Problem 2 You’re looking into two manufacturers (A and B) from which to purchase a large number of paving slabs for a large-scale construction project. You may use one manufacturer as a backup if necessary, but only if there’s no significant difference in the weights of their paving slabs. Formulate and draw conclusions with ?? = 0.01 about a set of hypotheses using a nonparametric test. Use the data below. Manufacturer A Manufacturer B 1.0990 1.0390 1.1030 1.0860 1.1540 1.0510 1.1300 1.0560 1.0860 1.0860 1.0780 1.0470 1.0030 1.0540 1.1740 1.0770 1.0960 1.0750 1.1110 1.0950 1.0910 1.0980 1.1260 1.0570 1.1060 1.0510 1.1210 1.0990 1.1920 1.0820 1.0800 1.0170 1.1730 1.0980 1.1850 1.0170 1.2250 1.0580 1.1540 1.1480 1.1470 1.1250 1.1830 1.0640 1.0970 1.0280 1.0020 1.0980 1.1200 1.0950 1.1910 1.0670 1.0400 1.0770 1.1450 1.0780 1.0870 1.0410 1.1170 1.0870 1.0550 1.0470 1.0780 1.0910 0.9990 1.0450 1.1650 1.0930 1.0950 1.0330 1.1220 1.0810 1.1290 1.0580 1.2570 1.0610 1.0850 1.0680 1.1810 1.0470 1.0860 1.0930 1.1030 1.0590 1.1160 1.1150 1.1100 1.0950 1.0830 1.0660 1.1400 1.0500 1.0640 1.1600 1.0730 1.0620 1.0510 1.1060 1.1050 1.1440 1.1020 1.1320 1.1020 1.1370 1.0630 1.0960 1.0740 1.1440 1.1380 1.0550 1.1040 1.1470 1.0980 1.0750 1.1050 1.0860 1.0830 1.0380 1.1390 1.1190 1.0240 1.0780 1.1140 1.0220 1.1590 1.0540 1.0970 1.0500 1.1170 1.1330 1.1690 1.0800 1.0560 1.0710 1.0910 1.0510 1.1460 1.0770 1.1400 1.1050 1.1300 1.0690 1.0720 1.0620 1.1380 1.1080 1.1990 1.0800 1.1080 1.0520 1.1200 1.0370 1.1180 1.0670 1.0830 1.1100 1.1850 1.0780 1.1510 1.1010 1.1670 1.0780 1.1190 1.0720 1.1610 1.0700 1.1530 1.0730 1.0950 1.0580 1.0690 1.0930 1.2220 1.1110 0.8740 1.0610 1.1360 1.0960 1.1050 1.0760 1.1250 1.0660 1.1620 1.0270 1.0440 1.1110 1.1320 1.1200 1.0970 1.1030 1.1210 1.0990 1.2130 1.0510 1.1220 1.1230 1.0910 1.0660 1.0550 1.1080 1.1620 1.0950 1.0630 1.1010 1.0470 1.0080 1.1250 1.0760 1.0880 1.0980 1.1370 1.1220 1.1120 1.0450 1.1170 1.0820 1.1770 1.0600 1.1650 1.0170 1.0300 1.0670 1.0900 1.0770 1.0430 1.1040 1.1220 1.1300 1.0520 1.0690 1.0700 1.0810 1.0450 1.0660 1.0740 1.0470 1.0290 1.0670 1.1120 1.0850 1.1050 1.1300 1.0470 1.1150 1.2060 1.0980 1.0660 1.0670 1.1320 1.0720
Problem 2
You’re looking into two manufacturers (A and B) from which to purchase a large number of
paving slabs for a large-scale construction project. You may use one manufacturer as a backup
if necessary, but only if there’s no significant difference in the weights of their paving slabs.
Formulate and draw conclusions with ?? = 0.01 about a set of hypotheses using a nonparametric
test. Use the data below.
Manufacturer A Manufacturer B
1.0990 1.0390
1.1030 1.0860
1.1540 1.0510
1.1300 1.0560
1.0860 1.0860
1.0780 1.0470
1.0030 1.0540
1.1740 1.0770
1.0960 1.0750
1.1110 1.0950
1.0910 1.0980
1.1260 1.0570
1.1060 1.0510
1.1210 1.0990
1.1920 1.0820
1.0800 1.0170
1.1730 1.0980
1.1850 1.0170
1.2250 1.0580
1.1540 1.1480
1.1470 1.1250
1.1830 1.0640
1.0970 1.0280
1.0020 1.0980
1.1200 1.0950
1.1910 1.0670
1.0400 1.0770
1.1450 1.0780
1.0870 1.0410
1.1170 1.0870
1.0550 1.0470
1.0780 1.0910
0.9990 1.0450
1.1650 1.0930
1.0950 1.0330
1.1220 1.0810
1.1290 1.0580
1.2570 1.0610
1.0850 1.0680
1.1810 1.0470
1.0860 1.0930
1.1030 1.0590
1.1160 1.1150
1.1100 1.0950
1.0830 1.0660
1.1400 1.0500
1.0640 1.1600
1.0730 1.0620
1.0510 1.1060
1.1050 1.1440
1.1020 1.1320
1.1020 1.1370
1.0630 1.0960
1.0740 1.1440
1.1380 1.0550
1.1040 1.1470
1.0980 1.0750
1.1050 1.0860
1.0830 1.0380
1.1390 1.1190
1.0240 1.0780
1.1140 1.0220
1.1590 1.0540
1.0970 1.0500
1.1170 1.1330
1.1690 1.0800
1.0560 1.0710
1.0910 1.0510
1.1460 1.0770
1.1400 1.1050
1.1300 1.0690
1.0720 1.0620
1.1380 1.1080
1.1990 1.0800
1.1080 1.0520
1.1200 1.0370
1.1180 1.0670
1.0830 1.1100
1.1850 1.0780
1.1510 1.1010
1.1670 1.0780
1.1190 1.0720
1.1610 1.0700
1.1530 1.0730
1.0950 1.0580
1.0690 1.0930
1.2220 1.1110
0.8740 1.0610
1.1360 1.0960
1.1050 1.0760
1.1250 1.0660
1.1620 1.0270
1.0440 1.1110
1.1320 1.1200
1.0970 1.1030
1.1210 1.0990
1.2130 1.0510
1.1220 1.1230
1.0910 1.0660
1.0550 1.1080
1.1620 1.0950
1.0630 1.1010
1.0470 1.0080
1.1250 1.0760
1.0880 1.0980
1.1370 1.1220
1.1120 1.0450
1.1170 1.0820
1.1770 1.0600
1.1650 1.0170
1.0300 1.0670
1.0900 1.0770
1.0430 1.1040
1.1220 1.1300
1.0520 1.0690
1.0700 1.0810
1.0450 1.0660
1.0740 1.0470
1.0290 1.0670
1.1120 1.0850
1.1050 1.1300
1.0470 1.1150
1.2060 1.0980
1.0660 1.0670
1.1320 1.0720
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