Table 9 definition

Table 9. Analysis 2a: metric selection results. Metric - stressor correlation was consistent (yes) if the sign of the correlation was as expected. Xxxxxxxx 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 9. Relation concepts between the different Aspects
Table 9. The means for the possibility to take responsibility M1 SD1 M2 SD2 Time of the measurement 3.28 .74 3.37 .69 Form of teaching safe driving course 3.28 .75 3.30 .68 theory lesson 3.23 .73 3.35 .71 Educational background working 3.43 .79 3.33 .76 studying 3.20 .66 3.34 .54 Age ≤ 20 3.22 .68 3.26 .66 > 20 3.25 .88 3.64 .79 Gender Male 3.35 .70 3.42 .74 Female 3.22 .78 3.31 .65 1= first measurement 2= second measurement Table 10. Analysis of variance for Responsibility Source df F η p Form of teaching (F) 1 2.70 .02 .10 Educational background (E) 1 .23 .00 .63 Age (A) 1 .06 .00 .80 Gender (G) 1 .58 .00 .45 F x G 1 .51 .00 .48 M x G 1 .36 .00 .55 A x G 1 .55 .00 .46 E x G 1 1.23 .01 .27 M x F 1 .60 .00 .44 F x A 1 3.30 .02 .07 F x E 1 .40 .00 .53 E x A 1 .78 .00 .38 error 173

Examples of Table 9 in a sentence

  • The government has established policies related to child labor (Table 9).

  • MEVS Accepted and Denial Codes listed in Table 1 (page 9.0.1) and Table 2 (page 10.0.1), Rx Denial codes listed in Table 7 (page 12.0.1), DVS codes listed in Table 9 (page 14.0.1), and Pend Reason Codes listed in Table 10 (page 15.0.1) will be returned in the Additional Message Info (526-FQ) field.

  • It is recommended to use the following templates in Table 9 and Table 10 to capture the secondary LLS performance metrics of SSB and PRACH performance.

  • Table 9 shows the number of jobs created because of efficiency gains in Standard 90.1-2019.Table 9.

  • Suggested Government Actions to Eliminate Child Labor, Including its Worst FormsAreaSuggested Action Table 9.


More Definitions of Table 9

Table 9. Scale Report Breakdown of Slut by Relationship (Address) 5.0 4.0 3.0 2.0 1.0 0.0
Table 9. The LSE bursary scheme for new UK entrants in 2017
Table 9. Special session at ICEM2020: Session contributions.
Table 9. Methods of transportation (COMM1) Group University students 1 2 3 Victoria (n=15,248) (n=5,263) (n=7,365) (n=2,620) (n=295)
Table 9. Change in Malaysia's Imports Post TPPA: Se ctor-spe cific Re sults of Tariff libe raliz ation Table 10: TPPA Partner countries Exporting to Malaysia Post TPPA: Top Sectors Imports increase Post TPPA- Share of TPPA partner countries in rising Imports of Malaysia Table 11: Main Products of Imports post TPPA from USA and Japan at HS 6-Digit HS code Product Description Trade Total Effect ( 1000 USD) New Imports or Trade Creation Effect (1000 USD ) Trade Diversion Effect ( 1000 USD) Main Items of Imports from Japan Main items of Imports from USA
Table 9. The means for the possibility to take responsibility M1 SD1 M2 SD2 Time of the measurement 3.28 .74 3.37 .69 Educational background working 3.43 .79 3.33 .76 studying 3.20 .66 3.34 .54 Age ≤ 20 3.22 .68 3.26 .66 > 20 3.25 .88 3.64 .79 Gender Male 3.35 .70 3.42 .74 Female 3.22 .78 3.31 .65 1= first measurement 2= second measurement Table 10. Analysis of variance for the possibility Source df F η p Educational background (E) 1 1.81 .01 .18 Age (A) 1 .30 .00 .58 Gender (G) 1 1.58 .01 .21 Measurement (M) 1 1.56 .01 .21 E x A 1 1.78 .01 .18 E x G 1 3.07 .01 .08 E x M 1 1.75 .01 .19 A x G 1 .23 .00 .63 G x M 1 .00 .00 1.00 E x A x G 1 2.59 .01 .11 E x A x M 1 .31 .00 .58 E x G x M 1 1.08 .01 .30 A x G x M 1 .23 .00 .63 E x A x G x M 1 .14 .00 .71 error 210 p The time of the measurement and the age had an interaction on the possibility to take responsibility (F1,210=4.36, p<.05, η 2=.02) (Figure 3). Over 20 years old subjects felt more able to be responsible in the second than in first measurement of the study (U= 304.50, p<.05). On the contrary, 20 year old or younger students felt less able to take responsibility in the second measurement than in the first measurement. Figure 3. Measurement’s and Age’s interaction on the possibility to take responsibility The means for the own activeness are shown in table 11 while in table 12 is shown how educational background, age, gender and time of the measurement influenced the own activeness. Table 11. The means for the own activeness M1 SD1 M2 SD2 Time of the measurement 3.66 .92 3.89 .79 Educational background working 3.78 .89 3.93 .84 studying 3.63 .90 3.77 .70 Age ≤ 20 3.61 .99 3.93 .70 > 20 3.69 .79 4.07 .90 Gender Male 3.72 .82 3.95 .79 Female 3.64 1.00 3.83 .79 1= first measurement 2= second measurement Table 12. Analysis of variance for the own activeness Source df F η p Educational background (E) 1 1.41 .01 .24 Age (A) 1 .15 .00 .70 Gender (G) 0 .00 .00 .00 E x A 1 .32 .00 .57 E x G 1 .71 .00 .40 E x M 1 .24 .00 .62 A x G 1 .15 .00 .70 A x M 1 1.17 .01 .28 G x M 1 1.55 .01 .21 E x A x G 1 3.01 .01 .08 E x A x M 1 .98 .00 .32 E x G x M 1 .04 .00 .85 A x G x M 1 1.11 .01 .29 E x A x G x M 1 .81 .00 .37 Error 210 coaching let the subjects to be in a more active role than the normal driving school education. The means for the interactivity of the teaching style are listed in table 13. In table 14 is shown educational background, age, gender and time of the measurement were related to the interactivity of the teachin...
Table 9. Design capacity and average daily flows for Maryland’s major wastewater treatment plants. WWTP Approved Design Capacity (MGD) Average Flow (MGD)* Total Volume 753.465 613.476 Strategies Accounting for Growth Strategy in the Phase III Watershed Implementation Plan