An article in the IEEE Transactions on Electron Devices (November 1986, p. 1974) describes a study on the effects of two variables-polysilicon doping and anneal conditions (time and temperature) - on the base current of a bipolar transistor. The data are as shown inthe following table:Anneal (temperature/time)Polysilicon Doping900/60900/180950/601000/151000/3014.40 4.60 8.308.9010.1510.20 10.29 10.30 11.01 10.583.20 3.50 7.81 7.75 9.38 10.02 10.19 10.10 10.81 10.602(a) Is there any evidence to support the claim that either polysilicon doping level or anneal conditions affect base current? Do thesevariables interact? Use a = 0.05. Round your answers to two decimal places (e.g. 98.76).Test Polysilicon Doping:Calculate FoiTest Anneal Conditions:Calculate FoTest Doping"Anneal:Calculate FoiWhich of the factors and/or interactions are significant? (Click "yes" if significant at a = 0.05 otherwise click "no")Polysilicon DopingAnneal ConditionsDoping"Anneal(b) Analyze the following residual plots to determine model adequacy.Based on the plot below, does the assumption of normality appear reasonable?Based on the plot below, does the assumption of constant variance appear reasonable?>

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Answered: An article in the IEEE Transactions on…

Trigonometry (MindTap Course List)

10th Edition

ISBN:9781337278461

Author:Ron Larson

Publisher:Ron Larson

Chapter6: Topics In Analytic Geometry

Section6.4: Hyperbolas

Problem 5ECP: Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.

