An article in Computers & Electrical Engineering ("Parallel Simulation of Cellular Neural Networks" (1996, Vol. 22, pp. 61-84)) considered the speed-up of cellular neural networks (CNN) for a parallel general-purpose computing architecture based on six transputers in different areas. The data follow: 3.775302 3.350679 4.217981 4.030324 4.639692 4.139665 4.395575 4.824257 4.268119 4.584193 4.930027 4.315973 4.600101 Construct a 95% two-sided confidence interval on the mean speed-up. Blank 1

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Final answers should be up to 4 decimal places only. For even smaller numbers, round off to the nearest non-zero digit.

An article in Computers & Electrical Engineering ("Parallel Simulation of Cellular Neural Networks" (1996, Vol. 22, pp. 61-84))
considered the speed-up of cellular neural networks (CNN) for a parallel general-purpose computing architecture based on six
transputers in different areas. The data follow:
3.775302 3.350679 4.217981 4.030324 4.639692 4.139665 4.395575 4.824257 4.268119 4.584193
4.930027 4.315973 4.600101
Construct a 95% two-sided confidence interval on the mean speed-up.
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Transcribed Image Text:An article in Computers & Electrical Engineering ("Parallel Simulation of Cellular Neural Networks" (1996, Vol. 22, pp. 61-84)) considered the speed-up of cellular neural networks (CNN) for a parallel general-purpose computing architecture based on six transputers in different areas. The data follow: 3.775302 3.350679 4.217981 4.030324 4.639692 4.139665 4.395575 4.824257 4.268119 4.584193 4.930027 4.315973 4.600101 Construct a 95% two-sided confidence interval on the mean speed-up. Blank 1<µ < Blank 2 Blank 1 Add your answer Blank 2 Add your answer
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