Hi Experts, please kindlt help below is the STEM data set QUESTION Q1 For theSTEMs data, check the claim that all six groups do not have the same mean GPA At the end of the analysis, you should be able o tell which groups have the same GPA means and which have different Write down the varous null and alternate hypotheses for the vrious tests Conduct the tests Explain the results STEM GPA SAT White Female Asian Type KEY 0 3 70 1420 0 0 1 Asian Male 0 4 40 1240 0 1 1 Asian Female STEM 1 Applied to STEM 0 Did not 1 2 90 1450 0 0 0 Other male white 1 Yes 0 no 1 2 90 1520 0 1 0 Other Female Female 1 Yes 0 no 1 4 00 1530 0 1 0 Other Female Asian 1 Yes 0 no 1 3 20 1500 1 1 0 White Female 1 4 20 1490 0 1 1 Asian Female 0 3 50 1140 0 1 0 Other Female 0 2 90 1390 1 1 0 White Female 0 4 30 1100 1 0 0 White Male 0 4 00 1380 1 1 0 White Female 0 4 30 1200 0 0 1 Asian Male 1 3 80 1600 0 1 0 Other Female 0 3 20 1070 0 0 1 Asian Male 0 4 10 1070 1 1 0 White Female 1 3 40 1450 1 1 0 White Female 0 3 20 1320 0 1 0 Other Female 0 4 10 1350 0 0 0 Other Male 0 4 10 1140 0 0 0 Other Male 1 3 70 1370 0 1 1 Asian Female 0 3 60 1050 1 0 0 White Male 0 4 20 1290 0 0 0 Other Male 1 4 30 1590 0 1 0 Other Female 0 4 30 1370 1 0 0 White Male 1 3 80 1430 0 0 0 Other Male 1 3 20 1480 0 0 0 Other Male 0 4 00 1210 0 0 1 Asian Male 0 4 30 1310 0 1 0 Other Female 0 2 80 1240 0 0 0 Other Male 1 4 40 1390 0 0 0 Other Male 1 3 30 1560 1 0 0 White Male 0 2 80 1350 0 1 0 Other Female 1 3 00 1540 0 1 0 Other Female 0 2 50 1110 0 0 0 Other Male 1 2 70 1350 0 1 0 Other Female 1 4 00 1340 0 0 0 Other Male 1 2 50 1450 1 0 0 White Male 1 2 60 1460 0 0 0 Other Male 1 4 50 1350 0 0 1 Asian Male 0 3 70 1140 1 0 0 White Male 0 3 70 1290 1 1 0 White Female 0 2 70 1030 1 0 0 White Male 1 2 90 1570 1 1 0 White Female 0 4 30 1180 0 0 0 Other Male 0 4 20 1100 0 0 0 Other Male 0 3 60 1140 0 0 0 Other Male 1 3 70 1490 0 0 1 Asian Male 1 3 10 1360 1 0 0 White Male 0 3 70 1060 1 1 0 White Female 0 3 10 1100 0 0 1 Asian Male 0 4 10 1100 1 1 0 White Female 0 2 60 1370 1 1 0 White Female 0 4 10 1240 0 1 1 Asian Female 0 3 50 1060 1 0 0 White Male 0 3 80 1180 1 1 0 White Female 1 3 80 1460 1 1 0 White Female 1 3 30 1350 0 1 1 Asian Female 1 3 80 1400 0 0 0 Other Male 1 2 70 1530 0 0 1 Asian Male 0 4 20 1110 1 0 0 White Male 0 3 10 1170 0 0 1 Asian Male 0 4 10 1070 1 1 0 White Female 0 3 20 1170 0 0 0 Other Male 0 3 30 1340 0 0 0 Other Male 0 4 40 1030 1 1 0 White Female 0 2 80 1320 0 0 0 Other Male 1 2 90 1340 1 0 0 white Male 1 2 70 1520 0 1 0 Other Female 1 3 90 1440 0 1 1 Asian Female 0 3 90 1180 1 1 0 White Female 0 3 70 1440 1 1 0 White Female 0 3 40 1190 1 1 0 White Female 1 3 20 1380 1 0 0 White