We use cookies on our site to analyze traffic, enhance your experience, and provide you with tailored content.

For more information visit our privacy policy.

Table 7a Sample Clauses

Table 7a. Statistical targets and milestones relating to your applicants, entrants or student body Reference number Please select target type from the drop-down menu Description (500 characters maximum) Is this a collaborative target? Baseline year Baseline data Yearly milestones (numeric where possible, however you may use text) Commentary on your milestones/targets or textual description where numerical description is not appropriate (500 characters maximum) T16a_01 HESA T1b - NS-SEC classes 4-7 (Young, full-time, undergraduate entrants) Increase proportion of students from NS-SEC classes 4-7 from 18.9% to 23% in 2016/17 No 2013-14 76.1 22% 23% 23% 23% 23% T16a_02 HESA T1b - Low participation neighbourhoods (POLAR3) (Young, full-time, undergraduate entrants) Increase proportion of students from POLAR 3 low participating neighbourhoods, from 4.9% to 8% No 2013-14 5.2 7% 8% 8% 8% 8% T16a_03 HESA T3b - No longer in HE after 1 year & in low participation neighbourhoods (POLAR 2) (Young, full-time, first degree entrants) Ensure % of young full-time entrants from low participation neighbourhoods no longer in HE remains below 3% No 2012-13 1.9 2% 2% 2% 2% 2% T16a_04 HESA T1b - State School (Young, full-time, undergraduate entrants) Increase % of full-time undergraduate entrants from state schools to 80% No 2013-14 76.1 78.5% 80% 80% 80% 80% Alongside applicant and entrant targets, we encourage you to provide targets around outreach and student success work (including collaborative work where appropriate) or other initiatives to illustrate your progress towards increasing access, student success and progression. These should be measurable outcomes ‐based targets and should focus on the number of beneficiaries reached by a particular activity/programme or the number of schools worked with, and what the outcomes were, rather than simply recording the nature/number of activities.
Sample 1See All (6)
Table 7a. Likelihood of Beginning to Pay, Separate Analyses by Earnings Low-Income (earned < $20,000 in year prior to order) Not Low-Income (earned >= $20,000 in year prior to order) Coefficient‌ Standard Error Hazard Ratio Coefficient Standard Error Hazard Ratio Total This month 0.73***‌ 0.04‌ 2.08‌ 0.35***‌ 0.06‌ 1.41‌ †‌ Last month 0.33*** 0.04 1.39 -0.02 0.07 0.98 † 2 months ago 0.24*** 0.05 1.27 -0.03 0.09 0.97 † This month 0.68***‌ 0.08‌ 1.97‌ 0.63***‌ 0.14‌ 1.88‌ Last month 0.16 0.12 1.17 0.10 0.23 1.11 2 months ago 0.01 0.14 1.01 0.17 0.28 1.19 This month 0.31*‌ 0.16‌ 1.36‌ 0.45‌ 0.30‌ 1.57‌ Last month 0.08 0.19 1.09 0.52 0.45 1.69 2 months ago -0.22 0.24 0.81 -0.32 0.74 0.72 This month 1.01***‌ 0.05‌ 2.75‌ 0.96***‌ 0.10‌ 2.62‌ Last month 0.40*** 0.08 1.49 0.38* 0.17 1.46 2 months ago 0.48*** 0.09 1.61 0.27 0.22 1.31 This month 0.66***‌ 0.07‌ 1.93‌ 0.75***‌ 0.14‌ 2.12‌ Last month 0.37** 0.12 1.45 0.33 0.30 1.40 2 months ago 0.17 0.15 1.19 0.52 0.37 1.68 different actions have different lags). Suspending licenses does not have a significantly different relationship between the two subgroups, though it is only significantly associated with beginning to pay for low-income fathers, for whom the standard error is smaller. While letters are associated with beginning to pay for both groups of fathers, the relationship is significantly stronger for low-income fathers. Table 7b examines separate relationships for those who were initial nonpayers compared to those who paid initially but then fell into nonpayment. All enforcement tools are significantly associated with beginning to pay for both groups except for license suspensions (which is significant for initial payers only, though relatively large standard errors and the small incidence means there is no significant difference between the subgroups). Relationships between letters and beginning to pay are significantly stronger for the initial nonpayers than the initial payers, otherwise there is no difference in the strength of the association. Table 7c shows results for those with any marital children contrasted with those who have only nonmarital children. Again there are relationships between all enforcement tools and beginning to pay support for both groups, though license suspensions are significant only for those with any marital children. There are again very few statistically significant differences between the two groups in the relationship between enforcement variables and beginning to pay, suggesting the...
Sample 1
Table 7a. Exposure results for pesticide A in mg per dosimeter for mixer/loaders & operators (TRIAL SET 1) Amount per quantity handled (mg) Table 7b: Exposure results for pesticide B in mg per dosimeter for mixer/loaders and operators (TRIAL SET 1) Amount per quantity handled (mg) Table 7c: Exposure results for pesticide A in mg a.s./ kg a.s. handled for mixer/loaders and operators (TRIAL SET 1) Amount per quantity handled (mga.s./Kg a.s.) Table 7d: Exposure results for pesticide B in mg a.s./ kg a.s. handled for mixer/loaders & operators(TRIAL SET 1) Table 7e.PDE and ADE values for mixer/loaders (mg a.s./kg a.s. handled) PESTICIDE A ML1 ML2 ML3 ML4 ML5 ML6
Sample 1
Table 7a. Statistical targets and milestones relating to your applicants, entrants or student body Reference number Please select target type from the drop-down menu Description (500 characters maximum) Is this a collaborative target? Baseline year Baseline data Yearly milestones (numeric where possible, however you may use text) Commentary on your milestones/targets or textual description where numerical description is not appropriate (500 characters maximum)
Sample 1

