Is there a difference in the average medical malpractice claim amount for those who have private insurance versus those who do not have private insurance? A random sample of insurance claims was collected and the data can be found below

a. Provide the graph that illustrates the relationship of the claim amount between the two groups.

b. Test at the 0.05 level of significance. What is your conclusion?

c. Does your conclusion change if the level of significance is changed to 0.01? Why or why not?

d. What assumption(s) was (were) required to perform this hypothesis test?

e. Does (do) the assumption(s) appear to be reasonably met in this case? Does it matter if the assumptions are or are not met in this case? Paste the Minitab output required to answer this question here.

Amount	Severity	Age	Private Attorney	Marital Status	Specialty	Insurance	Gender
426500	6	37	1	2	Pediatrics	1	Female
64000	4	66	1	2	Plastic Surgeon	2	Female
17604	7	69	1	2	Internal Medicine	1	Male
1986	3	56	0	2	Urological Surgery	1	Female
41500	5	42	1	2	General Surgery	4	Male
33708	7	69	1	2	General Surgery	1	Male
177498	3	34	1	2	OBGYN	1	Female
64000	4	45	1	1	Orthopedic Surgery	1	Female
5250	5	42	1	2	Internal Medicine	1	Female
28000	5	73	1	4	Ophthamology	4	Female
9500	4	2	1	1	Emergency Medicine	4	Female
4000	3	31	1	2	Orthopedic Surgery	1	Male
38100	3	36	1	2	OBGYN	3	Female
34000	3	24	1	2	Anesthesiology	4	Female
21500	5	42	1	0	Neurology/Neurosurgery	1	Male
16500	3	29	1	2	Family Practice	3	Female
48500	3	61	1	2	Orthopedic Surgery	5	Male
136500	9	49	1	2	General Surgery	4	Female
376500	7	0	1	1	OBGYN	1	Female
311500	3	28	1	2	General Surgery	1	Female
926500	8	34	1	2	Dermatology	1	Male
74000	2	60	1	2	Anesthesiology	1	Female
86500	4	69	1	2	OBGYN	2	Female
36500	7	80	1	3	Ophthamology	1	Female
32000	5	29	1	2	Family Practice	3	Female
2534	3	48	0	2	General Surgery	1	Female
10250	3	39	1	4	Family Practice	4	Male
27000	3	37	1	2	Physical Medicine	4	Female
160000	3	36	1	4	General Surgery	4	Male
531710	4	48	1	4	Neurology/Neurosurgery	1	Male
296542	9	42	1	2	Family Practice	1	Male
26500	5	45	1	2	Family Practice	4	Male
6500	4	18	1	1	Orthopedic Surgery	1	Male
536500	6	35	1	2	Urological Surgery	1	Male
102001	4	43	0	1	OBGYN	1	Female
231500	7	43	1	0	Orthopedic Surgery	1	Male
231500	7	43	1	0	Neurology/Neurosurgery	1	Male
4111	3	7	0	1	Ophthamology	1	Female
5830	3	31	0	1	Orthopedic Surgery	3	Male
161500	3	70	1	2	Neurology/Neurosurgery	2	Female
61500	8	51	1	2	General Surgery	3	Female
11500	7	57	1	2	Emergency Medicine	4	Male
56500	4	53	1	4	Orthopedic Surgery	4	Male
41500	9	21	1	1	Family Practice	4	Male
11500	5	30	1	0	Family Practice	2	Female
51000	4	33	1	2	Orthopedic Surgery	2	Male
851500	7	43	1	1	OBGYN	1	Female
251500	7	43	1	1	OBGYN	1	Female
101500	5	43	1	2	Ophthamology	1	Female
221500	7	50	1	2	Family Practice	1	Male
46500	2	11	1	1	Family Practice	3	Female
2776	3	40	1	2	OBGYN	1	Female
