8.1.13 WP GO Tutorial An article in the Journal of Agricultural Science ["The Use of Residual Maximum Likelihood to Model Grain Quality Characteristics of Wheat with Variety, Climatic and Nitrogen Fertilizer Effects" (1997, Vol. 128, pp. 135–142)] investigated means of wheat grain crude protein content (CP) and Hagberg falling number (HFN) surveyed in the United Kingdom. The analysis used a variety of nitrogen fertilizer applications (kg N/ha), temperature (°C), and total monthly rainfall (mm). The following data below describe temperatures for wheat grown at Harper Adams Agricultural College between 1982 and 1993. The temperatures measured in June were obtained as follows: 15.2 14.2 14.0 12.2 14.4 12.5 14.3 14.2 13.5 11.8 15.2 Assume that the standard deviation is known to be σ = 0.5. a. Construct a 99% two-sided confidence interval on the mean temperature. b. Construct a 95% lower-confidence bound on the mean temperature. c. Suppose that you wanted to be 95% confident that the error in estimating the mean temperature is less than 2 degrees Celsius. What sample size should be used? d. Suppose that you wanted the total width of the two-sided confidence interval on mean temperature to be 1.5 degrees Celsius at 95% confidence. What sample size should be used? 8.2.10 WP SS An article in Computers & Electrical Engineer- ing ["Parallel Simulation of Cellular Neural Networks" (1996, Vol. 22, pp. 61-84)] considered the speedup of cellular neu- ral networks (CNNs) 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 4.315973 4.139665 4.395575 4.824257 4.930027 4.268119 4.584193 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.

Linear Algebra: A Modern Introduction
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Author:David Poole
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Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
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Answer questions 8.1.13 and 8.2.10 respectively 

8.1.13 WP GO Tutorial An article in the Journal of Agricultural
Science ["The Use of Residual Maximum Likelihood to Model
Grain Quality Characteristics of Wheat with Variety, Climatic
and Nitrogen Fertilizer Effects" (1997, Vol. 128, pp. 135–142)]
investigated means of wheat grain crude protein content (CP) and
Hagberg falling number (HFN) surveyed in the United Kingdom.
The analysis used a variety of nitrogen fertilizer applications (kg
N/ha), temperature (°C), and total monthly rainfall (mm). The
following data below describe temperatures for wheat grown at
Harper Adams Agricultural College between 1982 and 1993. The
temperatures measured in June were obtained as follows:
15.2
14.2
14.0
12.2
14.4
12.5
14.3
14.2
13.5
11.8
15.2
Assume that the standard deviation is known to be σ = 0.5.
a. Construct a 99% two-sided confidence interval on the
mean temperature.
b. Construct a 95% lower-confidence bound on the mean
temperature.
c. Suppose that you wanted to be 95% confident that
the error in estimating the mean temperature is less than
2 degrees Celsius. What sample size should be used?
d. Suppose that you wanted the total width of the two-sided
confidence interval on mean temperature to be 1.5 degrees
Celsius at 95% confidence. What sample size should be used?
Transcribed Image Text:8.1.13 WP GO Tutorial An article in the Journal of Agricultural Science ["The Use of Residual Maximum Likelihood to Model Grain Quality Characteristics of Wheat with Variety, Climatic and Nitrogen Fertilizer Effects" (1997, Vol. 128, pp. 135–142)] investigated means of wheat grain crude protein content (CP) and Hagberg falling number (HFN) surveyed in the United Kingdom. The analysis used a variety of nitrogen fertilizer applications (kg N/ha), temperature (°C), and total monthly rainfall (mm). The following data below describe temperatures for wheat grown at Harper Adams Agricultural College between 1982 and 1993. The temperatures measured in June were obtained as follows: 15.2 14.2 14.0 12.2 14.4 12.5 14.3 14.2 13.5 11.8 15.2 Assume that the standard deviation is known to be σ = 0.5. a. Construct a 99% two-sided confidence interval on the mean temperature. b. Construct a 95% lower-confidence bound on the mean temperature. c. Suppose that you wanted to be 95% confident that the error in estimating the mean temperature is less than 2 degrees Celsius. What sample size should be used? d. Suppose that you wanted the total width of the two-sided confidence interval on mean temperature to be 1.5 degrees Celsius at 95% confidence. What sample size should be used?
8.2.10 WP SS An article in Computers & Electrical Engineer-
ing ["Parallel Simulation of Cellular Neural Networks" (1996,
Vol. 22, pp. 61-84)] considered the speedup of cellular neu-
ral networks (CNNs) 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
4.315973
4.139665 4.395575 4.824257
4.930027
4.268119 4.584193
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.
Transcribed Image Text:8.2.10 WP SS An article in Computers & Electrical Engineer- ing ["Parallel Simulation of Cellular Neural Networks" (1996, Vol. 22, pp. 61-84)] considered the speedup of cellular neu- ral networks (CNNs) 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 4.315973 4.139665 4.395575 4.824257 4.930027 4.268119 4.584193 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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