1.To test whether the mean time to mix a batch of adhesive is the same for machines produced by four manufacturers, TiteBondMax obtained DATA on the time (mins) needed to mix the materials. Test whether the machines have equal mean mixing time at alpha=0.01
Manufacturer A B C D 25 23 25 26 23 21 25 27 21 23 25 26 23 24 21 24Customer Eye Condition Gender Bifocal Female Bifocal Male Nearsighted Male 4 Nearsighted Female 5 Nearsighted Female 6 Nearsighted Female 7 Bifocals Female Nearsighted Female 9 Bifocals Female 10 Farsighted Male 11 Nearsighted Female 12 Male 13 Nearsighted Male 14 Nearsighted Female 15 Nearsighted Male 16 Farsighted Male 17 Nearsighted Female 18 Farsighted Male 19 Farsighted Male 20 Farsighted Male 21 Farsighted Male 22 Bifocals Male 23 Nearsighted Female 24 Bifocal Female 25 Nearsighted Male 26 Bifocal Female 27 Bifocals Female 28 Bifocal Female 29 Nearsighted Male 30 Nearsighted Female 31 Difocab Male 32 Nearsighted Male 33 Bifocal Female 34 Nearsighted Female 35 Farsighted Male 36 Bifocal Female 37 Bifocal Male 38 Nearsighted Male 39 Nearsighted Male 40 Farsighted Male 41 Bifocal Male 42 Nearsighted Female 43 Farsighted Male 44 Nearsighted Male 45 Nearsighted Female 46 Farsighted Male 47 Bifocal Male 48 Bifocals Female 49 Nearsighted Female 50 Farsighted Male50 Farsighted Male 51 Farsighted Male 52 Bifocal Female 53 Female 54 Nearsighted Male 55 Nearsighted Male 56 Nearsighted Female 57 Nearsighted Female 58 Nearsighted Male 59 Farsighted Male 60 Nearsighted Male 61 Nearsighted Male 62 Bifocal Male 63 Nearsighted Female 64 Farsighted Male 65 Nearsighted Male 66 Male 67 Female 68 Nearsighted Female 69 Nearsighted Female 70 Nearsighted Female 71 Farsighted Male 72 Nearsighted Female 73 Male 74 Bifocal Female 75 Female 76 Farsighted Female 77 Farsighted Female 78 Farsighted Female 79 Farsighted Female 80 Farsighted Female 81 Farsighted Female 82 Farsighted Female 83 Farsighted Female 84 Farsighted FemaleONone of the answers match my table O Count of Gender Column Labels Row Labels - Bifocals Farsighted Nearsighted Grand Total Female 15 9 20 44 Male 10 15 15 40 Grand Total 25 24 35 84 O Count of Eye Condition Column Labels ~ Row Labels - Bifocals Farsighted Nearsighted Grand Total Female 13 27 5 45 Male 24 7 39 Grand Total 21 51 12 84 O Count of Eye Condition Column Labels Row Labels - Bifocals Farsighted Nearsighted Grand Total Female 22 9 16 47 Male 17 15 5 37 Grand Total 39 24 21 84 O Count of Eye Condition Column Labels Row Labels - Bifocals Farsighted Nearsighted Grand Total Female 29 9 17 55 Male 9 11 29 Grand Total 38 18 28 84\fPart Quality Supplier Good Minor Defect Major Defect A 100 5 B 160 22 4 C 150 7 11Territory A C D E Sales Volume 110 130 100 106 110variable1 variable2 -8.78162 18.34055 7.39749 2.85607 3.75278 6.23950 -3.91953 13.58786 -7.62142 18.08145 -4.59753 12.85170 -3.41580 13.45867 -0.28752 8.95585 -8.37001 18.84054 6.00523 3.95631 -3.85438 13.08315 -2.86084 13.53479 4.42861 4.86409 -1.24050 9.81458 -4.80313 15.31168 -5.14316 14.74720 -7.41768 17.07810 -5.39179 15.51509 2.34057 8.38950 -8.82911 19.72766 -1.77868 11.60777 -8.99293 18.44845 -7.83663 18.07113 1.56835 7.71226variable1 variable2 -0.21582 0.89369 0.56997 -0.72620 -0.54850 -0.09185 -0.12385 0.50086 0.06975 -0.73607 0.16327 0.88498 -0.72595 -0.27512 0.22500 0.62647 -0.40463 0.92432 0.67652 0.56368 -0.82322 0.73005 0.06747 -0.74824 0.74055 0.79412 -0.71577 -0.04509 -0.82231 -0.70951 -0.47603 0.01573 0.58094 0.51169 -0.58573 0.10376 0.19003 -0.90089 -0.49528 0.04767 0.93083 0.16886 0.61389 -0.65529 -0.91742 0.25296 0.60957 -0.24747
