Each of three operators made two weighings of several silicon wafers. Results are presented in the following table for three of the wafers. All the wafers had weights very close to 54 g. so the weights are reported in units of ug above 54 g. (Based on the article "Revelation of a Microbalance Warmup Effect," J. Buckner, B. Chin, et al., Statistical Case Studies for Industrial Process Improvement, SIAM-ASA, 1997:39 45.) Operator 1 Operator 2 15 10 Operator 3 14 Wafer 11 10 2 210 208 205 201 208 207 111 113 102 105 108 111 Construct an ANOVA table. You may give ranges for the P-values. b. Can it be determined from the ANOVA table whether there is a difference in the measured weights among the operators? If so, provide the value of the test statistic and the P-value. If not, explain why not. 3.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
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Chapter11: Data Analysis And Probability
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Each of three operators made two weighings of several silicon wafers. Results are presented
in the following table for three of the wafers. All the wafers had weights very close to 54 g.
so the weights are reported in units of ug above 54 g. (Based on the article "Revelation of a
Microbalance Warmup Effect," J. Buckner, B. Chin, et al., Statistical Case Studies for
Industrial Process Improvement, SIAM-ASA, 1997:39 45.)
Operator 1
Operator 2
15
10
Operator 3
14
Wafer
11
10
2
210
208
205
201 208
207
111
113
102
105 108
111
Construct an ANOVA table. You may give ranges for the P-values.
b. Can it be determined from the ANOVA table whether there is a difference in the
measured weights among the operators? If so, provide the value of the test statistic and
the P-value. If not, explain why not.
3.
Transcribed Image Text:Each of three operators made two weighings of several silicon wafers. Results are presented in the following table for three of the wafers. All the wafers had weights very close to 54 g. so the weights are reported in units of ug above 54 g. (Based on the article "Revelation of a Microbalance Warmup Effect," J. Buckner, B. Chin, et al., Statistical Case Studies for Industrial Process Improvement, SIAM-ASA, 1997:39 45.) Operator 1 Operator 2 15 10 Operator 3 14 Wafer 11 10 2 210 208 205 201 208 207 111 113 102 105 108 111 Construct an ANOVA table. You may give ranges for the P-values. b. Can it be determined from the ANOVA table whether there is a difference in the measured weights among the operators? If so, provide the value of the test statistic and the P-value. If not, explain why not. 3.
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