Question

In: Statistics and Probability

You are a public health nurse that is interested in comparing the total blood cholesterol levels...

You are a public health nurse that is interested in comparing the total blood cholesterol levels in clients from different census tracts in the city that are enrolled in a community-based lifestyle program offer by the Public Health Department. Previous research has shown that cholesterol levels are generally normally distributed, and you have no reason to believe that the variances in cholesterol levels would differ across census tracts. The table below provides the data that you collected on cholesterol levels in clients enrolled in your program from four census tracts in the city. Assuming a 0.05 level of significance, can you conclude that cholesterol levels differ across the census tracts? If there is a difference, which census tracts differ from the others?

Area A

Area B

Area C

Area D

96

120

138

101

126

122

139

104

166

128

140

104

168

131

140

107

173

132

141

108

178

147

159

122

190

148

166

125

194

149

172

136

195

151

176

139

198

160

180

149

212

160

182

160

212

162

185

162

213

164

188

162

215

165

188

168

216

174

192

171

227

184

194

173

185

194

174

188

200

175

192

202

180

194

203

182

197

206

182

198

210

184

201

215

184

221

220

190

224

222

191

230

224

192

242

230

193

250

231

194

251

232

195

233

200

237

206

243

207

245

207

263

209

274

210

294

212

307

215

327

221

224

227

229

231

239

241

248

262

317

Solutions

Expert Solution

Here we have to test,

H0 : All census tracts are insignificant.

Vs H1 : At least one census tract differ significantly.

I had done this using MINITAB as follows -

stat - one way ANOVA as follows -

It opens the following window

Then click on option & click on appropriate as follows

To check which census track differ from other I had done Tuckey's test for that go in comparison as follows-

It gives output as follows-

From above output of ANOVA table we observe that P-value is 0.295 > l.o.s(0.05) . Thus, we accept H0 indicating there is no significant difference in census tracts.

Also from Tuckey's confidence interval

We observe that all confidence interval includes 0 . Thus , we accept H0 indicating that All census tract are insignificant. i.e. no census tracts differ significantly from other.


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