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In Problem 1 we found the probability density function for a classical harmonic oscillator. In quantum mechanics, the probability density function for a harmonic oscillator (in the ground state) is proportional to
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- Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.arrow_forwardRecall that the general form of a logistic equation for a population is given by P(t)=c1+aebt , such that the initial population at time t=0 is P(0)=P0. Show algebraically that cP(t)P(t)=cP0P0ebt .arrow_forward(c) Let X follow the gamma distribution with pdf S(z) = r(a) on z> 0. If a =1 and V(X)=4 find the value of b, and hence find E(X).arrow_forward
- Problem # 1. Functions of random variables: = ae a) Let random variable X have probability density function fx(x) u(·) is the unit step function, and a > 0. Define derived random variable u(x), where Y = g(X) = loge [1 − e¯ªX] – Find the PDF ƒy(y). b) Next, consider any continuous random variable W with known PDF, fw(w). Define derived random variable Z=h(W) = log. [Fw(W)] where Fw() is the CDF of W. Find the PDF ƒz(z).arrow_forwardSuppose the random variable T is the length of life of an object (possibly the lifetime of an electrical component or of a subject given a particular treatment). The hazard function hr(t) associated with the random variable T is defined by hr(t) = lims-o- P(t ≤ Tarrow_forwardLet I, be the input current to a transistor and I, be the output current. Then the current gain is proportional to In Suppose the constant of proportionality is 1 (which amounts to choosing a particular unit of measurement), so that current gain = X = In Assume X is normally distributed with u- 2 and o = 0.03. (a) What type of distribution does the ratio I, have? O Since In has a lognormal distribution, by definition has a lognormal distribution. O Since In has a normal distribution, by definition - has a normal distribution. O Since In has a normal distribution, by definition has a lognormal distribution. O Since In has a lognormal distribution, by definition - has an exponential distribution. O Since In has a normal distribution, by definition - has an exponential distribution. (b) What is the probability that the output current is more than twice the input current? (c) What are the expected value and variance of the ratio of output to input current? (Round your expected value to two…arrow_forward1. A random variable Y has the probability density function (a) Find E[Y]. (b) Find Var[Y]. [3t-4 t > 1 t< 1 fy(t) = - {3²-4arrow_forward(b) The probability density of a function is given by p(x) from x = 1 to x = 4. That is 62 x3 dx = 1 62 P(x) dx = - 00 Determine the value of the standard deviation.arrow_forwardSolvearrow_forwardsolve question 5 a,b,c and darrow_forward1. Fix r € N, and suppose that Y₁,..., Yn are independent and identically distributed NegBin(r, ) random variables, each with probability mass function given by ¡v (u | 0) – (1 + r − ¹) (1 - fy y (1 - 0) ³0⁰ for y ¤ N and unknown 0 € (0, 1). Here the number of successes r in the negative binomial is known.arrow_forward2. In probability, it is common to model the deviation of a day's temperature from the monthly average temperature using the Gaussian probability density function, 1 f(t) = %3D e This means that the probability that the day's temperature will be between t = a and t = b different from the monthly average temperature is given by the area under the graph of y = f(t) between t = a and t = b. A related function is 2 F(2) = e-t /9 dt, x >0. x > 0. This function gives the probability that the day's temperature is between t = -x and t = x different from the monthly average temperature. For example, F(1) 2 0.36 indicates that there's roughly a 36% chance that the day's temperature will be within 1 degree (between 1 degree less and 1 degree more) of the monthly average. 1 (a) Find a power series representation of F(x) (write down the power series using sigma notation). (b) Use your answer to (a) to find a series equal to the probability that the day's temperature will be within 2 degrees of the…arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
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