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# HIMS 650 FINAL EXAMS Fall 2015 SOLUTIONS USE AS A GUIDE ONLY

Question posted by

Final Exam – HIMS 650 Fall 2015 SOLUTIONS

Directions:
Please answer all questions. There are 14 questions and the exam is worth 25% of your total grade. The questions are not equally weighted. The point
value for each question is listed below (100 points total). Data needed to complete the exam are contained in this Excel file.
All answers are to be contained in one excel file. You can save this file under your name and complete the work within this file. Please do not delete
this tab, the instructions tab.
This is an open book, open notes exam. The one limitation is that you may NOT work with other people. This test must be completed independently.
Show your work to gain partial credit.

Name:
Problem #

Point Value
1
2
3
4
5
6
7
8
9
10
11
12
13
14

Sum

9
9
4
4
4
4
5
5
5
5
10
10
15
11
100

0

Julie Moultrie

Q1. Which of the words below are typically used to describe quantitative research methods? (Select all
that apply.)
A. Subjective
B. Objective
C. Descriptive
D. Numeric
E. Random
F. Focus is on the research subject's view

B. D. E.

Total Points =

B.
C.
A.

Total Points =

C.

Total Points =

B.

Total Points =

B.

Total Points =

B.

Total Points =

B.

Total Points =

B.

Total Points =

C.

Total Points =

C.
Total Points =
dep, indep, numerical, increase, decrease

Q2: Match the appropriate inferential statistical test to the provided definitions.
A. t test
B. ANOVA
C. Chi-Square

1. Used to test independence for more than 2 means (i.e.
compares the means of more than 2 groups)
Letter: _______
2. Used to test the independence between 2 or more categorical
variables
Letter: _______
3. Used to compare means of 2 groups
Letter: _______

Q3: What is the risk of performing the t=test using pooled variance, if the variances between the 2
samples are actually unequal (i.e.. fail the F test) ?
A. Your result will only be applicable for a one-tail t-test
B. You will fail to adjust for sample size.
C. You may falsely accept or reject the null hypothesis.

Q4. The probability that a new advertising campaign will increase sales is assessed as being 0.80. The
probability that the cost of developing the new ad campaign can be kept within the original budget
allocation is 0.40. Assuming that the two events are independent, the probability that the cost is kept
within budget and the campaign will increase sales is: (Select the correct answer from the choices
below.)
A. 0.20
B. 0.32
C. 0.40
D. 0.88

Q5. Which variable in the following list is a categorical variable? (Select the correct answer from the
choices below.)
A. Country
B. Height
C. Daylight Savings Time

Q6. According to the empirical rule, if the data form a &quot;bell-shaped curve&quot; (normal distribution),
approximately what percent of the observations will be contained within + /- 2 standard deviations
from the arithmetic mean. (Select the correct answer from the choices below.)
A.
B.
C.
D.

99.7
95.0
75.0
68.3

Q7. You believe that there is a relationship between heart failure readmissions to the hospital and
patients being educated on heart fialure symptoms. What would your null (H0) and alternative (H1)
hypotheses be? (Select the correct answer from the choices below.)
A. H0: Heart failure readmissions and patient education are independent. H1: Heart failure readmissions
are dependent on patient education.
B. H0: Heart failure readmissions are dependent on patient education. H1: Heart failure readmissions
and patient education are independent.

Q8. Which of the following distributions is/are discrete probability distribution(s) (select all that apply)?
A.
B.
C.
D.

Normal Distribution
Poisson Distribution
F Distribution
Binomial Distribution

Q9. A confidence interval was used to estimate the proportion of statistics students that are males. A
random sample of 115 statistics students generated the following 90% confidence interval: (0.557,
0.673). Based on the interval above, is the population proportion of males equal to 0.60?
A) Yes, and we are 90% sure of it.
B) Yes, and we are 95% sure of it.
C) Maybe. 0.60 is a believable value of the proportion based on the information given.
D) No. The proportion is 54.17%.
E) No, and we are 90% sure of it.
F) No, and we are 95% sure of it.

