Count and subtract:@0.410080:0.095599:0.911984:0.095599:0.911984:0.066346:0.410080:0.066346:0.027308:0.033568:0.032057:0.034108:0.026822:0.015003:0.028010:0.034108:0.031679:0.015003:0.027848:0.032057:0.027254:0.026822:0.028117:0.028010:0.027308:0.026822
Count and subtract:@0.410080:0.095599:0.911984:0.095599:0.911984:0.066346:0.410080:0.066346:0.027308:0.033568:0.032057:0.034108:0.026822:0.015003:0.028010:0.034108:0.031679:0.015003:0.027848:0.032057:0.027254:0.026822:0.028117:0.028010:0.027308:0.026822
52:@0.094441:0.943673:0.113755:0.943673:0.113755:0.928923:0.094441:0.928923:0.009657:0.009657
Maths–:@0.810837:0.940536:0.850824:0.940536:0.850824:0.930703:0.810837:0.930703:0.011098:0.006273:0.004406:0.006819:0.005067:0.006324
Pre-Primer:@0.850693:0.940536:0.907747:0.940536:0.907747:0.930703:0.850693:0.930703:0.006756:0.004521:0.006400:0.003886:0.006756:0.004521:0.003124:0.010172:0.006400:0.004521
Good:@0.661083:0.966039:0.691064:0.966039:0.691064:0.956207:0.661083:0.956207:0.009283:0.006883:0.006883:0.006933
Very Good:@0.736722:0.966039:0.793853:0.966039:0.793853:0.956207:0.736722:0.956207:0.006837:0.006463:0.004846:0.005384:0.003619:0.009283:0.006883:0.006883:0.006933
Excellent:@0.842024:0.966039:0.889935:0.966039:0.889935:0.956207:0.842024:0.956207:0.006997:0.005473:0.005968:0.006463:0.002908:0.002908:0.006463:0.006997:0.003733
=:@0.778286:0.391809:0.806476:0.391809:0.806476:0.354937:0.778286:0.354937:0.028190
–:@0.662351:0.391050:0.686160:0.391050:0.686160:0.354178:0.662351:0.354178:0.023809
5:@0.604574:0.393564:0.632764:0.393564:0.632764:0.356692:0.604574:0.356692:0.028190
1:@0.721237:0.393708:0.749427:0.393708:0.749427:0.356836:0.721237:0.356836:0.028190
=:@0.346591:0.391809:0.374781:0.391809:0.374781:0.354937:0.346591:0.354937:0.028190
–:@0.230657:0.391050:0.254465:0.391050:0.254465:0.354178:0.230657:0.354178:0.023809
9:@0.172879:0.393564:0.201069:0.393564:0.201069:0.356692:0.172879:0.356692:0.028190
2 :@0.289542:0.393708:0.328208:0.393708:0.328208:0.356836:0.289542:0.356836:0.028190:0.010476
=:@0.346591:0.653412:0.374781:0.653412:0.374781:0.616540:0.346591:0.616540:0.028190
–:@0.230657:0.652653:0.254465:0.652653:0.254465:0.615781:0.230657:0.615781:0.023809
8:@0.172879:0.655167:0.201069:0.655167:0.201069:0.618295:0.172879:0.618295:0.028190
3:@0.289542:0.655311:0.317732:0.655311:0.317732:0.618439:0.289542:0.618439:0.028190
=:@0.778286:0.653412:0.806475:0.653412:0.806475:0.616540:0.778286:0.616540:0.028190
–:@0.662351:0.652653:0.686160:0.652653:0.686160:0.615781:0.662351:0.615781:0.023809
6:@0.604574:0.655167:0.632763:0.655167:0.632763:0.618295:0.604574:0.618295:0.028190
4:@0.721237:0.655311:0.749426:0.655311:0.749426:0.618439:0.721237:0.618439:0.028190
=:@0.346591:0.911506:0.374781:0.911506:0.374781:0.874634:0.346591:0.874634:0.028190
–:@0.230657:0.910746:0.254465:0.910746:0.254465:0.873875:0.230657:0.873875:0.023809
7:@0.172879:0.913260:0.201069:0.913260:0.201069:0.876388:0.172879:0.876388:0.028190
5:@0.289542:0.913405:0.317732:0.913405:0.317732:0.876533:0.289542:0.876533:0.028190
=:@0.778286:0.911506:0.806475:0.911506:0.806475:0.874634:0.778286:0.874634:0.028190
–:@0.662351:0.910746:0.686160:0.910746:0.686160:0.873875:0.662351:0.873875:0.023809
3:@0.604574:0.913260:0.632763:0.913260:0.632763:0.876388:0.604574:0.876388:0.028190
2:@0.721237:0.913405:0.749426:0.913405:0.749426:0.876533:0.721237:0.876533:0.028190
Look at the pictures and subtract the numbers.:@0.275618:0.139695:0.906922:0.139695:0.906922:0.115113:0.275618:0.115113:0.017048:0.016857:0.016857:0.016635:0.006984:0.015492:0.010730:0.006984:0.010730:0.017524:0.015492:0.006984:0.017651:0.008825:0.014000:0.010730:0.017524:0.012704:0.015492:0.013651:0.006984:0.015492:0.017714:0.017619:0.006984:0.013651:0.017524:0.017365:0.010730:0.012600:0.015492:0.014000:0.010730:0.006984:0.010730:0.017524:0.015492:0.006984:0.017714:0.017524:0.026413:0.017365:0.015492:0.013143:0.013651:0.006508