Table 7 Clause Samples

Table 7. Overview of pre- and post-2012 WP activities at LSE

Table 7. Satisfaction with facilities

Table 7. Members according to occupational background. Occupation Ocak Nahiye Kaza Vilayet Total Lawyer 4 1 2 2 9 Doctor 2 0 1 0 3 Pharmacist 1 0 2 2 5 Veterinarian 0 0 0 0 0 Land owner 122 31 6 1 160 Teacher 23 15 6 0 44 Engineer 0 0 0 0 0 Retired officer 3 3 0 0 6 Retired Civil Servant 13 12 2 0 27 Merchant 308 66 43 4 421 Farmer 2047 154 12 0 2213 Worker 318 2 0 0 320 1. This second report that gives the Administrative Committees’ membership for the entire province has to be read together with the ▇▇▇▇ ▇▇▇▇▇▇’▇ report that is giving the members of the Administrative Committees of the central sub-province, that is the city of Balıkesir from the Vilayet to neighborhood level (ocak), plus the Administrative Committee members of the towns in the Province (sub province level). In Sirmen’s report, i.e. in Balıkesir and the towns of the province, farmers form a tiny, unimportant percentage of the Party Administrative Committee members, while the 1941 report about the entire province reveals a striking 68,9% of farmer members. A 92,4% of these farmer members were registered in the ocak Party level. The ocak is the smallest Party structure corresponding to neighborhoods and, mostly, villages. As for the mighty percentages the consortium of merchants, artisans, and civil servants achieve in the sub-province (kaza) and Vilayet level, it retreats to a tiny 17% of the membership of the entire Party structures of the Province. If we consider these statistics from a different perspective, the percentage of merchant members, for instance, decreases as we descend to the ocak (village) level; from 44% (Vilayet administrative committee), to 58% (Kaza level), to 23% (nahiye), to a 10% at the ocak level. In other words, as we climb the ladder towards the upper echelons of the Party that were definitely more important in terms of decision-making, we observe the preponderance of civil servants, professionals and merchants, or else of urban elites. If we move downwards, towards the villages, the Party membership statistics tend to overlap with the overall population, an observation made by ▇▇▇▇ ▇▇ as well.238 Another rough indication of this tendency can be also demonstrated by a simple comparison of the percentage of illiterates between the Administrative Committee members and the overall Party members of the province of Balıkesir. The 19/3/1941 report239 of the members of the İdare Heyetleri gives a 23% of illiterate members, while the 1942 biannual report240 of the Party membership ...

Table 7. Analysis 1: metric selection results. Metric - stressor correlation was consistent (yes) if the sign of the correlation was as expected. ▇▇▇▇▇▇▇▇ rank correlation between the EQR, calculated using the formula EQR2, and the stressor is reported. A metric was redundant (redundancy=yes) if correlated (r>0.

Table 7. Example Phase I Outcome Payment Calculation for Group I, assuming N1=1000 Final Employment Outcome: 4.000 percentage points 4.000 percentage points < 5.000 percentage point threshold Threshold not met Final Recidivism Outcome: 191.215 bed days 191.215 bed days >= 36.800 bed day threshold Threshold met Final Transitional Job Outcome: 650 PFS Participants12 191.215 bed days >= 36.800 bed day threshold Threshold met Final Employment Outcome: 4.000 percentage points N/A = $0 Final Recidivism Outcome: 191.215 bed days 191.215 bed days * 1,000 * $85 = $16,253,275 Final Transitional Job Outcome: 650 PFS Participants 650 PFS Participants * $3,120 = $2,028,000 100% of Public Sector Benefits from Final Employment Outcome = $0 100% of Public Sector Benefits from Final Recidivism and Transitional Job Outcomes up to value of Phase I Drawdown Amount = $6,832,000 50% of Public Sector Benefits from Final Recidivism and Transitional Job Outcomes thereafter = $5,724,638 = 50% * ($16,253,275+ $2,028,000 - $6,832,000) (e) Release of Outcome Payment 12 Assumes that Average Hours Worked for PFS Participants that Engage in Transitional Jobs is greater than or equal to 111.

Table 7. 3 below summarizes the proposed monitoring frequency and water quality parameters for baseline monitoring.

Table 7. The limits for vehicle in configuration "RESS charging mode coupled to the power grid" with input current > 16 A and ≤ 75 A per phase and subjected to conditional connection are given in paragraph 7.4.2.2. Table 8. Figure 1 Measurement device

Table 7. The means for the own personal growth as a driver M1 SD1 M2 SD2 Time of the measurement 3.65 .82 3.82 .69 Form of teaching safe driving course 3.80 .81 3.97 .64 theory lesson 3.51 .81 3.61 .71 Educational background working 3.77 .98 3.78 .71 studying 3.58 .68 3.82 .67 Age ≤ 20 3.62 .76 3.78 .65 >20 3.54 .90 4.04 .73 Gender male 3.68 .86 3.81 .71 female 3.65 .79 3.83 .66 1= first measurement 2= second measurement Table 8. Analysis of variance for Personal growth as a Source df F η p Form of teaching (F) 1 3.33 .02 .07 Educational background (E) 1 0.14 .00 .70 Age (A) 1 .54 .00 .46 Gender (G) 1 .04 .00 .85 F x G 1 .64 .00 .42 M x G 1 .41 .00 .52 A x G 1 .06 .00 .81 E x G 1 .21 .00 .65 M x F 1 .03 .00 .86 F x A 1 .07 .00 .79 F x E 1 .73 .00 .39 M x E 1 2.72 .02 .10 E x A 1 .01 .00 .94 error 173 p p The time of the measurement had a main effect on the experiences of personal growth (F1,173=5.70, p<.05, η 2=.03). Thus, the driving school education following the rules of coaching offered the subjects a better possibility to experience personal growth as a driver than the normal driving school education. The time of the measurement and age had an interaction on the experiences of personal growth (F1,173=3.94, p<.05, η 2=.02) (Figure 2).

Table 7. Results of Stratified Paired T-­‐Testing By Intervention Characteristic 48