual or bulletins (including issue and date), other policies, regulations, or directives).‌‌‌

  • Risk Analysis The Custodian will provide the Fund with a Risk Analysis with respect to Securities Depositories operating in the countries listed in Appendix B. If the Custodian is unable to provide a Risk Analysis with respect to a particular Securities Depository, it will notify the Fund. If a new Securities Depository commences operation in one of the Appendix B countries, the Custodian will provide the Fund with a Risk Analysis in a reasonably practicable time after such Securities Depository becomes operational. If a new country is added to Appendix B, the Custodian will provide the Fund with a Risk Analysis with respect to each Securities Depository in that country within a reasonably practicable time after the addition of the country to Appendix B.

  • Use of Data (a) In connection with the provision of the services and the discharge of its other obligations under this Agreement, State Street (which term for purposes of this Section XXIX includes each of its parent company, branches and affiliates (''Affiliates")) may collect and store information regarding a Trust and share such information with its Affiliates, agents and service providers in order and to the extent reasonably necessary (i) to carry out the provision of services contemplated under this Agreement and other agreements between the Trusts and State Street or any of its Affiliates and (ii) to carry out management of its businesses, including, but not limited to, financial and operational management and reporting, risk management, legal and regulatory compliance and client service management.

  • Accuracy of Data The Contractor shall ensure that the data received from Providers is accurate and complete by:

  • Use of Data by User Registry Operator will permit user to use the zone file for lawful purposes; provided that (a) user takes all reasonable steps to protect against unauthorized access to and use and disclosure of the data and (b) under no circumstances will Registry Operator be required or permitted to allow user to use the data to, (i) allow, enable, or otherwise support the transmission by email, telephone, or facsimile of mass unsolicited, commercial advertising or solicitations to entities other than user’s own existing customers, or (ii) enable high volume, automated, electronic processes that send queries or data to the systems of Registry Operator or any ICANN-­‐accredited registrar.

  • Data To permit evaluation of requests under paragraph (c) of this clause based on unreasonable cost, the Contractor shall include the following information and any applicable supporting data based on the survey of suppliers: Foreign (Nondesignated Country) and Domestic Construction Materials Cost Comparison Construction material description Unit of measure Quantity Cost (dollars) * Item 1: Foreign construction material Domestic construction material Item 2 Foreign construction material Domestic construction material [List name, address, telephone number, and contact for suppliers surveyed. Attach copy of response; if oral, attach summary.][Include other applicable supporting information.] [* Include all delivery costs to the construction site.]

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