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- a) A university projects that enrollments are going to decline as the pool of college-aged applicants begins to shrink. They have estimated the number of applications for coming years to behave according to the function a = f(t) = 6,500 – 250t where a equals the number of applications for admission to the university and t equals time in years measured from this current year (t = 0). i. What class of function is this? ii. What is the expected number of applications 5 years from today? 10 years? iii. Do you think this function is accurate as a predictor indefinitely into the future? iv. What kinds of factor would influence the restricted domain on t?According to the U.S. Customs and Border Protection Agency, the average airport wait time (time from arrival at the airport until the completion of security screening) at Chicago's O'Hare Inter- national airport is 32 minutes for a passenger arriving during the hours 4-5 PM. Assume the wait time is exponentially distributed so that p(t) = ke-kt for 0≤t<∞, where k is the reciprocal of the average wait time. Assume t is measured in minutes. 1. Sketch a labeled plot of the relevant pdf on the interval [0, 90] minutes (while remembering that it is defined for all t≥ 0.) 2. Set up integrals (you can write p(t) for the integrand) for the following probabilities: (a) Waiting longer than 60 minutes. (b) Waiting shorter than 30 minutes. (c) Waiting between 20 and 40 minutes. 3. Evaluate the probability that the waiting time is longer than 60 minutes (part 2(a) above) and convert to a percentage with two decimal places.A fair coin is flipped 3 times. Let X be the number of heads in the 3 tosses, and Y be the absolute value of difference between heads and tailes. Find E(X)and E(Y), respectively.
- Calculate the power of this study given the following information: A population of people with bad money-saving habits needs an intervention. The amount of money they save monthly is µ = 0 with a σ = 42. Researchers hypothesize that watching the HGTV show Flip or Flop will encourage these folks to save money (e.g., to help save for a down payment on a new house). The researchers hypothesize that this “treatment” will increase scores in a sample of n = 36 by $40, to a new population mean of µ = 40. a. What is the power of this study, given a two-tailed hypothesis and an α = .05?Consider the Prelec function w(p) = e−1.5(− ln p) . Consider only interior fixed points (so ignore the fixed points w(0) = 0 and w(1) = 1). Let p be the probability corresponding to the point of inflexion and p∗ the fixed point. Which of the following statements is true? (A) p < p∗. (B) p > p∗. (C) p = p∗. (D) There is insufficient information to determine the relative sizes of p, p∗.1
- Your internal body temperature T in °F is a Gaussian (μ =98.6, σ = 0.4) random variable. In terms of the Φ function, find P[T > 100]. Does this model seem reasonable?Given: image Find the following: show sol. a) Conditional pdf of Y given X=x b) Conditional Expectation of Y given X=x c) Conditional variance of Y given X=xFor a wide sense stationary process: Select one: O a. the covariance is constant O b. all of these O c. the expected value is constant
- Let X₁, X2, X3, be a random sample from a discrete distribution with probability function p(x) = for x = 0, for x = 1, otherwise. Determine the moment generating function M(t) of Y = X₁X₂X3- A. exp(t) B. (exp(t)+7)/8 C. (exp(1/2)+1)/3 D. (exp(t)+63)/64 E. (exp(t)+1)/4The moment generating function M (t) for random variables y are as follow. Examine and identify the distribution of the random variables and state the parameter involves. 1. M(t) = e +2 3 1 2. M()-(3-28) = 3. M(t)= -(-) 4. M(t)= 5 5-tPlease do not give solution in image formate thanku. Consider a particle moving on a one-dimensional line along discrete locations . . . , −2, −1, 0, 1, 2, . . . . Assume that the particle starts at location 0 at time t0 = 0 and it makes a step at every discrete time ti of length 1. A step to the right occurs with probability p and any step is independent of all previous steps. What is the probability that the particle returns to the origin after N steps? How does this probability behave for large N for a special case of p = 1/2?