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An article in Computers & Electrical Engineering
Chapter 8, Problem 41E(choose chapter or problem)
An article in Computers & Electrical Engineering [“Parallel Simulation of Cellular Neural Networks” (1996, Vol. 22, pp. 61–84)] considered the speedup 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
(a) Is there evidence to support the assumption that speedup of CNN is normally distributed? Include a graphical display in your answer.
b) Construct a 95% two-sided confidence interval on the mean speedup.
(c) Construct a 95% lower confidence bound on the mean speedup.
Questions & Answers
QUESTION:
An article in Computers & Electrical Engineering [“Parallel Simulation of Cellular Neural Networks” (1996, Vol. 22, pp. 61–84)] considered the speedup 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
(a) Is there evidence to support the assumption that speedup of CNN is normally distributed? Include a graphical display in your answer.
b) Construct a 95% two-sided confidence interval on the mean speedup.
(c) Construct a 95% lower confidence bound on the mean speedup.
ANSWER:Step 1 of 5
(a)
To check whether the speedup of CNN is normally distributed. We need to construct a normal probability plot. If the points in the probability plot form a line or lie closer to the line drawn approximately between the 25th and 75th percentile points, then we can say that the data is normally distributed.