Let x = the time (in 10−1 weeks) from shipment of a defective product until the customer returns the product. suppose that the minimum return time is γ = 3.5 and that the excess x − 3.5 over the minimum has a weibull distribution with parameters α = 2 and β = 2.5.(a) what is the cdf of x? f(x) = 0 x < 3.51−e^−((x−3.5)2.5)2 x ≥ 3.5(b) what are the expected return time and variance of return time? [hint: first obtaine(x − 3.5)andv(x − 3.5).](round your answers to three decimal places.)e(x) = 10^−1 weeksv(x) = (10^−1 weeks)2(c) computep(x > your answer to four decimal places.)

Muscles, a membership-only gym is hoping to open a new branch in a small city in pennsylvania that currently has no fitness centers. according to their research approximately 12,600 residents live within driving distance of the gym. muscles sends out surveys to a sample of 300 randomly selected residents in this area (all of who respond) and finds that 40 residents say they would visit a gym if one was located in their area. based on the past survey research, muscles estimates that approximately 30% of these respondents would actually join the gym if they opened one in the area. based on this information and the results of the sample survey, about how many residents should muscles expect to join its new branch? a) 134 b) 504 c) 1,680 d) 3,780

What is the lcm of 16 and 40 ? 24 and 40 ?

What additional information could be used to prove abc =mqr using sas? check all that apply.