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Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
The output of a solar panel (photovoltaic) system depends on its size. A manufacturer states that the average daily production of its 1.5 kW system is 6.6 kilowatt hours (kWh) for Perth conditions. A consumer group monitored this 1.5 kW system in 20 different Perth homes and measured the average daily production by the systems in these homes over a one month period during October. The data is provided here. kWh 6.2, 5.8, 5.9, 6.1, 6.4, 6.3, 6.9, 5.5, 7.4, 6.7, 6.3, 6.2, 7.1, 6.8, 5.9, 5.4, 7.2, 6.7, 5.8, 6.9 1. Analyse the consumer group’s data to test if the manufacturer’s claim of an average of 6.6 kWh per day is reasonable. State appropriate hypotheses, assumptions and decision rule at α = 0.10. What conclusions would you report to the consumer group? (Hint: You will need to find Descriptive Statistics first.) 2. If 48 homes in the central Australian city of Alice Springs had this system installed and similar data was collected, in order to assess whether average daily production in…
In an article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 986-990), researchers reported on a study of the effects of reducing current draw in a magnetic core by electronic means. They measured the current in a magnetic winding with and without the electronics in a paired experiment. Data for the case without electronics are provided in the Table. Current Without Electronics (mA) Supply Voltage 0.66 7.32 1.32 12.22 1.98 16.34 2.64 23.66 3.3 28.06 3.96 33.39 4.62 34.12 3.28 39.21 5.94 44.21 6.6 47.48 (a) Fit a regression line to predict current without electronics to supply voltage. Is there a significant regression at a = 0.05? What is the P-value? (b) Estimate the correlation coefficient. (c) Test the hypothesis that p = 0 against the alternative p=0 with a = 0.05. What is the P-value?
In an article in IEEE Transactions on Instrumentation and Measurement (2001, Vol. 50, pp. 986-990), researchers reported on a study of the effects of reducing current draw in a magnetic core by electronic means. They measured the current in a magnetic winding with and without the electronics in a paired experiment. Data for the case without electronics are provided in the Table. Current Without Electronics (mA) Supply Voltage 0.66 7.32 1.32 12.22 1.98 16.34 2.64 23.66 3.3 28.06 3.96 33.39 4.62 34.12 3.28 39.21 5.94 44.21 6.6 47.48 (a) Estimate the correlation coefficient. (b) Test the hypothesis that p = 0 against the alternative p=0 with a = 0.05. What is the P-value? (c) Compute a 95% confidence interval for the correlation coefficient.
The article refered to in Exercise 1 also considered the effect of gypsum on the electric conductivity (in dS m) of soil. Two types of soil were each treated with three different amounts of gypsum, with two replicates for each soil-gypsum combination. The data are presented in the following table. Soil Type Gypsum (g/kg) Las Animas Madera 0.00 1.52 1.05 1.01 0.92 0.27 1.49 0.91 1.12 0.92 0.46 0.9 0.92 0.88 0.92 Is there convincing evidence of an interaction between the amount of gypsum and soil type? Can you conclude that the conductivity differs among the soil types? Can you conclude that the conductivity differs with the amount of gypsum added? C.
The output of a solar panel (photovoltaic) system depends on its size. A manufacturer states that the average daily production of its 1.5 kW system is 6.6 kilowatt hours (kWh) for Perth conditions. A consumer group monitored this 1.5 kW system in 20 different Perth homes and measured the average daily production by the systems in these homes over a one month period during October. The data is provided here. (a) Analyse the consumer group’s data to test if the manufacturer’s claim of an average of 6.6 kWh per day is reasonable. State appropriate hypotheses, assumptions and decision rule at α = 0.10. What conclusions would you report to the consumer group? Hint: You will need to find Descriptive Statistics first.) (b) If 48 homes in the central Australian city of Alice Springs had this system installed and similar data wascollected, in order to assess whether average daily production in Alice Springs exceeded 6.6 kWh, (i) what would the alternate hypothesis be? (ii) What would be the…
Data from the US Department of Energy’s US Energy Information Administration (eia.doe.gov) provides a look at the energy-related carbon dioxide emissions by end use sector (residential, commercial, industrial, transportation) from years 1990 to 2009. (Report # DOE/EIA0573(2009)). Here we would like to see if the CO2 emissions from the Industrial sector are less than that from the Transportation sector. Below are the results: 14. What type of study is this? a. Paired b. Two-Sample Independent 15. What type of plot would we use? a. Histogram of the differences b. Side-by-side boxplots c. Pie chart d. Bar graph 16. Was the HOV/pooled test used above (hint: look at the df)? YES NO 17. Is there evidence that the CO2 emissions from the Industrial sector are less than that from the Transportation sector? YES NO 18. If we were to test to see if there was a difference between the CO2 emissions from the Industrial sector and the Transportation sector, what would be the p-value? (report to 3…
The article "Mathematical Modeling of the Argon-Oxygen Decarburization Refining Process of Stainless Steel: Part II. Application of the Model to Industrial Practice" (J. Wei and D. Zhu, Metallurgical and Materials Transactions B, 2001:212-217) presents the carbon content (in mass %) and bath temperature (in K) for 32 heats of austenitic stainless steel. These data are shown in the following table. Carbon % Temp. 1975 19 23 1947 22 1954 16 1992 17 1965 18 1971 12 2046 24 1945 17 1984 20 1991
In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes at 34 kV. The times, in minutes, are as follows: 0.19, 0.78, 0.96, 1.31, 2.78, 3.16, 4.15, 4.67, 4.85, 6.50, 7.35, 8.01, 8.27, 12.06, 31.75, 32.52, 33.91, 36.71, and 72.89. Calculate the sample mean and sample standard deviation.
In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes at 34 kV. The times, in minutes, are as follows: 0.28, 0.88, 0.97, 1.29, 2.65, 3.16, 4.14, 4.80, 4.88, 6.37,7.22,7.95, 8.33, 11.98, 31.84, 32.41, 33.97, 36.84, and 72.75. Construct a normal probability plot of these data. Does it seem reasonable to assume that breakdown time is normally distributed? Choose the correct answer. O Yes, breakdown time is normally distributed. O No, breakdown time is not normally distributed.
(b) The following data in Table Q6(b) are the numbers of cycles to failure of aluminum test coupons subjected to repeated alternating stress at 10,000 psi, 10 cycles per second. Table Q6(b): Number of cycles to failure of aluminum test 373 254 237 243 | 308 | 210 239 114 224 373 286 198 361 416 207 189 344 268 150 | 300 207 314 197 253 201 266 284 247 273 160 | 360 | 311 165 | 240 260 327 406 266 329 236 243 326 251 215 363 21 270 48 209 210 (i) Find the value of mean, standard deviation and variance. (ii) Based on the data in Table Q6(b), construct a histogram using 12 classes. (iii) Decsribe the shape of the histogram.
An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The resulting compressive strength of the concrete specimen is the response. The data are shown in the following table. Compressive Strength (psi) Rodding Level Observations 10 1530 1530 1440 15 1610 1650 1500 20 1560 1730 1530 25 1500 1490 1510 Calculate the test statistic fo- Input answer up to 2 decimal places. Test Statisticf = Blank 1

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