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…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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15 Prob3: (20%): ANSWER IN YOUR HAND WRITTEN WORK Given the following histogram of a 7x7 3-bit gray-level image: 14 12 10 8 2 3 4 Graylevel 0 1 7 а. Calculate the intensity distribution of the image, pr(rk) and calculate the histogram equalization Transfer function, T(r) by filling out the following table. pr(rk) T(rk) (for next question) Tk nk b. Draw the histogram equalization Transfer function T(r). с. Calculate the intensity distribution of the output, ps(Sk) by filling out the following table. Sk nk p3(sk) PixelCount
3. The month wise rainfall data (in mm) of the following two stations are given below. Station A Station В J – 0 J F – 1.2 F М— 0.5 M - 0.3 A – 0.1 A - 0 M 5.0 M 2 J 30 J 10 J - 100 J - 30 A – 250 A 80 S - 240 S 100 О — 50 - 50 N – 11 N - 50 D – 5 D – 2.5 Based on the measures of dispersion, which of these two stations do you think have highest degree of consistency?
A factory produces two types of tyres. In an experiment in the working life of these tyres the following results were obtained Length of life(00's hrs) Tyre: A B 15-17 50 40 17-19 110 300 State which type of tyre is more stable? 19-21 260 120 21-23 100 80 23-25 80 60
4.15 A study of the lifetime (in hours) for a certain brand of light bulb involved putting 10 light bulbs into operation and observing them for 1000 hours. Eight of the light bulbs failed during that period, and those lifetimes were recorded. The lifetimes of the two light bulbs still functioning after 1000 hours were recorded as 1000+. The resulting sample observations were 480 790 1000+ 350 920 860 570 1000+ 170 290 4.16 a S th b SECTION 4.2 Describing Variability in a Dat Reporting a measure of center gives on important to describe how much the obs ferent samples displayed in Figure 4.7 a variability in the first sample compared to variability than the first and more variabi
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A researcher designs an experiment using two drugs, she prepares 15 independent flasksof yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below: Flask T Flask C Flask ND 1 8.2 6 5.2 11 6 2 6.8 7 6.1 12 5.1 3 8 8 6.2 13 5.6 4 7.6 9 5.7 14 5.2 5 7.9 10 6.3 15 6.1 Test if mean doubling time is different than others in at least one growth condition (ND, T or C), using a non-parametric method and report an approximate p-value for the level of significance. What is the hypotheses and the assumptions of this test?
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Part D
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The table below summarizes a data set we first encountered in Exercise 6.29 that examines the responses of a random sample of college graduates and nongraduates on the topic of oil drilling. Complete a chi-square test for these data to check whether there is a statistically significant difference in responses from college graduates and non-graduates. χ2:? df:? Conclusion: There is insufficient evidence that there is an association between support for off-shore drilling and having a college degree There is strong evidence that the proportion of those supporting off-shore drilling is greater than those having a college degree There is insufficient evidence that the proportion of those supporting off-shore drilling is greater than those having a college degree There is strong evidence that there is an association between support for off-shore drilling and having a college degree
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A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below: Flask T Flask C Flask ND 1 8.2 6 5.2 11 6 2 6.8 7 6.1 12 5.1 3 8 8 6.2 13 5.6 4 7.6 9 5.7 14 5.2 5 7.9 10 6.3 15 6.1 a. Test if mean doubling time is different in Caffeine (C ) when compared to no drug (ND) using an ANOVA method, report an approximate p-value for the level of significance. b. If a drug decreases the doubling time of yeast cells, what could be the purpose of using this drug?

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