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  #271  
Old 09-27-2018, 01:36 PM
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1) Writing fast enough, punching calculator buttons and reading tables. The WA questions can get cumbersome, the numbers are messy and we need to document our work presentably to obtain either full credit or not lose partial credit. This exam is truly a race.

2) Multiple and associated decrement formulas and identities to save time.

3) Multiple lives problems can be tricky: reversionary annuities, contingent probability manipulation, recalling certain identities immediately.

4) Lovely stuff like this:

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  #272  
Old 09-27-2018, 02:31 PM
Gettin Lucky In Kentucky Gettin Lucky In Kentucky is offline
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What is going on with TIA's website? Looks like the domain has expired. Was planning to take a practice exam today.

Last edited by Gettin Lucky In Kentucky; 09-27-2018 at 02:31 PM.. Reason: Grammar
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  #273  
Old 09-27-2018, 02:59 PM
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What is going on with TIA's website? Looks like the domain has expired. Was planning to take a practice exam today.
Our web hosting company manages our domain. Somehow they missed the renewal of the domain. WTF, right? Everything was fixed this morning. If you still canít access the site, they try clearing your cache and restart your machine.
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  #274  
Old 09-27-2018, 05:35 PM
DanielWithTheWhiteVans DanielWithTheWhiteVans is offline
 
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I have an issue with the SOA Sample MC question 6.33 (question 12 of Fall 2013 MC):

I found the # of survivors after 15 years so that Loss at issue > 50000:
50000 = survivor payout - premiums = x*10000e^-(15*ln1.03) - 500*10000e^-(.02*15^2/2+15*ln1.03)
and x = 60.48, so we need 61 or more survivors

Then the normal approx. with mean = 500p = 52.699 and variance 500p(1-p) = 47.145
61 = 52.699 + z*sqrt(47.145) so z = 1.20887 and Pr(L>50000) = .1131

The solution they provide (.13) doesn't round the survivors, and I think it should.
(Note, neither solution uses continuity correction)

lmk if I'm missing something. Any advice to answer this consistently?
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  #275  
Old 09-27-2018, 06:48 PM
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Originally Posted by DanielWithTheWhiteVans View Post
I have an issue with the SOA Sample MC question 6.33 (question 12 of Fall 2013 MC):

I found the # of survivors after 15 years so that Loss at issue > 50000:
50000 = survivor payout - premiums = x*10000e^-(15*ln1.03) - 500*10000e^-(.02*15^2/2+15*ln1.03)
and x = 60.48, so we need 61 or more survivors

Then the normal approx. with mean = 500p = 52.699 and variance 500p(1-p) = 47.145
61 = 52.699 + z*sqrt(47.145) so z = 1.20887 and Pr(L>50000) = .1131

The solution they provide (.13) doesn't round the survivors, and I think it should.
(Note, neither solution uses continuity correction)

lmk if I'm missing something. Any advice to answer this consistently?
In problems like this, they mean for you to use the Normal approximation to L0 (as in the SoA solution), not the Normal approximation to the number of survivors.
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  #276  
Old 09-28-2018, 02:48 AM
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Went through all of the 165 SOA questions and felt like majority of them were really straight forward. Hoping the LTAM mc won't be any different.

Time to lower my morale with lvl 7 adapt exams.
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  #277  
Old 09-28-2018, 11:37 AM
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Originally Posted by TranceBrah View Post
Went through all of the 165 SOA questions and felt like majority of them were really straight forward. Hoping the LTAM mc won't be any different.

Time to lower my morale with lvl 7 adapt exams.
Same feeling here for the samples. Started ASM practice exams (first being Exam 6 based on randomly generating numbers between 1 and 13) and heck they are 110% tougher than the samples.
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  #278  
Old 09-29-2018, 12:27 AM
Changda Changda is offline
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Can someone explain to me how to solve part e of written answer 2 from the MLC sample problems? I have no clue how they are finding the variance of the expected value of the present values.
(1000000v^2 - 500000v^2)^2(0.88)(0.12)
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  #279  
Old 09-29-2018, 10:44 AM
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Can someone explain to me how to solve part e of written answer 2 from the MLC sample problems? I have no clue how they are finding the variance of the expected value of the present values.
(1000000v^2 - 500000v^2)^2(0.88)(0.12)
The shortcut formula for vaiance of bernoulli is (a-b)^2*p*(1-p), where the value will be either a or b.

Notice for indicator rv, a=1, b=0.
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  #280  
Old 09-29-2018, 12:19 PM
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is it allowed to take a stop watch/digital watch with you in the exam? T
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