Related to Table 7a

  • Table 2 Determinations Determination Concerning Determiner 2.8.2.7 Complaints and Grievances Under the Decision Making Model

  • Table 3 Appendix Information

  • Table 2 (definition of “Casino Gross Revenue”) 15(e) 2 (definition of “Commissioning”) 19 2 (definition of “Committee’s Nominated Representative) 20(1) 6(1)(c) 20(2) 7(8)(a) 21(d) 11(1) 21(e) 11(2) 22(2) 11(3) 23(b) 14(d) 33(2) 15(a)(B) 35(1) 15(b)(i) 35(2) 15(c) 36(b) 15(d) 36(c)

  • Table 4 Ending this Addendum when the Approved Addendum Changes

  • Table 1 Parties Start date The Effective Date of the Agreement The Parties Exporter (who sends the Restricted Transfer) Importer (who receives the Restricted Transfer) Parties’ details Customer Full legal name: Webflow, Inc. Main address (if a company registered address): 000 00xx Xx. Xx 0, Xxx Xxxxxxxxx, Xxxxxxxxxx, 00000, XXX Key Contact Attn: Customer Contact details including email: email address provided by Customer Attn: Privacy Counsel Contact details including email: xxxxxxx@xxxxxxx.xxx

  • Measuring EPP parameters Every 5 minutes, EPP probes will select one “IP address” of the EPP servers of the TLD being monitored and make an “EPP test”; every time they should alternate between the 3 different types of commands and between the commands inside each category. If an “EPP test” result is undefined/unanswered, the EPP service will be considered as unavailable from that probe until it is time to make a new test.

  • Maximum Senior Leverage Ratio Permit the Senior Leverage Ratio on the last day of any fiscal quarter during any period set forth below to be greater than the ratio set forth opposite such date or period below: PERIOD RATIO ------ ----- September 30, 2001 2.50:1.0 December 31, 2001 2.00:1.0 March 31, 2002 through June 30, 2002 2.50:1.0 September 30, 2002 2.00:1.0 December 31, 2002 1.50:1.0 March 31, 2003 through June 30, 2003 2.00:1.0 PERIOD RATIO ------ ----- September 30, 2003 1.50:1.0 December 31, 2003 and thereafter 1.25:1.0

  • Maximum Leverage Permit, as of any fiscal quarter end, the ratio of (a) Adjusted Portfolio Equity as of such fiscal quarter end to (b) Funded Debt as of such fiscal quarter end, to be less than 5.00 to 1.00.

  • Overtime Definition Overtime shall be defined as being all hours worked in excess of the normal or standard work day, or in excess of the normal or standard work week. The overtime rate shall be one and one-half (1½) times the regular straight time hourly rate of pay. NOTE: Article 16.04 is applicable to full-time employees only.

  • Staffing Levels To the extent legislative appropriations and PIN authorizations allow, safe staffing levels will be maintained in all institutions where employees have patient, client, inmate or student care responsibilities. In July of each year, the Secretary or Deputy Secretary of each agency will, upon request, meet with the Union, to hear the employees’ views regarding staffing levels. In August of each year, the Secretary or Deputy Secretary of Budget and Management will, upon request, meet with the Union to hear the employees’ views regarding the Governor’s budget request.

Most Referenced Clauses

Most Referenced Definitions