Male 0 2 80 1430 0 1 0 Other Female 1 3 80 1270 1 0 0 White Male 0 3 60 1210 1 0 0 White Male 1 4 40 1470 0 1 0 Other Female 1 2 90 1560 1 1 0 White Female 1 4 50 1500 0 0 0 Other Male 1 3 80 1380 0 0 1 Asian Male 0 2 60 1020 0 1 0 Other Female 0 4 40 1460 1 1 0 White Female 1 3 30 1550 1 1 0 White Female 1 4 00 1400 0 1 1 Asian Female 0 2 60 1200 0 0 0 Other Male 1 4 10 1190 1 0 0 White Male 1 2 80 1410 1 0 0 White Male 0 4 50 1190 1 1 0 White Female 0 2 80 1010 0 1 0 Other Female 0 3 00 1030 0 0 1 Asian Male 0 3 30 1080 1 0 0 White Male 1 3 80 1520 0 0 0 Other Male 0 4 50 1380 1 1 0 White Female 0 3 90 1030 0 1 1 Asian Female 0 3 60 1240 0 1 1 Asian Female 1 3 60 1200 0 0 1 Asian Male 1 4 00 1320 0 1 0 Other Female 0 4 30 1300 0 1 0 Other Female 0 3 90 1070 0 1 0 Other Female 1 3 30 1430 0 1 1 Asian Female 1 4 40 1400 0 0 1 Asian Male 0 2 70 1420 1 1 0 White Female 1 3 30 1310 1 1 0 White Female 1 3 90 1450 1 1 0 White Female 1 2 70 1470 0 0 0 Other Male 1 3 40 1560 0 0 0 Other Male 1 4 20 1550 0 0 0 Other Male 1 3 70 1350 0 0 0 Other Male 0 2 60 1240 0 0 1 Asian Male 0 2 90 1170 0 1 1 Asian Female 1 2 60 1370 0 0 0 Other Male 1 3 00 1470 0 1 0 Other Female 0 3 80 1030 1 1 0 White Female 1 3 10 1600 0 1 0 Other Female 0 4 00 1170 0 1 1 Asian Female 0 4 10 1070 0 0 0 Other Male 1 4 30 1420 0 0 0 Other Male 0 3 90 1080 1 1 0 White Female 0 3 80 1250 0 0 1 Asian Male 0 3 80 1030 0 0 0 Other Male 1 3 70 1210 0 0 1 Asian Male 0 4 30 1340 0 1 0 Other Female 0 3 60 1340 0 1 0 Other Female 0 4 40 1190 0 0 0 Other Male 0 2 80 1120 1 1 0 White Female 0 2 70 1250 1 0 0 White Male 0 4 30 1040 0 0 1 Asian Male 0 3 30 1370 1 1 0 White Female 1 4 40 1550 1 1 0 White Female 1 3 20 1470 0 0 1 Asian Male 1 2 70 1560 1 1 0 White Female 0 3 00 1230 0 1 0 Other Female 1 3 60 1510 0 1 0 Other Female 0 4 50 1070 0 1 1 Asian Female 1 3 70 1460 0 1 0 Other Female 0 3 50 1190 0 1 1 Asian Female 1 3 00 1240 1 0 0 White Male 1 3 90 1390 0 1 0 Other Female 1 3 50 1570 0 0 0 Other Male 1 3 10 1510 0 1 1 Asian Female 0 3 00 1260 0 0 1 Asian Male 1 4 20 1440 0 0 1 Asian Male 1 2 60 1430 1 0 0 White Male 0 3 60 1040 0 1 0 Other Female 0 3 40 1040 1 1 0 White Female 0 3 50 1080 0 1 1 Asian Female 0 3 00 1240 0 1 1 Asian Female 0 3 60 1350 1 0 0 White Male 1 3 60 1450 0 0 1 Asian Male 0 2 90 1240 0 1 0 Other Female 0 4 30 1230 0 0 0 Other Male 0 3 90 1150 0 1 0 Other Female 1 3 20 1370 1 1 0 White Female 1 3 70 1570 0 0 1 Asian Male 0 3 30 1250 0 0 0 Other Male 0 3 20 1020 0 0 0 Other Male 1 3 40 1390 0 1 0 Other Female 1 3 70 1380 0 0 1 Asian Male 0 3 40 1060 0 0 0 Other Male 0 4 30 1070 0 0 1 Asian Male 1 2 60 1550 1 1 0 White Female 1 3 10 1430 1 0 0 White Male 0 2 90 