20180318145025new_doc_2018_03_18_09.25.42 20180318145010p09_66_wk4files.xlsx
Part I
Healthcare administration leaders are asked to make evidence-based decisions on a daily basis. Sometimes, these decisions involve high levels of uncertainty, as you have examined previously. Other times, there are data upon which evidence-based analysis might be conducted.
This week, you will be asked to think of scenarios where building and interpreting confidence intervals (CIs) would be useful for healthcare administration leaders to conduct a two-sided hypothesis test using fictitious data.
For example, Ralph is a healthcare administration leader who is interested in evaluating whether the mean patient satisfaction scores for his hospital are significantly different from 87 at the .05 level. He gathers a sample of 100 observations and finds that the sample mean is 83 and the standard deviation is 5. Using a t-distribution, he generates a two-sided confidence interval (CI) of 83 +/- 1.984217 *5/sqrt(100). The 95% CI is then (82.007, 83.992). If repeated intervals were conducted identically, 95% should contain the population mean. The two-sided hypothesis test can be formulated and tested just with this interval. Ho: Mu = 87, Ha: Mu<>87. Alpha = .05. If he assumes normality and that population standard deviation is unknown, he selects the t-distribution. After constructing a 95% CI, he notes that 87 is not in the interval, so he can reject the null hypothesis that the mean satisfaction rates are 87. In fact, he has an evidence-based analysis to suggest that the mean satisfaction rates are not equal to (less than) 87.
Review the resources and consider how a CI might be used to support hypothesis testing in a healthcare scenario.
Describe of a healthcare scenario where a CI might be used, and then complete a fictitious two-sided hypothesis test using a CI and fictitious data.
PART II
Confidence intervals (CIs) and hypothesis tests assist healthcare administration leaders in executing decision making for a wide variety of conditions or experiences in a health services organization. Interpreting the significance of the information provided in hypothesis testing can ensure that healthcare administration leaders execute the best and appropriate measures possible to ensure effective healthcare delivery.
For this Assignment, review the resources for this week. Then, review your course text, and complete Problem 66 on page 455 and Case Study 9.4 on pages 459–460. Consider the type of analysis tools you may use to best fit the case study provided.
The Assignment: (3–5 pages)
- Complete Problem 66 on page 455 of your course text using SPSS.
- Complete Case Study 9.4, “Removing Vioxx From the Market,” on pages 459–460 of your course text.
- This case study requires only calculations and analysis of them, so you may complete this case study using any tool you choose. ATTACH ALL FILES
Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making(5th ed.). Stamford, CT: Cengage Learning.
- Chapter 8, “Confidence Interval Estimation” (pp. 335–400)
- Chapter 9, “Hypothesis Testing” (pp. 401–459)
Fulton, L. V., Ivanitskaya, L. V., Bastian, N. D., Erofeev, D. A., & Mendez, F. A. (2013). Frequent deadlines: Evaluating the effect of learner control on healthcare executives’ performance in online learning. Learning and Instruction, 23, 24–32.
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>Data
0
Yes Yes Yes 7
5
Yes Yes 3
3
Yes Yes Yes Yes 3
Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 222 Yes Yes Yes Yes Yes 194 Yes Yes Yes Yes Yes Yes 183 Yes Yes 204 Yes Yes 187 Yes 204 Yes 174 Yes Yes Yes Yes 222 Yes 174 Yes 196 Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 184 Yes 207 Yes Yes 174 Yes 187 Yes Yes 174 No No 178 No 200 No No 201 No 180 No 205 No No No No No 187 No No 209 No 218 No 208 No No 211 No No No 192 No No No 210 No No 213 No 200 No 177 No 201 No No 204 No No 186 No 200 No 210 No 206 No 211 No No No 172 No 195 No 175 No 179 No 195 No No 178 No 184 No No 204 No 234 No 188 No 185 No 174 No 207 No 193 No 192 No 217 No 194 No 197 No No 204 No 183 No 161 No No 165 No 196 No 210 No 199 No 205 No 185 No 173 No 182 No 176 No 195 No 238 No 227 No 163 No 226 No 191 No 237 No 173 No 170 No 204 No 176 No 190 No 213 No 192 No 213 No 182 No 180 No 186 No 180 No 248 No 182 No 190 No 187 No 191 No 162 No 195 No 209 No 175 No 212 No 217 No 176 No 200 No 215 No 229 No 197 No 186 No 200 No 165 No 235 No 210 No 188 No 172 No 171 No 194 No 174 No 178 No 194 No 231 No 177 No 209 No 189 No 175 No 191 No 217 No 211 No 200 No 178 No 228 This is fictitious data.