Q10. This question is related to simple linear regression. In simple linear regression, the goal is to determine if
there is a linear change in the _______ variable based on a change in the ______ variable. The dependent
variable will always be a ________ variable. If a negative relationship is found, this means that as the
independent variable _______, the dependent variable _______.
(Select the correct answer from the choices below to correctly fill in the blank words.)
A. dependent, independent, categorical, increases, decreases
B. independent, dependent, categorical, increases, decreases
C. independent, dependent, categorical, decreases, increases
C. dependent, independent, numerical, increases, decreases
D. dependent, independent, numerical, decreases, increases
E. independent, dependent, numerical, decreases, increases

Total

0

Pe rs on

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
16 0
16 1
16 2
16 3
16 4
16 5
16 6
16 7
16 8
16 9
170
171
172
173
174
175
176
177
178
179
18 0
18 1
18 2
18 3
18 4
18 5
18 6
18 7
18 8
18 9
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
26 0
26 1
26 2
26 3
26 4
26 5
26 6
26 7
26 8
26 9
270
271
272
273
274
275
276
277
278
279
28 0
28 1
28 2
28 3
28 4
28 5
28 6
28 7
28 8
28 9
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
36 0
36 1
36 2
36 3
36 4
36 5
36 6
36 7
36 8
36 9
370
371
372
373
374
375
376
377
378
379
38 0
38 1
38 2
38 3
38 4
38 5
38 6
38 7
38 8
38 9
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
46 0
46 1
46 2
46 3
46 4
46 5
46 6
46 7
46 8
46 9
470
471
472
473
474
475
476
477
478
479
48 0
48 1
48 2
48 3
48 4
48 5
48 6
48 7
48 8
48 9
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
56 0
56 1
56 2
56 3
56 4
56 5
56 6
56 7
56 8
56 9
570
571
572
573
574
575
576
577
578
579
58 0
58 1
58 2
58 3
58 4
58 5
58 6
58 7
58 8
58 9
590
591
592
593
594
595
596
597
598
599
6 00
6 01
6 02
6 03
6 04
6 05
6 06
6 07
6 08
6 09
6 10
6 11
6 12
6 13
6 14
6 15
6 16
6 17
6 18
6 19
6 20
6 21
6 22
6 23
6 24
6 25
6 26
6 27
6 28
6 29
6 30
6 31
6 32
6 33
6 34
6 35
6 36
6 37
6 38
6 39
6 40
6 41
6 42
6 43
6 44
6 45
6 46
6 47
6 48
6 49
6 50
6 51
6 52
6 53
6 54
6 55
6 56
6 57
6 58
6 59
660
661
662
663
664
665
666
667
668
669
6 70
6 71
6 72
6 73
6 74
6 75
6 76
6 77
6 78
6 79
680
681
682
683
684
685
686
687
688
689
6 90
6 91
6 92
6 93
6 94
6 95
6 96
6 97
6 98
6 99
700
701
702
703
704
705
706
707

Wa iting T
ime

35
25
40
51
50
55
16
36
49
27
31 A)
21
20
28
30
17
32
34
39
34
35
34
51
37
36
33
58
70 B)
47
62
31
55
22
43
47
57
37
33
45
34
46
24
30
23
34
38
38
35
60
21 C)
31
12
52
25
31
46
43
47
44
24
27
45
41
29
36
39
44
39
29
57
43
39
46
47
32
29
49
26
22
45
44
60
52
51
39
38
43
38
27
20
46
42
44
40
28
50
35
30
30
34
33
33
46
43
32
51
20
44
37
38
31
33
46
46
43
45
54
41
44
57
35
48
39
49
37
30
49
32
43
43
35
34
24
58
32
39
36
66
51
47
51
40
43
36
26
51
35
25
46
46
42
42
32
45
43
49
10
43
53
21
38
52
55
40
39
57
38
31
47
38
48
42
53
37
28
23
12
39
41
38
40
41
53
39
27
24
40
48
23
32
43
36
35
36
34
30
44
39
51
41
39
40
40
38
26
40
39
46
31
44
40
39
47
56
25
26
44
50
29
17
29
40
42
28
29
43
39
33
39
29
29
48
54
31
36
39
56
44
55
40
54
32
28
50
47
21
51
36
27
19
30
43
47
37
37
40
34
47
33
61
45
44
28
47
52
31
35
25
52
48
40
16
43
43
50
28
50
32
31
21
52
28
53
26
34
25
54
38
41
48
57
37
28
32
46
47
43
23
24
37
32
32
47
30
37
36
53
25
29
36
27
24
16
44
35
42
18
50
19
33
28
37
39
55
33
30
31
44
51
24
48
54
31
39
30
45
40
38
28
35
45
38
48
28
46
50
26
42
20
39
48
48
39
30
44
43
45
29
44
54
40
34
40
56
14
38
37
48
50
54
20
46
42
45
43
37
55
43
38
38
37
21
42
40
45
36
46
51
57
25
44
36
31
45
61
51
40
33
36
27
39
35
44
25
43
48
29
42
43
48
36
40
34
43
54
36
28
29
45
54
32
30
48
40
42
64
32
30
50
35
24
49
25
34
24
27
44
39
21
58
40
52
38
36
38
19
31
52
40
34
32
27
50
63
47
37
29
37
35
34
47
35
41
46
40
22
38
45
36
22
22
30
41
32
59
36
47
50
33
20
29
39
41
47
17
31
40
39
37
36
53
46
25
33
35
29
36
39
28
46
36
45
30
41
25
61
46
27
53
35
24
34
41
31
44
36
43
19
27
53
40
47
26
25
36
36
48
48
35
43
48
30
31
35
43
21
50
57
38
25
38
53
40
51
49
42
30
34
51
43
45
29
17
37
48
47
33
31
41
27
43
22
53
54
31
51
45
47
27
51
34
50
22
29
68
34
34
45
35
21
38
47
47
35
42
56
42
39
33
41
38
54
67
20
39
55
48
40
50
48
37
30
28
26
13
26
45
46
50
34
25
19
33
34
48
32
48
41
47
49
44
41
36
42
33
46
37
31
30
56
42
39
48
29
39
36
43
56
34
53
44
54
58
47
58
37
38
53
31
40
27
38
52
41
39
30
19
32
22
49
38
50
49
47
44
46
41
37
35
31
37
57
38
53
31
55
25
42
43
27
63
44
28
23
21
34
22
25
20
31
35
49
45
37
36
29
51
48
32
55
28
46
53
41
31
36
45