1030 1 1 0 White Female 0 3 10 1210 0 0 0 Other Male 0 3 40 1010 1 1 0 White Female 1 2 50 1380 1 0 0 White Male 1 2 70 1540 1 1 0 White Male 0 3 50 1190 0 0 0 Other Male 0 4 40 1340 0 1 0 Other Female 1 3 70 1530 0 1 1 Asian Female 0 2 60 1000 0 0 0 Other Male 1 4 30 1480 1 0 0 White Male 1 3 60 1200 1 0 0 White Male 0 4 00 1080 0 0 0 Other Male 1 3 00 1450 1 0 0 White Male 0 3 20 1280 0 1 0 Other Female 0 4 10 1100 0 0 0 Other Male 0 3 50 1050 0 0 0 Other Male 1 3 80 1430 1 0 0 White Male 1 3 90 1580 0 0 0 Other Male 0 3 50 1110 0 1 1 Asian Female 1 2 70 1520 0 1 0 Other Female 0 3 10 1020 0 1 1 Asian Female 1 4 40 1450 1 0 0 White Male 0 3 60 1310 0 1 0 Other Female 0 3 20 1050 0 1 0 Other Female 1 3 60 1490 1 0 0 White Male 0 2 60 1160 0 0 0 Other Male 0 4 10 1400 0 1 0 Other Female 0 3 30 1290 0 1 1 Asian Female 0 2 90 1250 1 1 0 White Female 1 4 10 1370 0 0 1 Asian Male 1 3 90 1330 0 0 1 Asian Male 0 2 80 1170 1 1 0 White Female 1 3 00 1520 1 0 0 White Male 0 3 80 1240 1 0 0 White Male 0 3 10 1220 1 1 0 White Female 0 3 90 1100 1 0 0 White Male 1 2 90 1550 1 1 0 White Female 0 4 50 1360 0 0 0 Other Male 0 4 40 1090 0 1 1 Asian Female 1 2 50 1520 1 0 0 White Male 0 4 10 1200 0 1 1 Asian Female 1 2 90 1490 1 0 0 White Male 0 4 30 1260 1 1 0 White Female 1 4 50 1430 0 0 0 Other Male 0 4 40 1250 0 0 0 Other Male 1 2 80 1590 1 0 0 White Male 1 3 10 1410 0 0 1 Asian Male 1 4 00 1230 1 0 0 White Male 0 2 50 1010 1 1 0 White Female 0 2 60 1240 0 1 0 Other Female 0 4 10 1120 0 1 0 Other Female 0 2 70 1100 0 0 1 Asian Male 0 4 00 1240 0 0 1 Asian Male 0 3 60 1510 0 1 0 Other Female 0 2 70 1290 0 1 0 Other Female 1 3 40 1580 0 1 0 Other Female 1 3 60 1410 0 0 1 Asian Male 0 2 70 1050 0 1 1 Asian Female 1 4 00 1480 0 1 1 Asian Female 0 4 40 1090 0 0 0 Other Male 1 3 20 1590 0 0 1 Asian Male 1 2 80 1530 1 1 0 White Female 1 4 20 1570 1 1 0 White Female 0 2 60 1050 0 1 0 Other Female 0 3 80 1030 1 0 0 White Male 1 3 60 1330 0 0 1 Asian Male 1 2 50 1330 1 0 0 White Male 0 3 30 1350 1 1 0 White Female 1 2 50 1220 0 0 1 Asian Male 0 3 70 1270 0 1 1 Asian Female 1 4 10 1390 0 0 0 Other Male 1 2 60 1560 0 1 1 Asian Female 0 4 30 1020 0 0 0 Other Male 0 4 40 1050 0 0 1 Asian Male 0 2 90 1050 1 0 0 White Male 0 2 50 1050 1 1 0 White Female 0 3 90 1300 0 1 1 Asian Female 0 3 80 1390 0 1 0 Other Female

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Question: Hi Experts, please kindlt help. below is the STEM data set: QUESTION: Q1 For theSTEMs data, check the claim that all six groups do not

Hi Experts, please kindlt help. below is the STEM data set:

QUESTION:

Q1	For theSTEMs data, check the claim that all six groups do not have the same mean GPA.
