absolution*
ymyum
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- 2004
i used st dev of 5 in all of b, so they will be wrong
It would be P(X>30). X refers to 'driving time' so it doesn't matter that he left home at 8.00, what matters is whether driving time would exceed 30 minutes.1Time4thePpl said:Furthermore, could someone explain q3.a.
My logic is a bit off.
How do we find the probability of him arriving after 8:30, based on him leaving at 8:00?
I understand if it was just P(X>8:30)
Although, I'm not even sure if that would be correct as minutes an hours only have 60 and 24 units. This could lead to incorrect calculations.
I think we only get the ones at the back of the blue bookLainee said:For Q2(b) I had different answers to the ones 1time posted. I got a=1 and b=99 by saying:
a=(-1.96)25 + 50
b=(1.96)25 - 50
The difference between our working out is that I substituted the Z values as 1.96 and -1.96.
Hmm... are we meant to use the tables from our textbook or the ones at the back of our workshop booklet?
HAha stasmo. Youre such a silly poo,1Time4thePpl said:How do we find the probability of him arriving after 8:30, based on him leaving at 8:00?
I understand if it was just P(X>8:30)
Although, I'm not even sure if that would be correct as minutes an hours only have 60 and 24 units. This could lead to incorrect calculations.
Got crabs so i cant get up. Im sure someone else will post them up.sarevok said:can you post how you got the equations plz?
I was under the impression that sampling distribution is calculated with the standard error.ToO LaZy ^* said:hey stas..i checked your answer for 2d)..and i was wondering..why did you calculate the standard error?