19000	3	28	1	2	Cardiology	1	Female
76500	6	21	1	1	Resident	2	Female
21500	7	57	1	2	Cardiology	1	Male
776500	8	42	1	0	Emergency Medicine	4	Male
361500	5	23	1	2	Family Practice	1	Female
91500	8	33	1	1	General Surgery	1	Female
7500	1	24	1	2	OBGYN	1	Female
10648	3	25	1	4	General Surgery	1	Female
21700	4	18	1	4	Family Practice	1	Female
6500	4	65	0	2	Internal Medicine	1	Female
2435	5	21	0	1	Internal Medicine	2	Female
139000	6	24	1	2	Neurology/Neurosurgery	5	Female
139000	6	24	1	2	Neurology/Neurosurgery	5	Female
15000	3	41	1	2	Family Practice	1	Female
31500	9	63	1	2	General Surgery	2	Female
8000	9	63	1	2	Internal Medicine	2	Female
21500	3	33	1	4	Orthopedic Surgery	1	Female
96180	8	44	0	2	Pathology	1	Female
11000	3	38	0	2	OBGYN	1	Female
206500	4	37	0	0	General Surgery	2	Female
7500	3	14	0	1	Emergency Medicine	1	Female
51500	7	56	1	2	Neurology/Neurosurgery	4	Male
14000	7	46	1	2	Emergency Medicine	1	Male
21500	3	31	1	2	General Surgery	4	Male
10500	3	33	1	2	Resident	4	Male
20500	4	37	0	1	Emergency Medicine	4	Male
20500	4	37	0	4	Radiology	4	Male
21500	3	87	0	1	Internal Medicine	2	Male
23500	4	63	0	2	Urological Surgery	1	Female
46861	4	76	0	2	Radiology	4	Male
96500	9	73	0	2	General Surgery	4	Female
351500	9	59	0	2	Internal Medicine	4	Male
101500	9	64	1	2	Family Practice	4	Male
6910	3	40	0	2	Anesthesiology	1	Male
74000	4	12	1	1	Pediatrics	1	Female
13500	3	33	1	2	Family Practice	1	Male
14000	4	57	1	2	Family Practice	1	Male
22750	3	31	0	2	Resident	3	Female
21500	5	34	0	4	Plastic Surgeon	4	Female
6500	4	31	1	1	Thoracic Surgery	1	Female
2015	3	66	0	2	Anesthesiology	4	Male
16500	4	19	1	1	Orthopedic Surgery	1	Female
3500	4	27	1	2	Radiology	4	Male
111500	5	51	1	2	Orthopedic Surgery	4	Female
19500	9	78	1	3	General Surgery	4	Female
2155	3	40	0	4	Anesthesiology	4	Male
4749	3	22	0	1	Emergency Medicine	3	Male
2760	3	65	0	4	Anesthesiology	2	Male
1567	3	40	0	4	Anesthesiology	4	Female
2010	3	50	0	4	Internal Medicine	4	Male
2025	3	21	0	4	Anesthesiology	4	Male
9000	3	54	0	2	Occupational Medicine	1	Female
1550	3	70	0	2	Anesthesiology	4	Female
1574	3	46	0	2	Anesthesiology	4	Male
82500	9	73	1	2	Cardiology	2	Female
82500	9	73	1	2	Cardiology	2	Female
3700	3	40	0	2	OBGYN	3	Female
251500	5	56	1	2	Family Practice	3	Female
24039	3	50	0	2	Ophthamology	4	Male
3500	4	53	0	2	Family Practice	1	Female
16500	4	31	0	1	OBGYN	2	Female
6500	3	24	0	2	Dermatology	4	Female
1805	3	40	0	4	Anesthesiology	3	Female
1644	3	72	0	4	Anesthesiology	2	Male
22750	3	31	0	2	OBGYN	3	Female
1573	3	57	0	2	Anesthesiology	4	Female
			key:
Marital Status	0=divorced, 1=single, 2=married, 3=widowed, 4=unknown
Insurance	1=private, 2=Medicare/Medicaid, 3=No insurance, 4=Unknown, 5=Worker Compensation
Private Attorney	Claimant represented by private attorney: 1=Private Attorney, 0=Not Private
Severity	1 (emotional trauma) to 9 (death)
Gender	Gender of the claimant
Age	Age of the claimant
Amount	Amount of claim payment in dollars