	At the end of the analysis, you should be able o tell which groups have the same GPA means and which have different....
	Write down the varous null and alternate hypotheses for the vrious tests.	Conduct the tests.
	Explain the results

STEM	GPA	SAT	White	Female	Asian	Type		KEY
0	3.70	1420	0	0	1	Asian Male
0	4.40	1240	0	1	1	Asian Female	STEM	1	Applied to STEM	0	Did not
1	2.90	1450	0	0	0	Other male		white	1	Yes		0	no
1	2.90	1520	0	1	0	Other Female	Female	1	Yes		0	no
1	4.00	1530	0	1	0	Other Female	Asian	1	Yes		0	no
1	3.20	1500	1	1	0	White Female
1	4.20	1490	0	1	1	Asian Female
0	3.50	1140	0	1	0	Other Female
0	2.90	1390	1	1	0	White Female
0	4.30	1100	1	0	0	White Male
0	4.00	1380	1	1	0	White Female
0	4.30	1200	0	0	1	Asian Male
1	3.80	1600	0	1	0	Other Female
0	3.20	1070	0	0	1	Asian Male
0	4.10	1070	1	1	0	White Female
1	3.40	1450	1	1	0	White Female
0	3.20	1320	0	1	0	Other Female
0	4.10	1350	0	0	0	Other Male
0	4.10	1140	0	0	0	Other Male
1	3.70	1370	0	1	1	Asian Female
0	3.60	1050	1	0	0	White Male
0	4.20	1290	0	0	0	Other Male
1	4.30	1590	0	1	0	Other Female
0	4.30	1370	1	0	0	White Male
1	3.80	1430	0	0	0	Other Male
1	3.20	1480	0	0	0	Other Male
0	4.00	1210	0	0	1	Asian Male
0	4.30	1310	0	1	0	Other Female
0	2.80	1240	0	0	0	Other Male
1	4.40	1390	0	0	0	Other Male
1	3.30	1560	1	0	0	White Male
0	2.80	1350	0	1	0	Other Female
1	3.00	1540	0	1	0	Other Female
0	2.50	1110	0	0	0	Other Male
1	2.70	1350	0	1	0	Other Female
1	4.00	1340	0	0	0	Other Male
1	2.50	1450	1	0	0	White Male
1	2.60	1460	0	0	0	Other Male
1	4.50	1350	0	0	1	Asian Male
0	3.70	1140	1	0	0	White Male
0	3.70	1290	1	1	0	White Female
0	2.70	1030	1	0	0	White Male
1	2.90	1570	1	1	0	White Female
0	4.30	1180	0	0	0	Other Male
0	4.20	1100	0	0	0	Other Male
0	3.60	1140	0	0	0	Other Male
1	3.70	1490	0	0	1	Asian Male
1	3.10	1360	1	0	0	White Male
0	3.70	1060	1	1	0	White Female
0	3.10	1100	0	0	1	Asian Male
0	4.10	1100	1	1	0	White Female
0	2.60	1370	1	1	0	White Female
0	4.10	1240	0	1	1	Asian Female
0	3.50	1060	1	0	0	White Male
0	3.80	1180	1	1	0	White Female
1	3.80	1460	1	1	0	White Female
1	3.30	1350	0	1	1	Asian Female
1	3.80	1400	0	0	0	Other Male
1	2.70	1530	0	0	1	Asian Male
0	4.20	1110	1	0	0	White Male
0	3.10	1170	0	0	1	Asian Male
0	4.10	1070	1	1	0	White Female
0	3.20	1170	0	0	0	Other Male
0	3.30	1340	0	0	0	Other Male
0	4.40	1030	1	1	0	White Female
0	2.80	1320	0	0	0	Other Male
1	2.90	1340	1	0	0	white Male
1	2.70	1520	0	1	0	Other Female
1	3.90	1440	0	1	1	Asian Female
0	3.90	1180	1	1	0	White Female
0	3.70	1440	1	1	0	White Female
0	3.40	1190	1	1	0	White Female
1	3.20	1380	1	0	0	White Male
0	2.80	1430	0	1	0	Other Female
1	3.80	1270	1	0	0	White Male
0	3.60	1210	1	0	0	White Male