Q12. The wait times at an emergency room are g iven in columns A and B.
A. Generate a frequency distribution of 12 Bins for emergency room wait. Use the =MIN() , =MAX(), and
=FREQUENCY() functions.
B.Make sure the graph includes a title. Label the x and y axis.
C. Suppose a patient is selected at random. Let A = the event the patient’s wait is between 25 and 30 minutes.
Find the probability of A.

e:
Wait times in Mins. Number of patien
ts
10
15
70
20
60
25
5
30
35
40
45
50
55
60
65
70
T
otal
S how your gr of the fr
aph
equency distribution her
e.

P (A)

708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
76 0
76 1
76 2
76 3
76 4
76 5
76 6
76 7
76 8
76 9
770
771
772
773
774
775
776
777
778
779
78 0
78 1
78 2
78 3
78 4
78 5
78 6
78 7
78 8
78 9
790
791
792
793
794
795
796
797
798
799
8 00
8 01
8 02
8 03
8 04
8 05
8 06
8 07
8 08
8 09
8 10
8 11
8 12
8 13
8 14
8 15
8 16
8 17
8 18
8 19
8 20
8 21
8 22
8 23
8 24
8 25
8 26
8 27
8 28
8 29
8 30
8 31
8 32
8 33

19
30
41
34
26
40
46
21
34
30
42
36
33
40
28
29
34
57
20
37
42
41
54
21
41
28
42
45
29
36
33
25
42
42
37
43
41
61
29
42
17
37
48
29
34
32
34
46
37
56
34
26
44
37
36
22
30
32
30
25
37
49
31
37
37
47
36
63
14
38
31
37
51
42
35
25
34
30
50
33
34
38
32
49
39
38
37
27
39
36
26
31
44
49
45
43
28
49
25
45
23
49
53
41
47
41
23
21
47
49
41
34
29
32
26
30
42
28
57
45
36
34
33
42
51
22

Q11. A random sample of 10 independent observations from a normally distributed population yielded the following values 151, 153,
149, 143, 147, 146, 145, 130, 160, 152.
a) Using α = .05, test the hypothesis that the true mean is 150 against the alternative that the true mean is not 150. You will calculate
confidence limits to solve this problem. Show your work.
b) State the conclusion.

a)
95% lower CL
95% upper CL
B)

Q13. Refer to the tab titled &quot;ED Satisfaction&quot; for data required to solve this problem. You are looking at results of patient satisfaction from 2 different hospitals in your healthcare system
related to patient experience in the Emergency Department (ED). One hundred patients from each hospital took a survey related to their satisfaction after being treated in the ED. The
survey results were calculated on a scale from 0 to 10, with 10 indicating complete satisfaction. Hospitals are titled Hospital A and Hospital B. You want to know if patient satisfaction in the
ED was the same or different based on the hospital.
Answer questions 1 through 3 below.

