Question

In: Math

A researcher would like to find out whether a man's nickname affects his cholesterol reading (though...

A researcher would like to find out whether a man's nickname affects his cholesterol reading (though it is not clear why she believes it should). She records the cholesterol readings of 10 men nicknamed Sam, 10 men nicknamed Lou and 10 men nicknamed Mac; her data appears in the table. She wants to know whether there is a difference in cholesterol levels in men with these 3 nicknames. Present all appropriate statistical test need to determine if a difference exists. Provide all your proofs. The data have been tested and are considered normally distributed.

Sam

Lou

Mac

364

260

156

245

204

438

284

221

272

172

285

345

198

308

198

239

262

137

259

196

166

188

299

236

256

316

168

263

216

269

Solutions

Expert Solution

ANSWER:

Given that,

Since we are testing the equality of more than 2 means, we use the ANOVA F- test.

The table below gives the data which has been calculated from the given figures

Sam Lou Mac
Mean 246.8 256.7 238.5
Variance 3012.622 2018.9 9130.7222
SD 54.887 44.932 95.555

The Hypothesis:

H0: There is no difference between the means of the cholesterol level for the men with these 3 names.

Ha: There is a difference between the mean cholesterol level for the men with these names.

The ANOVA table is as below. the p value is calculated for F = 0.176 for df1 (column-1) = 3-1 = 2 and df2 (total observations - # of columns) = 30 - 3 = 27

The F-critical is calculated at = 0.05(default) for df1 = 2 and df2 = 27

Source Sum of sq DF Mean Square F Fcv p
Between 1660.47 2 830.23 0.176 3.354 0.8396
Within 127456.60 27 4720.61
Total 129117.07 29

The F- stat = 0.176

The Decision Rule:

If F-test is > F critical, Then Reject H0.

Also if p-value is < , Then reject H0.

The Decision:

Since F-test (0.176) is < F critical (3.354), We Fail to Reject H0.

Also since p-value (0.8396) is > (0.05), We Fail to reject H0.

The Conclusion:

There is insufficient evidence at the 95% level of significance to conclude that there is a difference between the mean cholesterol level of the mean with these names.


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