1	4.40	1470	0	1	0	Other Female
1	2.90	1560	1	1	0	White Female
1	4.50	1500	0	0	0	Other Male
1	3.80	1380	0	0	1	Asian Male
0	2.60	1020	0	1	0	Other Female
0	4.40	1460	1	1	0	White Female
1	3.30	1550	1	1	0	White Female
1	4.00	1400	0	1	1	Asian Female
0	2.60	1200	0	0	0	Other Male
1	4.10	1190	1	0	0	White Male
1	2.80	1410	1	0	0	White Male
0	4.50	1190	1	1	0	White Female
0	2.80	1010	0	1	0	Other Female
0	3.00	1030	0	0	1	Asian Male
0	3.30	1080	1	0	0	White Male
1	3.80	1520	0	0	0	Other Male
0	4.50	1380	1	1	0	White Female
0	3.90	1030	0	1	1	Asian Female
0	3.60	1240	0	1	1	Asian Female
1	3.60	1200	0	0	1	Asian Male
1	4.00	1320	0	1	0	Other Female
0	4.30	1300	0	1	0	Other Female
0	3.90	1070	0	1	0	Other Female
1	3.30	1430	0	1	1	Asian Female
1	4.40	1400	0	0	1	Asian Male
0	2.70	1420	1	1	0	White Female
1	3.30	1310	1	1	0	White Female
1	3.90	1450	1	1	0	White Female
1	2.70	1470	0	0	0	Other Male
1	3.40	1560	0	0	0	Other Male
1	4.20	1550	0	0	0	Other Male
1	3.70	1350	0	0	0	Other Male
0	2.60	1240	0	0	1	Asian Male
0	2.90	1170	0	1	1	Asian Female
1	2.60	1370	0	0	0	Other Male
1	3.00	1470	0	1	0	Other Female
0	3.80	1030	1	1	0	White Female
1	3.10	1600	0	1	0	Other Female
0	4.00	1170	0	1	1	Asian Female
0	4.10	1070	0	0	0	Other Male
1	4.30	1420	0	0	0	Other Male
0	3.90	1080	1	1	0	White Female
0	3.80	1250	0	0	1	Asian Male
0	3.80	1030	0	0	0	Other Male
1	3.70	1210	0	0	1	Asian Male
0	4.30	1340	0	1	0	Other Female
0	3.60	1340	0	1	0	Other Female
0	4.40	1190	0	0	0	Other Male
0	2.80	1120	1	1	0	White Female
0	2.70	1250	1	0	0	White Male
0	4.30	1040	0	0	1	Asian Male
0	3.30	1370	1	1	0	White Female
1	4.40	1550	1	1	0	White Female
1	3.20	1470	0	0	1	Asian Male
1	2.70	1560	1	1	0	White Female
0	3.00	1230	0	1	0	Other Female
1	3.60	1510	0	1	0	Other Female
0	4.50	1070	0	1	1	Asian Female
1	3.70	1460	0	1	0	Other Female
0	3.50	1190	0	1	1	Asian Female
1	3.00	1240	1	0	0	White Male
1	3.90	1390	0	1	0	Other Female
1	3.50	1570	0	0	0	Other Male
1	3.10	1510	0	1	1	Asian Female
0	3.00	1260	0	0	1	Asian Male
1	4.20	1440	0	0	1	Asian Male
1	2.60	1430	1	0	0	White Male
0	3.60	1040	0	1	0	Other Female
0	3.40	1040	1	1	0	White Female
0	3.50	1080	0	1	1	Asian Female
0	3.00	1240	0	1	1	Asian Female
0	3.60	1350	1	0	0	White Male
1	3.60	1450	0	0	1	Asian Male
0	2.90	1240	0	1	0	Other Female
0	4.30	1230	0	0	0	Other Male
0	3.90	1150	0	1	0	Other Female
1	3.20	1370	1	1	0	White Female
1	3.70	1570	0	0	1	Asian Male
0	3.30	1250	0	0	0	Other Male
0	3.20	1020	0	0	0	Other Male
1	3.40	1390	0	1	0	Other Female
1	3.70	1380	0	0	1	Asian Male
0	3.40	1060	0	0	0	Other Male
0	4.30	1070	0	0	1	Asian Male
1	2.60	1550	1	1	0	White Female
1	3.10	1430	1	0	0	White Male
0	2.90	1030	1	1	0	White Female
0	3.10	1210	0	0	0	Other Male
