Good day tutor, could you kindly assist in answering the questions(1-3 only)below. Please take note of the instruction and data set showns below.

The first data set has salaries of recent graduates (within the last five years) from public universities or private universities; thesecond data set contains data for the favorite sport freshmen at Big Ten Universities best like to watch. The following are instructions for two different hypothesis tests: the first (#s 1-6) is about the difference in population means (1 2 ); the second (#s 7-12) is a Chi-Square Goodness of Fit test.

For Problems1 - 6: A researcher claims that, on average, recent graduates from private universities earn at least $5000 more per year than graduates from public universities. Using the first data set and = 0.01, test if there is evidence against the researcher's claim. That is, test that the difference is not more than $5000

Questions (need help here)

1. Could you help define the parameter(s) in the context of the problem.
2. Could you help State the hypotheses for this test.
3. In the Variable 1 Range field:

Could you help select the Private data - including the "Private University" label In the Variable 2 Range field: select the Public data - including the "Public University" label Enter the hypothesized value for the difference in means (from #2);

Could you also Check the "Labels" box; Enter alpha of 0.01; Select "Output Range" and enter E2 in the field; resize the output for easier reading: double click on the small vertical bars dividers between the column headers of E and F; F and G; and G and H, finally provide the copy and paste the output from E2:G14

Data set:

Private University	Public University
58878.66	42545.94
72080.56	86914.89
63743.64	93220.61
81018.57	48826.9
77160.13	43750.09
77535.37	56173.95
67803.82	66816.77
102140.13	46175.76
46626.62	86749.49
84375.51	66292.88
46353.33	63892.95
78113.87	51010
58707.28	86749.44
50379.62	45064.9
78358.12	94074.1
97967.97	65357.33
89501.6	73412.55
51540.79	50695.4
71850.34	58633.43
40894.52	53232.85
70022	95903.43
93974.41	81920.95
77537.06	73597.29
83668.64	81524.29
91611.48	54405.88
80122.97	52392.3
81539.11	67387.46
65772.14	87761.65
46064.45	54507.48
73574.09	92895.5
80431.85	88532.74
56644.22	41897.89
57871.52	43762.43
69004.35	65984.03
65509.34	87000.55
48623.15	75807.69
43628.01	66740.78
91006.87	82703.64
56022.63	58424.15
66304.41	65462.2
61790.77	39982.5
75857.16	84752.09
60951.87	52028.49
64730.12	65483.67
73263.86	56925.79
77303	69736.43
45437.85	49542.18
87699.3	71628.78
62488.01	91358.4
59655.36	52568.57
74263.75	72511.61
48196.33	56041.55
88239.42	80752.91
55734.81	75437.24
71213.24	51104.89
55639.66	65593.17
52482.21	46935.06
61645.62	97420.91
77602.12	97241.29
59728.99	86773.56
49463.04	77623.62
78049.64	64911.76