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- The US divorce rate has been reported as 3.6 divorces per 1000 population. Assuming that this rate applies to a small community of just 500 people and it’s Poisson distributed, and that x = the number of divorces in this community during the coming year, determine the following : a. E(x) b. P(x=1) c. P(x=4) d. P(x6) e. P(2x5)Consider the function f(x) = -6x2 + 4x - 4. Find the critical point, A of the function. At x = A, does f(x) have a local min, or local max, or neither?For what value of k will x + k/x have a relative maximum at x = -2?
- Classify the critical point (0, 0) as to type, and determine whether it is stable, asymptotically stable, or unstable.4.(1−44−7)Consider f(x) = 1/x on [1,∞). Find all the critical points. Is there a maximum? If yes, find it. If no, why not? Is there a minimum? If yes, find it. If no, why not?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)
- Classify the critical point (0, 0) as to type, and determine whether it is stable, asymptotically stable, or unstable. 9.(12−5−1)2) A study was conducted to examine four methods for tutoring in mathematics. Four studentswere randomly assigned to each method, and a pretest score (x1) was obtained before tutoringbegan. The response of interest is a posttest score (y), and dummy variables x2, x3, and x4, werecreated for methods 1, 2, and 3, respectively. Variables x5, x6, and x7, are crossproductvariables for methods 1, 2, and 3, respectively, multiplied by x1. The results from fitting threeregression models to these data are attached to the end of the exam. Since the posttest score isharder than the pretest, it is not unusual for x1 values to be higher than y values. a) Assuming that the parallelism assumption is valid, test for equality of the adjustedgroup means, using alpha = .05. Write the null and alternative hypotheses, calculate an F statisticvalue, compare it to a tabled value and state your conclusion from the hypothesis test. b) Use the fact that the sample mean of x1 is 4.44, and the printout from…f is (inconclusive has a relative maximum has a relative minimum has a saddle point) at the point ( , )
- Determine the best (according to sum-of-squares-measure) curve y = Axb, through the dataabove.Transformed equation ln(y) = ln(A) + b ln(x)orY = a + bX.The data below were collected by a chemical engineer. Y is filtration time, x_1 is temperature, and x_2 is pressure. Fit a second order model. What operating conditions would you recommend if the objective is to minimize the filtration time? x_1 x_2 y -1 -1 54 -1 1 45 1 -1 32 1 1 47 -1.414213562 0 50 1.414213562 0 53 0 -1.414213562 47 0 1.414213562 51 0 0 41 0 0 39 0 0 44 0 0 42 0 0 40Suppose we seek to minimizef(x)= 1/2 (x^T)Hx+ (c^T)x + 13 where H = 10 −9 −9 10 and c = 4 −15 Implement the steepest descent algorithm on this problem, using the starting point x0 = (11,0 )^T.