An article in Computers & Electrical Engineering considered the speedup of cellular neural networks (CNN) for a parallel general-purpose computing architecture based on six transputers in different areas. The data are as follows: 3.7753 3.3506 4.2179 4.0303 4.6396 4.1396 4.3955 4.8242 4.2681 4.5841 4.9300 4.3159 4.6001 Construct a 95% two-sided confidence interval on the variance speedup. a. Upper Variance Speedup b. Lower Variance Speedup

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An article in Computers & Electrical Engineering considered the speedup
of cellular neural networks (CNN) for a parallel general-purpose
computing architecture based on six transputers in different areas. The
data are as follows:
3.7753 3.3506 4.2179 4.0303 4.6396 4.1396 4.3955
4.8242 4.2681 4.5841 4.9300 4.3159 4.6001
Construct a 95% two-sided confidence interval on the variance speedup.
a. Upper Variance Speedup
b. Lower Variance Speedup
Transcribed Image Text:An article in Computers & Electrical Engineering considered the speedup of cellular neural networks (CNN) for a parallel general-purpose computing architecture based on six transputers in different areas. The data are as follows: 3.7753 3.3506 4.2179 4.0303 4.6396 4.1396 4.3955 4.8242 4.2681 4.5841 4.9300 4.3159 4.6001 Construct a 95% two-sided confidence interval on the variance speedup. a. Upper Variance Speedup b. Lower Variance Speedup
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