Throughout, let {et} be a white noise process with constant variance o² 2. Let Xt = 0.5Xt-1- 0.06Xt-2 + et a. Show that this is a weakly stationary AR(2) process ... b. By substituting for Xt-1, Xt-2, in the RHS as necessary, give the coefficients for et, et-1, et-2 and et-3 in the equivalent MA(∞) process. NB: you do not have to substitute further than is necessary. c. Noting that -2 3 1 10.5z+0.06z² 1- 0.2z 1 -0.3z = + derive the MA(∞) representation for Xt, i.e. evaluate X₁ = A(L)¯¹et. d. Compare your results in b and c.
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- Prove that average reduces VarianceTo obtain a maximum amount of variance, an item ought to have a degree of difficulty of what?Suppose it is known that the response time of healthy subjects to a particular stimulus is a normally distributed random variable with a mean of 15 seconds and a variance of 16. What is the probability that a random sample of 16 subjects will have a mean response time of 12 seconds or more? <<<I need an answer using R>>>.
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