(a)We want to compare two motion sensors based upon their signal levels and movingsettings. For a universe of discourse of moving settings, M = {0, 20, 40, 60, 80, 100),the actuator signal levels for the controlling of a standard item provides typicalmembership functions to represent the signal levels for each of the motion sensors;these are given below in standard discrete form:(0 0.5 0.65 0.85 1.0++ +20 40 60 80(i)(ii)(iii)(iv)5₁ = { +$₂=μ 5₁ (x)μ S₂ (x)1.0)100)Solve the following membership functions using standard fuzzy operations:μ S₁ U S₂(x)μS₁ S₂(x)0.45 0.6 0.8 0.95 1.0)+ + ++20 40 60 80 100) 8(vi)μ S₁ U S₂(x)μS, n 5₂(x)

S1=00+0.520+0.6540+0.8560+180+1100S2=00+0.4520+0.640+0.860+0.9580+1100 Note: We are allowed to solve…

Answered: We want to compare two motion sensors…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Need help with parts d and k. Data: TSERofReturn AcmeRofReturn 1 0.42478 -0.48194 2 1.61213 -0.73284 3 -0.98754 -2.28445 4 -0.30013 -1.55312 5 1.41215 0.68674 6 0.68725 -1.31132 7 0.03733 -0.83295 8 -1.72494 -1.71975 9 0.33729 1.14443 10 -1.07502 -1.79885 11 0.86222 0.89736 12 1.17468 1.66664 13 -0.38761 -0.02658 14 1.66212 0.9086 15 1.09969 1.99935 16 -0.06266 0.46148 17 -1.96241 -1.41004 18 -1.32499 -0.38086 19 -1.51247 -1.90904 20 0.74974 0.91873 21 -0.38761 -0.49714 22 -0.17514 -1.31385 23 -3.41222 -1.15681 24 -0.01266 2.11718 25 0.16231 1.78766 26 -0.82506 1.30344 27 -0.41261 -0.43377 28 0.2623 -1.70274 29 -1.16251 0.4692 30 -1.05003 0.27671 31 -0.65008 -0.63741 32 0.62475 2.9895 33 -0.68758 1.3613 34…
A Sociologist wishes to see whether the number of years of schooling a person has is dependent on the person’s location. The information is classified as follows: Location No education Four-year degree Advanced degree Total Metropolis 15 12 8 35 Suburban 8 15 9 32 Countryside 6 8 7 21 Total 29 35 24 88 At alpha 0.05, can the Sociologist conclude that a person’s location is dependent on the number of years of schooling? Find p-value and on the basis of the p-value, should the null hypothesis be rejected?
Here are some data I found on the enzyme activity of mannose-6-phosphate isomerase (MPI) and MPI genotypes in the amphipod crustacean Platorchestia platensis. Because I didn't know whether sex also affected MPI activity, I separated the amphipods by sex. F and S stand for fast and slow respectively, and have to do with electrophoretic mobility on an agarose gel. FF, FS, and SS then reflect genotypes with FS being the heterozygote. Consider the numbers to be activity units. Analysis these data with the appropriate two-way ANOVA and state your conclusions below. Genotype Female Male FF 2.838 1.884 4.216 2.283 2.889 4.939 4.198 3.486 FS 3.55 2.396 4.556 2.956 3.087 3.105 1.943 2.649 SS 3.62 2.801 3.079 3.421 3.586 4.275 2.669 3.11 I use excel for this question
A firm produces two types of calculators each week, x of type A and y of type B. The weekly revenue and cost functions (in dollars) are as follows. R(x,y)=130x+160y+0.02xy−0.08x2−0.03y2 C(x,y)=2x+4y+30,000 Find Px(1300,1600) and Py(1300,1600), and interpret the results. Px(1300,1600)= Choose the correct interpretation of Px(1300,1600). A. When selling 1,300 units of type A and 1,600 units of type B, the profit will decrease approximately $54 per unit increase in production of type A. B. When selling 1,300 units of type A and 1,600 units of type B, the profit will decrease approximately $48 per unit increase in production of type A. C. Selling 1,300 units of type A and 1,600 units of type B will yield a profit of approximately $48. D. Selling 1,300 units of type A and 1,600 units of type B will yield a profit of approximately $54. Py(1300,1600)= Choose the correct interpretation of Py(1300,1600).…
The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f( P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…
The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f( P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…
The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f( P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…
The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f (P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC -3.54…
#21 Use technology to construct an appropriate model of the data. (0,1), (1,-2), (2,-3), (3,-2), (4,1) f(x) = x2 - 4 f(x) = x2 - 4x + 1 f(x) = – x2 + 4 f(x) = - x2 + 4x - 1
The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Test the claim, at the α = 0.05 level of significance, that a linear relation exists between the two variables, Apply classical and p-value approaches. Show step1-step3. Input β1 as "beta1" or "β1". Do NOT input as "b1". Temperature x 72 85 91 94 100 80 90 78 99 number of absences y 3 7 10 10 8 9 4 15 15 Round critical value and test statistic to nearest hundredth. (0.125 would be entered 0.13) Round p-value to nearest ten-thousandth. (0.14275 would be entered 0.1428)
Second, the researcher wishes to use graphical descriptive methods to present summaries of the dataon each of the two variables: hours worked per week and yearly income, as stored in fileHOURSWORKED.xls. Hours Per Week Yearly Income ('000's) 18 43.8 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5 34.5 64.7 42.3 66.1 34.5 72.3 28 73.2 38 74.2 31.5 68.5 36 69.7 37.5 71.2 22 66.3 33.5 66.5 37 66.7 43.5 74.8 20 62.0 35 57.3 24 55.3 20 56.1 41 61.5 a) The number of observations (n) is 65…
Given: The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form: Q = f( P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months. The results are presented below: DEPENDENT VARIABLE Qc R- SQUARE F-RATIO P-VALUE ON F OBSERVATIONS 64 0.8093 84.872 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 8.20 4.01 2.04 0.0461 PC…

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