Quantitative Methods Ch2 1-5

. Chapter 2: Exercises 2-1 through 2-5

For questions 4 and 5, your only assignment is to read and explain the results of the solutions attached here.

· 2-1 Your organization collects data on individual patients shown in Appendix Table 2. Identify whether each variable is measured nominally, ordinally, or as an interval/ratio variable.

· Appendix Table 2 Patient Satisfaction, by Insurer, Same Day of Appointment, Prescription Coverage and Level of Co-pay

Gender	Age	Convenience Satisfaction	Insurer	Same day appointment?	Rx coverage	Co-pay ($)
M	22	5	Select	Y	Y	15
M	24	4	Select	Y	N	15
F	45	5	Select	Y	Y	10
F	38	5	Select	Y	Y	10
F	48	3	Select	Y	N	10
F	50	4	Select	Y	Y	20
M	67	4	Medicare	Y	Y	5
F	23	5	Tri-state	N	Y	10
F	19	5	Tri-state	N	Y	15
M	14	3	Tri-state	Y	Y	20
F	27	5	Reliant	Y	N	15
M	33	3	Reliant	N	N	0
F	39	4	Reliant	N	N	5
F	47	4	Tri-state	N	Y	5
M	42	5	Tri-state	N	N	5
M	31	5	Reliant	N	N	15
M	20	4	Reliant	N	Y	15
F	72	5	Medicare	Y	Y	15
F	44	4	Tri-state	N	N	20
M	45	5	Select	Y	N	20
F	60	3	Reliant	Y	Y	20
M	63	5	Tri-state	Y	Y	5
F	27	5	Tri-state	Y	Y	5
M	68	5	Medicare	N	Y	5
F	33	5	Reliant	N	Y	10
F	38	3	Reliant	N	Y	15
F	55	4	Medicare	N	Y	15
M	51	5	Select	Y	Y	15
F	48	4	Tri-state	Y	Y	20
M	49	5	Tri-state	Y	Y	0
M	55	5	Select	N	Y	5
F	61	4	Reliant	Y	N	0
F	23	5	Medicare	Y	N	0
M	69	5	Medicare	N	Y	20
F	41	4	Tri-state	Y	N	5
F	14	4	Medicare	Y	N	0

·

· 2-2 What statistical measures would you use to summarize the variable for age? What about for gender? For convenience satisfaction? How would you present these graphically?

· 2-3 If you are interested in whether satisfaction scoring differed by the amount the individual paid as a co-pay, how would you state this inquiry as testable hypotheses (the null and alternative)? What statistical test would you run to test this hypothesis?

· 2-4 Perform the test defined in Table 2-3. State your conclusions.

· Table 2-3 Observational Data for ED Visits and Lab Tests

Date	Ed Visits	Lab Tests
15-Sep	5	12	Correlation Coefficient r = .977 Critical value of r = .532 with n = 14
16-Sep	8	12
17-Sep	9	24
18-Sep	12	36
19-Sep	14	48
20-Sep	2	0
21-Sep	4	0
22-Sep	8	12
23-Sep	7	12
24-Sep	12	36
25-Sep	14	48
26-Sep	6	12
27-Sep	18	60
28-Sep	12	36

·

· 2-5 Compare gender and having Rx coverage. State your hypotheses. Perform the appropriate statistical test and interpret.