Table 7a Sample Clauses

Table 7a. Statistical targets and milestones relating to your applicants, entrants or student body 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) 2014-15 2015-16 2016-17 2017-18 2018-19 1 HESA T1b - State School (Young, full-time, undergraduate entrants) Restore 2009/10 levels of participation for young full-time undergraduates from state schools to 95.4% by 2016/17 No 2009/10 95.4% 94.5% 95% 95.4% In the 2012/13 agreement MMU anticipated that participation would drop nationally in the first two years following the introduction of tuition fees and made a commitment to arresting that fall and restoring participation levels of target groups to current levels over the next five years. Early indications suggest this may be a very ambitious target and once the actual figures are available we will review this position and may alter our targets accordingly. 2 HESA T1b - Low participation neighbourhoods (POLAR2) (Young, full-time, undergraduate entrants) Restore 2009/10 levels of participation for young full-time undergraduates from Low Participation Neighbourhoods to 15.5% by 2016/17 No 2009/10 15.5% 14.5% 15% 15.5% In the 2012/13 agreement MMU anticipated that participation would drop nationally in the first two years following the introduction of tuition fees and made a commitment to arresting that fall and restoring participation levels of target groups to current levels over the next five years. Early indications suggest this may be a very ambitious target and once the actual figures are available we will review this position and may alter our targets accordingly. 3 HESA T3b - No longer in HE after 1 year & in low participation neighbourhoods (POLAR 2) (Young, full-time, first degree entrants) To half the difference between the non- continuation rate for young full-time first degree entrants from LPNs and that for those from other neighbourhoods No 2009/10 3.5% 2.5% 2% 1.75% Non-continuation rate for those from LPNs in 2009/10 was 12.8% compared with 9.3% for other neibourhoods, resulting in the current 3.5% difference . 4 HESA T3b - No longer in HE after 1 year & in low participation neighbourhoods (POLAR 2) (Young, full-time, first degree entrants) To improve the ...
Sample 1See All (6)
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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

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  • Table 4 Ending this Addendum when the Approved Addendum Changes

  • 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 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.

  • 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.

  • Mileage Measurement Where required, the mileage measurement for LIS rate elements is determined in the same manner as the mileage measurement for V&H methodology as outlined in NECA Tariff No. 4.

  • Accrual of Seniority Seniority shall accrue during: (a) the first one hundred and nineteen (119) calendar days of sick leave including time on E.I. sick benefit or Income Replacement Benefits under the Automobile Insurance Act; (b) unpaid leaves of absence up to and including one hundred and sixty-eight (168) work hours in a calendar year; (c) hours absent while receiving benefits from the Worker’s Compensation Board; (d) temporary positions, out-of-scope of any union, with the Employer not to exceed twelve (12) months unless extended by mutual agreement with the union; (e) bereavement leave, pressing necessity leave, family responsibility leave, medical care leave; (f) jury duty and court service; (g) vacation leave; (h) leave for elected Public Office; (i) union leave; (j) all maternity/paternity/adoption/parental leave; (k) education leave up to twenty-four (24) months. (l) Long-term disability or Income Replacement Benefits under the Automobile Insurance Act. (m) If an Employee’s hours of work are reduced due to a disability, full-time Employees shall maintain their pre- disability accrual rate. Other than full-time Employees shall accrue seniority as follows: (i) For those who have worked one (1) year or more: Paid Hours in Previous 52 Weeks = Seniority Hours Per 52 Week of Leave (ii) For other than full-time Employees who have worked for less than one (1) year:

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