belboid
Exasperated, not angry.
Well, it's the law actually, but hey hoIf someone wants to fill it in that is their choice. Bin bound it will go.
Well, it's the law actually, but hey hoIf someone wants to fill it in that is their choice. Bin bound it will go.
Well, it's the law actually, but hey ho
That will be done by the repeated visits you'll be getting from census officers. So, if you fancy not answering the door for nine months, go wild.
I am not an expert in statistics like you must be, but I thought statistical sampling was still quite error-prone, and able to overlook large sections of society? Which, I thought, was why political polls don't all agree with each other, and don't always predict election results correctly.It is completely outdated and ignores the discovery of statistical sampling hundred of years ago.
Maybe, but the head of the ONS has said that "regular, large scale population surveys", in conjunction with 'administrative data', will be considered in 2023 when they make the decision whether or not to continue with the census in its present form.I am not an expert in statistics like you must be, but I thought statistical sampling was still quite error-prone, and able to overlook large sections of society? Which, I thought, was why political polls don't all agree with each other, and don't always predict election results correctly.
Not sure what your point is, then...unless you think that the census is some 'sacred cow' beyond change?I know, that has been repeated many times in this thread. The only alternative to him saying that would have been for him to say "we are not even considering any alternative ways of doing it, ever", which would rightly be seen as pretty irresponsible and ridiculous thing for a head of statistics to say.
All other ONS data collection is undertaken by (sample) survey; in fact I've currently got an ONS letter on my table inviting me to take part in their latest employment data survey...inc. the £15 shopping voucher incentive.My point was: The fact that the ONS are "considering other alternatives" is not any indication that the census "is completely outdated and ignores the discovery of statistical sampling hundred of years ago".
So? One big one, lots of little ones. The little ones use the big one as a basis too for correlation and testing of assumptions.All other ONS data collection is undertaken by (sample) survey; in fact I've currently got an ONS letter on my table inviting me to take part in their latest employment data survey...inc. the £15 shopping voucher incentive.
I am not an expert in statistics like you must be, but I thought statistical sampling was still quite error-prone, and able to overlook large sections of society? Which, I thought, was why political polls don't all agree with each other, and don't always predict election results correctly.
So? One big one, lots of little ones. The little ones use the big one as a basis too for correlation and testing of assumptions.
What are you basing your complete confidence that statistical sampling is more accurate than asking 95% of the population? Have you studied it (informally or formally, I'm not saying you need a qualification, but you do need to have spent time on it)?Ignoring the flaccid attempt at sarcasm, the difference between the inaccuracies of an opinion poll which is designed to reflect voting intentions and statistical sampling for a population survey should be obvious. Statistical sampling is used all the time for numerous purposes - checking the weights of bags of spuds - the consistency of medicines - the effectiveness of vaccines.
19th century is pretty recent as far as maths goes. We still use pythagoras theorem from like 500BC; because it is still right. So age of an approach isn't necessarily a reason to cancel it.Executing sampling well can be more accurate then taking an approach which is , at best, from the 19thC.
Pythagoras also famous for his ban on beans19th century is pretty recent as far as maths goes. We still use pythagoras theorem from like 500BC; because it is still right. So age of an approach isn't necessarily a reason to cancel it.
If you are not basing your complete confidence on anything in particular, then why would anyone listen to your opinion on it? It would be like paying attention to a random email telling you you won a lottery.
19th century is pretty recent as far as maths goes. We still use pythagoras theorem from like 500BC; because it is still right. So age of an approach isn't necessarily a reason to cancel it.
Equally his Dualist obsession about no shagging, renouncing worldly wealth has been practiced ever since.......besides he knew fuck all about stats and was obv completely nuts about anything other than triangles - Euclid would have been a better example19th century is pretty recent as far as maths goes. We still use pythagoras theorem from like 500BC; because it is still right. So age of an approach isn't necessarily a reason to cancel it.
What sources are you basing your "high degree of confidence" in, then? Or is it just that you reckon what you say feels about right?Would never profess complete confidence in anything but do have a high degree of certainty :/
If you do a 95% sample but miss out 5% of the population all of whom happen to be from a particular sector then that is less accurate than a 20% sample which includes a representation of the missed out sector in the sample. For example, if you design a census that includes the 95% of the population who can read and write you miss out all of those who can't. If you take a complete return of 20% of the population including those who can't read and write and then extrapolate, the result will be more representative as it includes the illiterate.
Statistical sampling recognises the real world fact that a 100 % sample is not achievable and that the percentage who are not sampled in the attempt to reach 100% are often the ones that particularly need to be included in returns.
What sources are you basing your "high degree of confidence" in, then? Or is it just that you reckon what you say feels about right?
Are any of the figures you quote (eg "all of the 5% who were missed by the census were from 1 demographic", "5% of the population cant read or write") based on real studies, or did you make then up from thin air to try to justify your argument?
Right I'm going in on it now.rutabowa This thread pretty much covers the same topic if you want to read up on it.
Why is it claimed that a sample is often more accurate than a census?
When learning the course of sampling, I meet the following two statements: 1) Sampling error leads to mostly variability, nonsampling errors lead to bias. 2) Because of nonsampling error, a sampl...stats.stackexchange.com
Your objection to a 95% sample was that it was probably overlooking entire demographics wasn't it? I am suggesting that is very unlikely, particularly given community engagement programmes, and would in fact be far more likely to happen with smaller sample sizes.