0	3.40	1010	1	1	0	White Female
1	2.50	1380	1	0	0	White Male
1	2.70	1540	1	1	0	White Male
0	3.50	1190	0	0	0	Other Male
0	4.40	1340	0	1	0	Other Female
1	3.70	1530	0	1	1	Asian Female
0	2.60	1000	0	0	0	Other Male
1	4.30	1480	1	0	0	White Male
1	3.60	1200	1	0	0	White Male
0	4.00	1080	0	0	0	Other Male
1	3.00	1450	1	0	0	White Male
0	3.20	1280	0	1	0	Other Female
0	4.10	1100	0	0	0	Other Male
0	3.50	1050	0	0	0	Other Male
1	3.80	1430	1	0	0	White Male
1	3.90	1580	0	0	0	Other Male
0	3.50	1110	0	1	1	Asian Female
1	2.70	1520	0	1	0	Other Female
0	3.10	1020	0	1	1	Asian Female
1	4.40	1450	1	0	0	White Male
0	3.60	1310	0	1	0	Other Female
0	3.20	1050	0	1	0	Other Female
1	3.60	1490	1	0	0	White Male
0	2.60	1160	0	0	0	Other Male
0	4.10	1400	0	1	0	Other Female
0	3.30	1290	0	1	1	Asian Female
0	2.90	1250	1	1	0	White Female
1	4.10	1370	0	0	1	Asian Male
1	3.90	1330	0	0	1	Asian Male
0	2.80	1170	1	1	0	White Female
1	3.00	1520	1	0	0	White Male
0	3.80	1240	1	0	0	White Male
0	3.10	1220	1	1	0	White Female
0	3.90	1100	1	0	0	White Male
1	2.90	1550	1	1	0	White Female
0	4.50	1360	0	0	0	Other Male
0	4.40	1090	0	1	1	Asian Female
1	2.50	1520	1	0	0	White Male
0	4.10	1200	0	1	1	Asian Female
1	2.90	1490	1	0	0	White Male
0	4.30	1260	1	1	0	White Female
1	4.50	1430	0	0	0	Other Male
0	4.40	1250	0	0	0	Other Male
1	2.80	1590	1	0	0	White Male
1	3.10	1410	0	0	1	Asian Male
1	4.00	1230	1	0	0	White Male
0	2.50	1010	1	1	0	White Female
0	2.60	1240	0	1	0	Other Female
0	4.10	1120	0	1	0	Other Female
0	2.70	1100	0	0	1	Asian Male
0	4.00	1240	0	0	1	Asian Male
0	3.60	1510	0	1	0	Other Female
0	2.70	1290	0	1	0	Other Female
1	3.40	1580	0	1	0	Other Female
1	3.60	1410	0	0	1	Asian Male
0	2.70	1050	0	1	1	Asian Female
1	4.00	1480	0	1	1	Asian Female
0	4.40	1090	0	0	0	Other Male
1	3.20	1590	0	0	1	Asian Male
1	2.80	1530	1	1	0	White Female
1	4.20	1570	1	1	0	White Female
0	2.60	1050	0	1	0	Other Female
0	3.80	1030	1	0	0	White Male
1	3.60	1330	0	0	1	Asian Male
1	2.50	1330	1	0	0	White Male
0	3.30	1350	1	1	0	White Female
1	2.50	1220	0	0	1	Asian Male
0	3.70	1270	0	1	1	Asian Female
1	4.10	1390	0	0	0	Other Male
1	2.60	1560	0	1	1	Asian Female
0	4.30	1020	0	0	0	Other Male
0	4.40	1050	0	0	1	Asian Male
0	2.90	1050	1	0	0	White Male
0	2.50	1050	1	1	0	White Female
0	3.90	1300	0	1	1	Asian Female
0	3.80	1390	0	1	0	Other Female

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19.5 The major change in the plan is the substitution of the extra $5 million of borrowing from the bank in the second quarter and the corresponding reduction in the stretched payables. This...

2. Measure the implicit interest rate on credit sales.

7. Compare alternatives for investing excess funds over short horizons.