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# Edexcel S3 - Wednesday 25th May AM 2016 watch

1. (Original post by Random1357)
This paper also had several tricks (CLT not at assumption, lose 2 DoF for a chi squared test)
This question was 2 marks. I wrote two assumptions, one that

"the sample size was sufficiently large for the central limit theorem to render the sample mean approximately normally distributed"

and two

"s and mu are unbiased estimates of the population standard deviation and mean respectively"

Is this not correct?
2. (Original post by Euclidean)
This question was 2 marks. I wrote two assumptions, one that

"the sample size was sufficiently large for the central limit theorem to render the sample mean approximately normally distributed"

and two

"s and mu are unbiased estimates of the population standard deviation and mean respectively"

Is this not correct?
Neither sound like assumptions, to be honest.

For the first: you don't assume the sample size is large enough. The question either tells you that it is or isn't. i.e" if the question says the sample size is n=80, you don't "assume the sample size is n>50 so CLT applies)

[edit: haven't actually sat the paper so don't know if the question specified n = k > 50, if not, then ignore the above paragraph]

Second, it's again not an assumption that s and mu are unbiased estimates of population standard deviation. They are unbiased estimates, I can prove it if you'd like. The assumption is that we assume they are equal to the population standard deviation and mean which isn't true in general.
3. (Original post by Euclidean)
This question was 2 marks. I wrote two assumptions, one that

"the sample size was sufficiently large for the central limit theorem to render the sample mean approximately normally distributed"

and two

"s and mu are unbiased estimates of the population standard deviation and mean respectively"

Is this not correct?
Since the normal condition (no pun intended) is that n>50 for the central limit theorem to hold, I think it's reasonable to say that the CLT is a bit of an assumption in this instance (n=36 and 42 iirc) since it's by no means (no pun intended) ensured to be dead-on accurate.

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4. (Original post by Krollo)
Since the normal condition (no pun intended) is that n>50 for the central limit theorem to hold, I think it's reasonable to say that the CLT is a bit of an assumption in this instance (n=36 and 42 iirc) since it's by no means (no pun intended) ensured to be dead-on accurate.

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You totally intended those puns.
5. (Original post by Zacken)
For the first: you don't assume the sample size is large enough. The question either tells you that it is or isn't. i.e" if the question says the sample size is n=80, you don't "assume the sample size is n>50 so CLT applies)
(Original post by Krollo)
Since the normal condition (no pun intended) is that n>50 for the central limit theorem to hold, I think it's reasonable to say that the CLT is a bit of an assumption in this instance (n=36 and 42 iirc) since it's by no means (no pun intended) ensured to be dead-on accurate.Posted from TSR Mobile
I must have missed a chapter with this n>50 condition. But the central limit theorem describes the tending of the sum of multiple variables to a normal distribution, when n is relatively quite large the central limit theorem acts as the basis for us to say X bar (in this case) is approximately normally distributed but the judgment of n being 'sufficiently large' is an assumption in itself is it not?

(Original post by Zacken)
Second, it's again not an assumption that s and mu are unbiased estimates of population standard deviation. They are unbiased estimates, I can prove it if you'd like. The assumption is that we assume they are equal to the population standard deviation and mean which isn't true in general.
The question threw me as they never specified that they were actually unbiased estimates in the question. Although looking at it now your assumption makes a lot more sense as an answer

Edit: I didn't catch your edit when I posted this
6. (Original post by Euclidean)
This question was 2 marks. I wrote two assumptions, one that

"the sample size was sufficiently large for the central limit theorem to render the sample mean approximately normally distributed"

and two

"s and mu are unbiased estimates of the population standard deviation and mean respectively"

Is this not correct?
I agree with zacin that sadly the second is unlikely to attract credit, though I may hold out some hope for the former (I essentially put it too and I think it's justifiable as an assumption).

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7. (Original post by Krollo)
I agree with zacin that sadly the second is unlikely to attract credit, though I may hold out some hope for the former (I essentially put it too and I think it's justifiable as an assumption).

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Thanks both of you
8. For all those saying CLT is an assumption.

From what I remmember, The question said "You may assume they are normally distributed"

Therefore the two assumptions are
1) S2 = σ2 .
2 ) They are independent

The second one is because the question did not state the samples were independent and for you to use the big formula involving both X & Y. They have to be independent.

Correct me if i'm wrong please
9. (Original post by Inges)
For all those saying CLT is an assumption.

From what I remmember, The question said "You may assume they are normally distributed"

Therefore the two assumptions are
1) S2 = σ2 .
2 ) They are independent

The second one is because the question did not state the samples were independent and for you to use the big formula involving both X & Y. They have to be independent.

Correct me if i'm wrong please
You are correct.

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10. (Original post by physicsmaths)
You are correct.

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Yay, no more doubts!
11. Anyone remember how many marks the very last part was worth, where n=44? Thanks.
Anyone remember how many marks the very last part was worth, where n=44? Thanks.
Believe it was 4 marks.

With only 1 or 2 dedicated to actually getting it right I wager.
13. (Original post by Krollo)
Since the normal condition (no pun intended) is that n>50 for the central limit theorem to hold, I think it's reasonable to say that the CLT is a bit of an assumption in this instance (n=36 and 42 iirc) since it's by no means (no pun intended) ensured to be dead-on accurate.

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But in the questions it already said you may assume they are bormally distributed.
14. (Original post by physicsmaths)
But in the questions it already said you may assume they are bormally distributed.
Oh, fair enough.

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15. (Original post by Krollo)
Oh, fair enough.

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How did it go for you? 100?

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16. (Original post by physicsmaths)
How did it go for you? 100?

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Nah, I'll have lost one there, but everything else was fine I think.

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17. (Original post by Krollo)
Nah, I'll have lost one there, but everything else was fine I think.

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Hopefully still 100 UMS tho, im happy i think i got a B atleats haha. You sitting S4 M4-5 aswell?

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18. (Original post by physicsmaths)
Hopefully still 100 UMS tho, im happy i think i got a B atleats haha. You sitting S4 M4-5 aswell?

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Nah doubt it, it was a fairly easy paper. My combo has been broken, cri :-(

In all seriousness I don't particularly care, it's only stats. Not doing S4 but I am going for M4 and M5... mechanics is much better tbh

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19. (Original post by Krollo)
Nah doubt it, it was a fairly easy paper. My combo has been broken, cri :-(

In all seriousness I don't particularly care, it's only stats. Not doing S4 but I am going for M4 and M5... mechanics is much better tbh

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If the A boundary is above 60 and an even number 100ums will be 74 .

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20. (Original post by physicsmaths)
If the A boundary is above 60 and an even number 100ums will be 74 .

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Weird thing is, I would probably be a lot less stressed about exams if I knew I'd dropped marks already... at the moment it seems teachers / friends / folk online are kind of expecting me to get full ums again when I know it isn't realistically possible. Knowing that I've already dropped marks can make things much easier, since beyond that A Levels serve little real purpose for me provided I don't completely **** them up.

My brain is a strange place, sorry for pouring it out onto the s3 thread guys

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