DDHA 8800 Confidence Intervals in Healthcare Administration

DDHA 8800 Confidence Intervals in Healthcare Administration

DDHA 8800 Confidence Intervals in Healthcare Administration

Discussion: Confidence Intervals in Healthcare Administration

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.

For this Discussion, review the resources for this week, and consider  how a CI might be used to support hypothesis testing in a healthcare  scenario.

By Day 3

Post a description 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.

Albright,  S. C., & Winston, W. L. (2017). Business analytics: Data analysis and  decision making (6th ed.). Stamford, CT: Cengage Learning.
Chapter 8, “Confidence Interval Estimation”
Chapter 9, “Hypothesis Testing”
 

Confidence Intervals and Hypothesis Testing in Medical Scenarios

For this Assignment, review the resources for this week. Then, review your course text, and complete Problem 66 on page 410 and Case Study 9.3 on pages 412-413. Consider the type of analysis tools you may use to best fit the case study provided.

For Chapter 9, problem 66, you will need to download the file P09_66.xlsx from the textbook companion website http://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781305947542. Under “Book Resources”, click on “Student Downloads” to view the downloadable files. Click “Problem Files” and download the zipped file 1305947541_538885.zip. Open the zipped file, and select folder “Problem Files” and then select folder “Chapter 09” to access the file P09_66.xlsx.

 

  • Complete Problem 66 on page 410 of your course text using SPSS.
  • Complete Case Study 9.3, “Removing Vioxx From the Market,” on pages 412-413 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.

Data

Employee Exercise Cholesterol
1 Yes 176
2 Yes 200
3 Yes 198
4 Yes 204
5 Yes 197
6 Yes 185
7 Yes 200
8 Yes 211
9 Yes 206
10 Yes 213
11 Yes 187
12 Yes 223
13 Yes 173
14 Yes 194
15 Yes 175
16 Yes 179
17 Yes 194
18 Yes 163
19 Yes 177
20 Yes 183
21 Yes 263
22 Yes 204
23 Yes 165
24 Yes 187
25 Yes 184
26 Yes 174
27 Yes 207
28 Yes 191
29 Yes 191
30 Yes 222
31 Yes 193
32 Yes 196
33 Yes 222
34 Yes 183
35 Yes 165
36 Yes 174
37 Yes 209
38 Yes 194
39 Yes 213
40 Yes 179
41 Yes 175
42 Yes 158
43 Yes 196
44 Yes 183
45 Yes 182
46 Yes 204
47 Yes 184
48 Yes 187
49 Yes 204
50 Yes 174
51 Yes 186
52 Yes 192
53 Yes 171
54 Yes 222
55 Yes 174
56 Yes 196
57 Yes 193
58 Yes 183
59 Yes 236
60 Yes 201
61 Yes 232
62 Yes 166
63 Yes 164
64 Yes 207
65 Yes 166
66 Yes 208
67 Yes 205
68 Yes 215
69 Yes 190
70 Yes 178
71 Yes 192
72 Yes 234
73 Yes 218
74 Yes 249
75 Yes 180
76 Yes 161
77 Yes 180
78 Yes 184
79 Yes 180
80 Yes 166
81 Yes 184
82 Yes 167
83 Yes 163
84 Yes 172
85 Yes 207
86 Yes 193
87 Yes 211
88 Yes 177
89 Yes 174
90 Yes 178
91 Yes 214
92 Yes 182
93 Yes 195
94 Yes 202
95 Yes 197
96 Yes 186
97 Yes 162
98 Yes 187
99 Yes 185
100 Yes 190
101 No 174
102 No 223
103 No 178
104 No 200
105 No 197
106 No 201
107 No 180
108 No 205
109 No 230
110 No 169
111 No 256
112 No 210
113 No 187
114 No 212
115 No 209
116 No 218
117 No 208
118 No 181
119 No 211
120 No 231
121 No 188
122 No 192
123 No 164
124 No 195
125 No 210
126 No 176
127 No 213
128 No 200
129 No 177
130 No 201
131 No 199
132 No 204
133 No 198
134 No 186
135 No 200
136 No 210
137 No 206
138 No 211
139 No 189
140 No 217
141 No 172
142 No 195
143 No 175
144 No 179
145 No 195
146 No 235
147 No 178
148 No 184
149 No 225
150 No 204
151 No 234
152 No 188
153 No 185
154 No 174
155 No 207
156 No 193
157 No 192
158 No 217
159 No 194
160 No 197
161 No 217
162 No 184
163 No 196
164 No 216
165 No 192
166 No 180
167 No 195
168 No 226
169 No 218
170 No 204
171 No 183
172 No 157
173 No 161
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 No 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 No 165
220 No 196
221 No 210
222 No 224
223 No 214
224 No 200
225 No 177
226 No 201
227 No 199
228 No 205
229 No 185
230 No 169
231 No 187
232 No 211
233 No 206
234 No 212
235 No 189
236 No 218
237 No 173
238 No 182
239 No 176
240 No 232
241 No 195
242 No 238
243 No 227
244 No 163
245 No 226
246 No 191
247 No 237
248 No 173
249 No 166
250 No 170
251 No 204
252 No 176
253 No 190
254 No 213
255 No 192
256 No 181
257 No 213
258 No 182
259 No 180
260 No 186
261 No 180
262 No 248
263 No 182
264 No 190
265 No 187
266 No 191
267 No 162
268 No 195
269 No 209
270 No 175
271 No 212
272 No 217
273 No 176
274 No 200
275 No 215
276 No 229
277 No 197
278 No 186
279 No 200
280 No 165
281 No 235
282 No 210
283 No 188
284 No 172
285 No 171
286 No 194
287 No 174
288 No 178
289 No 194
290 No 231
291 No 177
292 No 209
293 No 189
294 No 175
295 No 191
296 No 217
297 No 211
298 No 200
299 No 178
300 No 228

This is fictitious data.

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