It looks like you're using an Ad Blocker.
Please white-list or disable AboveTopSecret.com in your ad-blocking tool.
Thank you.
Some features of ATS will be disabled while you continue to use an ad-blocker.
They mislead with the headline on purpose and put the information of sample size where most people don't read.
originally posted by: MDDoxs
originally posted by: TheMirrorSelf
originally posted by: MDDoxs
a reply to: seedofchucky
Interesting little piece from Yale
The variability of a statistic is determined by the spread of its sampling distribution. In general, larger samples will have smaller variability. This is because as the sample size increases, the chance of observing extreme values decreases and the observed values for the statistic will group more closely around the mean of the sampling distribution. Furthermore, if the population size is significantly larger than the sample size, then the size of the population will not affect the variability of the sampling distribution (i.e., a sample of size 100 from a population of size 100,000 will have the same variability as a sample of size 100 from a population of size 1,000,000).
Link
Would you agree or disagree?
I would disagree. By that logic the most accurate studies would have a sample size of 1.
Lol, I laugh at you.
Never ceases to amaze me how fortunate we are to have so many big brain, 180+ IQ people on these boards.
I then challenge you to provide me with a academically accepted statically model that should have been used and why it is more accurate. I will wait.
originally posted by: TheMirrorSelf
originally posted by: MDDoxs
originally posted by: TheMirrorSelf
originally posted by: MDDoxs
a reply to: seedofchucky
Interesting little piece from Yale
The variability of a statistic is determined by the spread of its sampling distribution. In general, larger samples will have smaller variability. This is because as the sample size increases, the chance of observing extreme values decreases and the observed values for the statistic will group more closely around the mean of the sampling distribution. Furthermore, if the population size is significantly larger than the sample size, then the size of the population will not affect the variability of the sampling distribution (i.e., a sample of size 100 from a population of size 100,000 will have the same variability as a sample of size 100 from a population of size 1,000,000).
Link
Would you agree or disagree?
I would disagree. By that logic the most accurate studies would have a sample size of 1.
Lol, I laugh at you.
Never ceases to amaze me how fortunate we are to have so many big brain, 180+ IQ people on these boards.
I then challenge you to provide me with a academically accepted statically model that should have been used and why it is more accurate. I will wait.
Ummmm...no.
Quick edit: I do have a 180 IQ and graduated top in my class from West Point with a degree in Economics. Just sayin'...
originally posted by: MDDoxs
originally posted by: TheMirrorSelf
originally posted by: MDDoxs
originally posted by: TheMirrorSelf
originally posted by: MDDoxs
a reply to: seedofchucky
Interesting little piece from Yale
The variability of a statistic is determined by the spread of its sampling distribution. In general, larger samples will have smaller variability. This is because as the sample size increases, the chance of observing extreme values decreases and the observed values for the statistic will group more closely around the mean of the sampling distribution. Furthermore, if the population size is significantly larger than the sample size, then the size of the population will not affect the variability of the sampling distribution (i.e., a sample of size 100 from a population of size 100,000 will have the same variability as a sample of size 100 from a population of size 1,000,000).
Link
Would you agree or disagree?
I would disagree. By that logic the most accurate studies would have a sample size of 1.
Lol, I laugh at you.
Never ceases to amaze me how fortunate we are to have so many big brain, 180+ IQ people on these boards.
I then challenge you to provide me with a academically accepted statically model that should have been used and why it is more accurate. I will wait.
Ummmm...no.
Quick edit: I do have a 180 IQ and graduated top in my class from West Point with a degree in Economics. Just sayin'...
I cant tell if your playing along with the joke or not lol. Next you will tell me you have 50+ confirmed kills and are a navy seal.
Edit to keep this post on topic. So you have a IQ of 180 and a degree in economics and you wont reference a single statistical model that you feel would be more appropriate to help us understand how many doctors are vaccinated?
originally posted by: MDDoxs
a reply to: MetalThunder
Lol what a joke, I would love to see the results they claim to have collected. The AMA clearly presented their data, while this periodical makes unsubstantiated claims.
Just so you know, I took a survey of 1 billion doctors and I got a vaccination rate of 99.999999999999%. I am not going to show you anything, just need to take my word for it.
originally posted by: Stevenmonet
They should have simply stated that when asked whether they took the vax 300 out of one million responded and 96% of those were affirmative.
The other 9,999,700 declined to respond.
That wouldn't fit their agenda would it. They bury the lead and lead with the agenda. Now why would that be?
originally posted by: MDDoxs
a reply to: sirlancelot
So let me get this straight, you think this information is propaganda because it doesn't meet your non-expert opinion on an effective sample size? You do realize that is exactly the stance the anti-vaccination crowd takes right?
So are you saying the anecdotal and small study reports the anti-vaccination crowd references is also propaganda?
originally posted by: MDDoxs
a reply to: KKLOCO
Totally dude...you are soo right man.. How wrong we are.....The 5+ billion who have been vaccinated are dying off!!! Why oh why was there not animal trials!!
Zzz, you crack me up as well. So I guess we are mutually entertained.
Please stay on topic and make a comment about the OP. Do you agree with the method of sampling or sample size?
originally posted by: MDDoxs
a reply to: seedofchucky
Interesting little piece from Yale
The variability of a statistic is determined by the spread of its sampling distribution. In general, larger samples will have smaller variability. This is because as the sample size increases, the chance of observing extreme values decreases and the observed values for the statistic will group more closely around the mean of the sampling distribution. Furthermore, if the population size is significantly larger than the sample size, then the size of the population will not affect the variability of the sampling distribution (i.e., a sample of size 100 from a population of size 100,000 will have the same variability as a sample of size 100 from a population of size 1,000,000).
Link
Would you agree or disagree?