Suppose that the lifetime of a component (in hours), x is modeled with a weibull distribution with β= 0.5 and δ= 4000. determine the following in parts (a) and (b):

a. p(x> 3500) b. (x> 6000 | x> 3000)
c. comment on the probabilities in the previous parts com- pared to the results for an exponential distribution.
d. comment on the role of the parameter 13 in a lifetime model with the weibull distribution.

First, think of what you know. you know that the number t the end of the equation will need to be subtracted because it is the money he lost from buying the lawn mower. and your first two weeks have negative profit, so that tells you that c and d are wrong. now you can plug any of the weeks into a and b to see which one works. i'll start with plugging week 1 into a.this isn't right because it says your answer for week one should be -90.so now we need to try the same thing with b.this one got you the right answer, (sometimes if you only check with one of the weeks multiple will work so you need to check with more of the weeks, but it worked out fine here)this means that b is the correct answer.let me know if you need more clarification. i hope this : )