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
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
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
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
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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