Refer to the asphalt data in Example 1.12 (page 18).a.

Statistics for Engineers and Scientists | 4th Edition | ISBN: 9780073401331 | Authors: William Navidi

Problem 17E Chapter 1.3

Statistics for Engineers and Scientists | 4th Edition

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Statistics for Engineers and Scientists | 4th Edition | ISBN: 9780073401331 | Authors: William Navidi

Statistics for Engineers and Scientists | 4th Edition

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Problem 17E

Refer to the asphalt data in Example 1.12 (page 18).

a. Construct a boxplot for the asphalt data.

b. Which values, if any, are outliers?

c. Construct a dotplot for the asphalt data.

d. For purposes of constructing boxplots, an outlier is defined to be a point whose distance from the nearest quartile is more than 1.5 IQR. A more general, and less precise, definition is that in outlier is any point that is detached from the bulk of the data. Are there any points in the asphalt data set that are outliers under this more general definition, but not under the boxplot definition? If so, which are they?

Step-by-Step Solution:

Answer:

Step 1 of 5:

           The given values of fracture stress (in megapascals) were measured for a sample of 24 mixtures of hot-mixed asphalt (HMA). The values are tabulated below.

                     

30

75

79

80

80

105

126

138

149

179

179

191

223

232

232

236

240

242

245

247

254

274

384

470

   

Step 2 of 2

Chapter 1.3, Problem 17E is Solved
Textbook: Statistics for Engineers and Scientists
Edition: 4th
Author: William Navidi
ISBN: 9780073401331

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Refer to the asphalt data in Example 1.12 (page 18).a.

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