#1. What is your null hypothesis (H0) for this research topic? (Select either A or B from below.)
A. ED patient satisfaction is dependent on which hospital treatment was recieved from.
B. There is no difference in patient satisfaction related to the ED experience in Hospital A or Hospital B.

#2. Calculate the mean of the patient satisfaction score for each hospital.
A. ______ Hospital A patient satistaction
B. ______ Hospital B patient satisfaction

#3. Perform the appropriate statistical test to test for significance between the the two groups. Note, you can use the &quot;data analysis toolpak&quot; to get your result. Based on your
results:
A. What p-value did you find and is this significant?
B. Would you accept or reject the null hypothesis?

Q14. Refer to the tab titled &quot;Financial Data&quot; for data required to solve this problem. This data represents financial data associated with 4 different types of readmissions. Use
the column titled &quot;Cause of Readmission&quot; and the column titled &quot;Length of Stay&quot; to answer the following questions.
Answer questions 1 through 2 below.

#1. What is an appropriate null hypothesis (H0) for this data analysis?
A. There is a significant difference in length of stay for the 4 different causes of readmissions.
B. There is no difference in length of stay for the 4 different causes of readmissions.

#2. Perform a one-way ANOVA to test for significant difference in Length of Stay between the 4 causes for readmissions. (It is recommended that you use the data
analysis toolpak addin to perform the test. You will need to rearange the data to be able to run the test appropriately. You can create a new tab with the data ordered
in the way that is required to run this test.)
Based on the p-value from your ANOVA test, woul d you accept or reject your null hypothesis ? Explain why.

Hospital A

Hospital B
9.1
7.8
1.1
8.8
3.3
5.6
1.4
9.1
3.4
7.6
5.8
1.0
8.5
7.7
3.7
4.6
7.8
0.9
8.3
1.1
4.0
3.2
8.8
0.2
8.0
1.7
3.2
8.9
4.5
2.8
8.8
7.9
1.5
9.2
7.2
3.9
7.5
3.2
3.8
1.8
3.6
4.8
7.2
7.1
4.3
2.8
4.6
7.2
8.0
2.8
5.8
5.1
9.2
7.1
1.4
5.2
9.8
5.3
3.2
3.6
8.0
5.2
5.1
9.6
9.9
5.8
6.7
0.6
9.3
1.6
0.2
5.5
1.7
4.5
8.4
9.3
1.9
8.1
9.2
8.9
2.6
7.1
8.1
0.9

9.9
6.1
6.8
8.3
3.0
0.9
9.9
3.8
6.1
9.3
3.4
7.2
5.3
6.9
9.0
2.5
5.5
3.9
8.6
4.5
3.0
5.2
0.2
0.7
2.6
8.0
7.0
5.9
1.1
8.8
6.3
3.7
4.3
9.0
8.2
7.4
8.3
7.6
2.7
3.2
4.1
9.2
9.9
7.4
6.6
8.2
7.6
7.5
9.2
3.7
8.1
9.5
7.9
6.5
6.9
3.9
3.8
9.3
6.3
8.9
10.0
8.7
9.7
8.6
6.2
8.3
7.2
7.0
3.8
4.5
3.7
4.5
7.6
10.0
7.1
9.5
3.1
7.9
8.8
1.2
8.9
7.7
6.5
8.9