Employee
Exercise
Cholesterol
1
Yes
1
7
6
2 Yes
20
3
1
9
8
4
204
5
19
6 Yes
18
7 Yes
200
8 Yes
2
11
9 Yes
206
10
2
13
11 Yes
1
87
12
22
13 Yes
17
14
1
94
15
1
75
16
1
79
17 Yes
194
18 Yes
1
63
19 Yes
1
77
20 Yes
1
83
21
26
22 Yes 204
23
1
65
24
187
25
1
84
26 Yes
1
74
27
207
28
1
91
29
191
30
222
31
1
93
32
1
96
33
34
183
35
165
36
174
37
209
38
39
213
40
179
41
175
42
1
58
43
196
44
45
1
82
46
47
184
48
49
50
51
1
86
52
1
92
53
1
71
54
55
56
57
193
58 Yes 183
59
236
60
201
61
232
62
1
66
63 Yes
1
64
64 Yes 207
65 Yes
166
66 Yes
208
67
205
68
215
69
1
90
70
1
78
71 Yes
192
72
234
73
218
74 Yes
249
75 Yes
1
80
76
161
77 Yes
180
78 Yes 184
79 Yes 180
80 Yes 166
81
82 Yes
167
83 Yes
163
84 Yes
172
85
86 Yes 193
87 Yes
211
88
177
89
90 Yes
178
91 Yes
214
92 Yes
182
93 Yes
1
95
94 Yes
202
95 Yes
1
97
96 Yes
186
97 Yes
162
98
99
185
100
190
101
No
102
223
103
104
105
197
106
107
108
109
230
110
169
111
256
112
210
113
114
212
115
116
117
118
181
119
120
231
121
188
122
123
164
124
195
125
126
176
127
128
129
130
131
199
132
133
198
134
135
136
137
138
139
189
140
217
141
142
143
144
145
146
235
147
148
149
225
150
151
152
153
154
155
156
157
158
159
160
161 No 217
162 No 184
163 No 196
164 No
216
165 No 192
166 No 180
167 No 195
168
226
169 No 218
170
171
172 No 157
173
174 No 189
175 No 164
176 No 171
177 No 189
178 No 216
179 No 168
180 No 177
181 No 212
182 No 198
183 No 216
184 No 183
185 No 179
186 No 160
187 No 200
188 No 187
189 No 200
190 No 208
191 No 202
192 No 191
193 No 208
194 No 192
195 No 190
196 No 196
197 No 175
198 No
224
199 No 178
200 No 200
201 No 197
202 No 201
203
233
204 No 205
205 No 231
206 No 169
207 No 193
208 No 183
209 No 198
210 No 184
211 No 181
212 No 187
213 No
240
214 No 208
215 No 159
216 No 191
217 No 188
218 No 192
219
220
221
222 No 224
223 No 214
224 No 200
225 No 177
226 No 201
227
228
229
230 No 169
231 No 187
232 No 211
233 No 206
234 No 212
235 No 189
236 No 218
237
238
239
240 No 232
241
242
243
244
245
246
247
248
249 No 166
250
251
252
253
254
255
256 No 181
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
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