An article in Computers & Electrical Engineering

Chapter 8, Problem 41E

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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.

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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.

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