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Edexcel S3 - Wednesday 25th May AM 2016

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Original post by Rkai01
So say if in the next part it involved 100 people we would times the probabiltes by 100.
So there is no scenario where we'd need to alter the estimated s.d?


Indeed. You've already found the s.d for the sample, you'd only divide the s.f by the population number to get the sample variance, but you already have the sample variance so it doesn't need dividing.

Okay say if we were given a normal distribution (we don't need to calculate anything) at the start of q4 would we then divide by 50 I guess as it involves 50 people?


If you're given the distribution of the population, yes.
Reply 241
Original post by Zacken
Indeed. You've already found the s.d for the sample, you'd only divide the s.f by the population number to get the sample variance, but you already have the sample variance so it doesn't need dividing.



If you're given the distribution of the population, yes.


But then the confusing thing is that, isn't those values already taking 50 into account since the data was calculated using those 50 people?
Original post by Rkai01
But then the confusing thing is that, isn't those values already taking 50 into account since the data was calculated using those 50 people?


If the value takes the 50 into account, you don't divide.

If the value doesn't take the 50 into account, you divide.
Hi, please could anyone help with exercise C question 5e https://771a1ec81340d97ae9ed29694f73dd633b1c7c70.googledrive.com/host/0B1ZiqBksUHNYV1BTbDkxWXZCVmc/CH3.pdf, how do we know that Var)Y) is the smallest? :smile:
Original post by economicss
Hi, please could anyone help with exercise C question 5e https://771a1ec81340d97ae9ed29694f73dd633b1c7c70.googledrive.com/host/0B1ZiqBksUHNYV1BTbDkxWXZCVmc/CH3.pdf, how do we know that Var)Y) is the smallest? :smile:


Do you see how in the solutions the different variances all have the same form somethingp(1p)n\textup{something} *\frac{p(1-p)}{n} where for example in the second one (for var(x22n)\displaystyle var(\frac{x_{2}}{2n})), we have something=12\textup{something}=\frac{1}{2}?

All you need to see is: 1>12>38>131>\frac{1}{2}>\frac{3}{8}>\frac{1}{3}.

So the last one has the smallest.
Original post by rayquaza17
Do you see how in the solutions the different variances all have the same form somethingp(1p)n\textup{something} *\frac{p(1-p)}{n} where for example in the second one (for var(x22n)\displaystyle var(\frac{x_{2}}{2n})), we have something=12\textup{something}=\frac{1}{2}?

All you need to see is: 1>12>38>131>\frac{1}{2}>\frac{3}{8}>\frac{1}{3}.

So the last one has the smallest.


Thanks :smile:
Anyone else thinks calculating the test statistic in chapter 4 (chi-squared) is too messy and a big hassle? It's giving me a headache and takes too much time!!
Original post by gagafacea1
Anyone else thinks calculating the test statistic in chapter 4 (chi-squared) is too messy and a big hassle? It's giving me a headache and takes too much time!!


Yes, I agree!! If it's any consolation, past papers tend to be slightly less messy/tedious/long than the textbook.
Original post by Zacken
Yes, I agree!! If it's any consolation, past papers tend to be slightly less messy/tedious/long than the textbook.


I haven't done any past paper question yet tbh. But I have yet to get one question right out of this chapter, I literally got every question I did wrong because of calculation mistakes.
Original post by gagafacea1
I haven't done any past paper question yet tbh. But I have yet to get one question right out of this chapter, I literally got every question I did wrong because of calculation mistakes.


Okay, I know precisely how you feel - I sat down for a good 3 hours and did all the mixed excercises, checked my answers and they were all wrong, every single one of them. (same thing for another topic but can't quite remember which) - the past papers are fine in comparison, so there's not much to worry about.
Original post by Zacken
Okay, I know precisely how you feel - I sat down for a good 3 hours and did all the mixed excercises, checked my answers and they were all wrong, every single one of them. (same thing for another topic but can't quite remember which) - the past papers are fine in comparison, so there's not much to worry about.


Okay good, thanks for the reassurance. PRSOM even though I haven't rated anyone in ages, TSR can be so annoying.
In chapter 5 when there are tied ranks do we instead use that Sxx Sxy formula instead?
In spearmans rank if the observed value is greater than the calculated value then reject H0?
Original post by L'Evil Wolf
In spearmans rank if the observed value is greater than the calculated value then reject H0?


yeah.
nvm it depends on what the critical region is
For all hypothesis testing questions in chapter 5 with linear regression and that is H0: p=0 for all questions?
Original post by L'Evil Wolf
For all hypothesis testing questions in chapter 5 with linear regression and that is H0: p=0 for all questions?


Yeah.
Reply 257
Original post by Zacken
Yeah.

Also (like in June 2015) whenever they ask to test the claim of a person it is always H1: p>0 regardless of the type of correlation right?
(edited 7 years ago)
Original post by Rkai01
Also (like in June 2015) whenever they ask to test the claim of a person it is always H1: p>0 regardless of the type of correlation right?


No, you need to decide whether the test is one tailed or two tailed from the context.
Original post by Zacken
Yeah.

Thank you for your help Zacken.
Original post by Rkai01
Also (like in June 2015) whenever they ask to test the claim of a person it is always H1: p>0 regardless of the type of correlation right?


No that seems it would be two tailed.

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