# OCR A: AS Further Mathematics: Statistics (paper 2) 16th May 2019Watch

Announcements
#1
Here's the exam discussion for Further Maths Stats on the 16th of May.

Good luck! Feel free to share any revision tips.
0
1 week ago
#2
Well last year there was a goodness of fit chi square question so who's betting that this year there will be a 10 mark chi square contingency table with combine cells and Yates correction this year
0
#3
(Original post by Masterchief1345)
Well last year there was a goodness of fit chi square question so who's betting that this year there will be a 10 mark chi square contingency table with combine cells and Yates correction this year
Knowing OCR there will be

I'm gonna go through last years paper and the sample papers and tick the things off the spec and then focus on the stuff that's came up the least. But on most papers there seems to be at least one big Chi Square question so I assume this year's paper will be no exception!
0
1 week ago
#4
Yeah I think thats a good idea because on the pure exam I went through all the previous papers and saw that there had been no proof by induction using matrices so I focused on that and it came up which I was happy about
(Original post by Loci Pi)
Knowing OCR there will be

I'm gonna go through last years paper and the sample papers and tick the things off the spec and then focus on the stuff that's came up the least. But on most papers there seems to be at least one big Chi Square question so I assume this year's paper will be no exception!
0
#5
(Original post by Masterchief1345)
Yeah I think thats a good idea because on the pure exam I went through all the previous papers and saw that there had been no proof by induction using matrices so I focused on that and it came up which I was happy about
Yeah same here. I was so pleased with that 6 mark Proof by Induction! And also there wasn't many vectors questions in the 2018 pure paper so I revised that too (and then there was that long question with like 6 parts to it). I'll tick things off the Stats Spec tomorrow
0
6 days ago
#6
So what are you guys predicting will be on the paper?
There should be a chi squared as you said.
0
#7
(Original post by maths6789)
So what are you guys predicting will be on the paper?
There should be a chi squared as you said.
I'm gonna go through the spec and see what hasn't come up much, after I've finished the Stats worksheet I'm currently doing, then I'll create a topic list of things likely to come up and post it here.

But normally you can expect:
Chi Square
Regression line
PMCC
Spearman's Rank
Finding the E(X) and Var(X)
Perms and Coms
0
#8
Here's the list of what didn't come up last year:
- Uniform distribution
- Mean of geometric distribution
- Formula for Poisson distribution
- Mean and variance of Poission
- Chi square with Yates and combining rows or columns
- Understanding the significance of the largest contribution to the test statistic
- PMCC hypothesis test
- Understanding the meaning of the phrase 'non-parametric test'
- Being able to choose between r and rs in a given context
- Use of scatter diagrams for r and rs
0
5 days ago
#9
I don’t suppose anyone would happen to have the practice set 2 for statistics and the Mark scheme for AS further maths statistics because I’ve realised that our teacher hasn’t given us it and it’s locked online so I cannot access it?
0
5 days ago
#10
I've got them don't know how to send it though

(Original post by Masterchief1345)
I don’t suppose anyone would happen to have the practice set 2 for statistics and the Mark scheme for AS further maths statistics because I’ve realised that our teacher hasn’t given us it and it’s locked online so I cannot access it?
0
5 days ago
#11
There was uniform right? As in the goodness of fit was on uniform. I think we're going to get a big ass PMCC hypothesis test, with the usual bits on linear coding not affecting it and maybe the difference between that and spearman's (I expect to use the phrase 'Bivariate normal distribution' multiple times. ). Maybe a big Chi squared too.

They usually have a couple of algebra ones, so maybe a Poisson algebra one.
(Original post by Loci Pi)
Here's the list of what didn't come up last year:
- Uniform distribution
- Mean of geometric distribution
- Formula for Poisson distribution
- Mean and variance of Poission
- Chi square with Yates and combining rows or columns
- Understanding the significance of the largest contribution to the test statistic
- PMCC hypothesis test
- Understanding the meaning of the phrase 'non-parametric test'
- Being able to choose between r and rs in a given context
- Use of scatter diagrams for r and rs
0
5 days ago
#12
Is it as a paper copy or online?
(Original post by DerivativeName)
I've got them don't know how to send it though
0
5 days ago
#13
(Original post by Loci Pi)
Here's the list of what didn't come up last year:
- Uniform distribution
- Mean of geometric distribution
- Formula for Poisson distribution
- Mean and variance of Poission
- Chi square with Yates and combining rows or columns
- Understanding the significance of the largest contribution to the test statistic
- PMCC hypothesis test
- Understanding the meaning of the phrase 'non-parametric test'
- Being able to choose between r and rs in a given context
- Use of scatter diagrams for r and rs
Which past papers/ textbook questions address these topics? I need about 58 in both mechanics and statistics to get an A* prediction after that horrible pure paper.
2
5 days ago
#14
Online
(Original post by Masterchief1345)
Is it as a paper copy or online?
0
5 days ago
#15
Could you pm me the link to the site where you get the paper from or just put it on this thread? Or if its a pdf you could copy and paste the link directly if thats possible?
(Original post by DerivativeName)
Online
0
5 days ago
#16
Yrrt
0
5 days ago
#17
Try this: https://filebin.net/8hsq42qpbru72vks

They were on our school Google classroom so I couldn't link directly and apparently you can't attach pdfs to tsr comments.
(Original post by Masterchief1345)
Could you pm me the link to the site where you get the paper from or just put it on this thread? Or if its a pdf you could copy and paste the link directly if thats possible?
0
5 days ago
#18
Yes that works you are such a legend thank you so much!!!
(Original post by DerivativeName)
Try this: https://filebin.net/8hsq42qpbru72vks

They were on our school Google classroom so I couldn't link directly and apparently you can't attach pdfs to tsr comments.
0
5 days ago
#19
Np 👍👍
(Original post by Masterchief1345)
Yes that works you are such a legend thank you so much!!!
0
#20
(Original post by DerivativeName)
There was uniform right? As in the goodness of fit was on uniform. I think we're going to get a big ass PMCC hypothesis test, with the usual bits on linear coding not affecting it and maybe the difference between that and spearman's (I expect to use the phrase 'Bivariate normal distribution' multiple times. ). Maybe a big Chi squared too.

They usually have a couple of algebra ones, so maybe a Poisson algebra one.
Oh yeah! I forgot about the uniform goodness of fit one, sorry! And yeah I bet there will be another algebra one, possibly a Poisson one. Also I've noticed in some sample papers they've had algebraic Perms and Coms questions so maybe one of those (though there was one last year).

I'm ready for to use 'Bivariate Normal Distribution', 'Unaffected by Linear Coding', and 'Non-Parametric test' about 1000 times during tomorrows exam.
I have also noticed that my Statistics teacher keeps trying to fit those 3 phrases into every conversation she has with us, to like drill them into or brains!!
1
X

new posts
Latest
My Feed

### Oops, nobody has postedin the last few hours.

Why not re-start the conversation?

see more

### See more of what you like onThe Student Room

You can personalise what you see on TSR. Tell us a little about yourself to get started.

### University open days

• Brunel University London
Wed, 22 May '19
• University of Roehampton
Wed, 22 May '19
• Sheffield Hallam University
Wed, 22 May '19

### Poll

Join the discussion

#### How did your Edexcel GCSE Maths Paper 1 go?

Loved the paper - feeling positive (136)
24.95%
The paper was reasonable (241)
44.22%
Not feeling great about that exam (105)
19.27%
It was TERRIBLE (63)
11.56%