1.0
9.3
7.2
7.5
5.6
8.4
9.4
1.1
0.6
9.8
2.0
7.7
0.7
0.7
8.3
6.7

6.8
9.0
7.0
9.4
9.0
7.7
2.7
5.9
8.5
7.6
5.0
8.1
6.6
5.3
10.0
7.5

Net Income
(payments
Cost for Readmission (Direct &amp; Indirect
(payments minus Direct minus all
Cause for Readmission Length of Stay (Direct Cost)
Cost)
Cost)
costs)
Stroke
2
2,918.52
4,662.57
302.48
-1,441.57
Stroke
4
6,126.04
10,283.49
7,659.49
3,502.04
Stroke
21
34,254.54
49,821.55
-34,254.54
-49,821.55
Stroke
4
6,552.89
9,712.34
5,600.18
2,440.73
Stroke
6
7,527.53
13,344.35
2,582.65
-3,234.17
Stroke
6
10,130.00
14,938.41
-4,333.01
-9,141.42
Stroke
4
4,062.03
6,759.87
11,841.31
9,143.47
Stroke
3
9,810.99
16,237.06
6,092.35
-333.72
Stroke
0
7,004.56
10,107.25
-3,816.56
-6,919.25
Stroke
2
3,415.81
6,164.34
4,694.73
1,946.20
Stroke
4
5,714.02
8,542.52
8,012.06
5,183.56
Stroke
4
10,099.63
15,408.73
-1,509.29
-6,818.39
Stroke
8
13,232.88
19,471.54
434.25
-5,804.41
Stroke
13
24,369.46
36,267.13
-10,577.92
-22,475.59
Stroke
1
2,541.71
4,011.66
6,038.03
4,568.08
Stroke
2
3,124.63
4,498.31
1,702.62
328.94
Stroke
9
18,791.70
27,502.88
-8,721.85
-17,433.03
Stroke
10
14,250.70
24,682.84
12,575.80
2,143.66
GI bleed
6
13,644.71
19,962.66
3,710.95
-2,607.00
GI bleed
7
10,641.59
17,457.52
17,331.56
10,515.63
GI bleed
6
19,804.83
32,001.11
12,920.91
724.63
GI bleed
12
19,963.48
32,880.62
6,702.69
-6,214.45
GI bleed
64
129,991.43
193,072.59
109,846.26
46,765.10
GI bleed
6
12,268.38
20,159.23
-3,897.03
-11,787.88
GI bleed
7
16,367.14
26,061.84
8,588.13
-1,106.57
GI bleed
8
21,415.23
34,698.89
4,430.16
-8,853.50
GI bleed
19
87,459.32
123,875.69
-87,459.32 -123,875.69
GI bleed
7
5,195.98
9,438.76
-6.62
-4,249.40
GI bleed
7
10,577.25
17,920.86
-4,310.07
-11,653.68
GI bleed
1
4,461.89
7,489.02
-2,900.72
-5,927.85
GI bleed
7
13,105.81
21,026.30
503.44
-7,417.05
GI bleed
21
32,881.21
52,215.48
-10,518.27
-29,852.54
GI bleed
5
11,913.88
17,580.10
1,504.32
-4,161.90
GI bleed
3
7,219.69
11,569.92
2,439.11
-1,911.12
GI bleed
125
380,925.88
611,084.63
66,334.11 -163,824.64
GI bleed
5
7,812.40
11,141.75
5,854.60
2,525.25
GI bleed
4
11,157.51
16,504.90
-38.51
-5,385.90
GI bleed
13
23,316.11
33,744.85
10,734.89
306.15
GI bleed
2
1,028.09
1,683.89
1,026.25
370.45
GI bleed
14
16,616.67
27,906.64
16,965.33
5,675.36
GI bleed
20
22,514.15
38,089.79
25,095.85
9,520.21
GI bleed
3
7,550.32
10,793.76
6,607.11
3,363.67
GI bleed
6
10,522.42
15,477.25
3,635.01
-1,319.82
GI bleed
3
11,655.19
17,146.59
13,539.07
8,047.67
GI bleed
7
7,753.23
13,323.02
-4,127.58
-9,697.37
GI bleed
6
18,359.35
26,862.81
-11,120.65
-19,624.11
GI bleed
4
7,183.82
10,081.45
-1,344.29
-4,241.92
GI bleed
4
7,641.23
12,393.07
4,799.39
47.55
GI bleed
13
29,042.65
41,740.96
-21,627.09
-34,325.40
GI bleed
7
10,683.13
16,645.19
-3,733.57
-9,695.63
GI bleed
6
20,846.80
33,526.36
-13,560.15
-26,239.71
GI bleed
12
32,297.84
48,622.88
-10,229.69
-26,554.73
GI bleed
3
6,478.88
9,369.63
1,063.85
-1,826.90
GI bleed
6
9,014.08
13,081.15
-1,622.20
-5,689.27
GI bleed
4
7,790.32
10,894.00
-2,666.93
-5,770.61
GI bleed
15
21,518.37
31,594.07
-10,430.36
-20,506.06
GI bleed
4
5,727.10
8,659.04
1,904.49
-1,027.45
GI bleed
4
8,336.49
12,372.10
-944.61
-4,980.22
GI bleed
6
13,228.18
19,526.87
-5,596.59
-11,895.28
GI bleed
5
14,288.42
23,899.36
-7,338.86
-16,949.80
GI bleed
10
16,953.57
26,700.66
-9,666.92
-19,414.01
GI bleed
10
19,820.92
30,975.46
-12,534.27
-23,688.81
GI bleed
18
29,905.40
47,439.19
-8,969.44
-26,503.23
GI bleed
17
65,136.85
99,204.41
-33,408.50
-67,476.06
GI bleed
5
12,756.26
20,926.11
-5,651.15
-13,821.00
GI bleed
7
15,392.46
22,183.58
-6,419.09
-13,210.21
GI bleed
3
4,819.55
7,122.36
2,470.62
167.81
GI bleed
1
4,904.67
7,205.43
2,607.40
306.64
GI bleed
7
13,036.49
19,207.08
-5,715.76
-11,886.35
GI bleed
7
8,101.95
14,204.40
-3,937.79
-10,040.24
GI bleed
5
8,154.63
12,242.43
-1,204.35
-5,292.15
GI bleed
7
18,654.11
26,403.31
-1,487.16
-9,236.36
Other
11
26,185.48
37,791.74
15,709.95
4,103.69
Other
10
43,017.45
63,146.31
-40,499.05
-60,627.91
Other
2
8,450.48
12,147.31
54,390.27
50,693.44
Other
6
11,971.95
17,924.75
18,467.01
12,514.21
Other
25
38,717.19
65,784.58
36,504.06
9,436.67
Other
1
878.17
1,324.07
10,004.39
9,558.49
Other
7
50,819.52
70,275.06
233,448.90
213,993.36
Other
1
1,704.41
2,548.50
1,751.13
907.04
Other
15
14,627.96
25,215.99
-2,120.03
-12,708.06

Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Other
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire
Vtach &amp;/or AICD fire

33
4
11
1
2
2
6
1
0
5
4
36
19
9
0
69
3
8
7
38
1
3
4
1
4
2
10
5
34
19
49
2
1
0
11
6
1
6
7
4
2
1
128

41,395.92
3,292.14
10,892.48
2,403.59
2,706.58
2,124.40
7,447.04
1,009.94
1,345.97
7,251.14
9,701.59
37,843.82
40,537.88
10,347.35
502.81
553,201.72
4,522.75
11,245.61
12,664.94
127,857.56
2,471.98
25,101.78
4,987.47
1,792.17
5,566.23
3,810.49
11,077.33
8,671.91
39,313.13
25,446.41
327,441.59
2,249.49
2,755.24
826.74
30,122.53
10,842.52
1,487.62
19,169.92
5,462.37
4,256.29
1,454.75
4,834.22
389,334.55

68,132.25
5,442.01
17,865.45
3,630.46
4,017.51
3,148.89
11,025.15
1,627.64
2,320.24
10,580.84
14,144.58
62,280.81
67,417.61
15,277.24
741.18
777,109.97
6,531.25
16,724.82
17,829.47
213,022.78
3,752.89
32,932.28
8,101.97
2,756.24
9,171.45
6,450.39
18,923.88
13,962.84
65,005.33
43,301.83
499,434.53
4,108.83
4,091.08
1,388.61
46,206.47
16,233.59
2,184.46
27,085.14
9,825.48
6,303.56
2,140.38
7,740.82
600,278.05

-41,395.92
2,079.62
1,391.16
564.33
6,676.69
5,950.46
-2,273.50
904.76
936.83
2,369.64
-574.42
-19,537.49
-3,779.96
-3,464.14
-76.38
-89,298.98
2,774.44
-4,271.35
6,020.54
23,823.15
422.95
-15,933.98
2,289.03
-37.36
1,104.52
6,280.71
7,549.25
9,345.18
36,659.28
-6,082.33
18,358.68
2,593.51
2,742.04
617.31
-450.11
-3,916.62
4,519.55
-4,839.66
320.62
1,322.70
-13.82
9,552.99
23,539.80

-68,132.25
-70.25
-5,581.81
-662.54
5,365.76
4,925.97
-5,851.61
287.06
-37.44
-960.06
-5,017.41
-43,974.48
-30,659.69
-8,394.03
-314.75
-313,207.23
765.94
-9,750.56
856.01
-61,342.07
-857.96
-23,764.48
-825.47
-1,001.43
-2,500.70
3,640.81
-297.30
4,054.25
10,967.08
-23,937.75
-153,634.26
734.17
1,406.20
55.44
-16,534.05
-9,307.69
3,822.71
-12,754.88
-4,042.49
-724.57
-699.45
6,646.39
-187,403.70

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## [Solved] HIMS 650 FINAL EXAMS Fall 2015 SOLUTIONS USE AS A GUIDE ONLY

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Your Answer to Q1: B. Your Answer to Q2 There is no difference in length of stay for the 4 different causes of readmissions with (F=2.69, p=.377) ...

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