Here's from the mathematician that developed confidence intervals. I'm sure Sheriff Joe's bloggers know more than this guy about what he developed...
A 95% confidence interval does not mean that for a given realised interval calculated from sample data there is a 95% probability the population parameter lies within the interval, nor that there is a 95% probability that the interval covers the population parameter. Once an experiment is done and an interval calculated, this interval either covers the parameter value or it does not, it is no longer a matter of probability. The 95% probability relates to the reliability of the estimation procedure, not to a specific calculated interval.[SUP][11][/SUP] Neyman himself made this point in his original paper:[SUP][3][/SUP]
"It will be noticed that in the above description, the probability statements refer to the problems of estimation with which the statistician will be concerned in the future. In fact, I have repeatedly stated that the frequency of correct results will tend to α. Consider now the case when a sample is already drawn and the calculations have given [particular limits]. Can we say that in this particular case the probability of the true value [falling between these limits] is equal to α? The answer is obviously in the negative. The parameter is an unknown constant and no probability statement concerning its value may be made..
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Like I said, you guys are very dumb people... so you have absolutely no clue what NASA means with the 38% probability. They even tell you that you are misunderstanding them yet you continue to believe your nonsense. It is hilarious how dumb conservatives are.
Kentucky | 10/13 |
Duke | 8/1 |
Virginia | 9/1 |
Arizona | 12/1 |
Wisconsin | 14/1 |
LMAO!!! The best part is you seriously believe you know what you are talking about. You still do not understand what they are saying. A 95% confidence level does not mean they are 95% sure something will happen. It does not mean there is a 5% chance it won't. There is a 5% probability that IF an uncertain event happened that it would fall outside the 95% confidence level. This DOES NOT mean there is a 5% probability that the value will fall outside the 95% confidence level.Of course it doesn't mean something is necessarily 95% likely to fall within a parameter, idiot. It's only an estimation of confidence based on some kind of variables (usually past performance). If I say I'm 95% sure something will happen based on x, y and z...that still means there's a 5% chance it won't. This is my favorite part of the explanation you copied and pasted (clearly without understanding):
Once an experiment is done and an interval calculated, this interval either covers the parameter value or it does not.
Wow, brilliant. So you're telling me once a football game ends, I either bet the winning or losing side and there is no longer a need to estimate who will win? Gripping stuff...really hope there is more where that came from.! Too bad your stupid global warming fraud of an "experiment" is anything but done or concluded.
LMAO!!! You are so dumb it's hilarious. It's not an "educated guess" and they are not 38% confident 2014 is the warmest on record. You clearly do not understand what they are talking about. When it comes to math you really should be asking me questions instead of making comments, because you literally have no clue what you are saying. They are trying to explain to you that you have a fundamental misunderstanding of uncertainty. They are saying there is a 38% probability that given their uncertainty that 2014 is the hottest year. This DOES NOT mean they are only 38% sure that 2014 is the hottest year.That's why NASA said they are 38% confident that 2014 was the warmest on record, you shithead. According to them, it has the highest probability of being the hottest year recorded. That doesn't guarantee 2014 was the hottest ever. It's nothing more than an educated guess, at best.
That's not the logic at all. You still clearly do not understand what they are saying. It is absolutely hilarious.For comparisons sake, here are the current odds for college hoops championship winners:
Kentucky 10/13 Duke 8/1 Virginia 9/1 Arizona 12/1 Wisconsin 14/1
By your stupid logic, you're saying since Kentucky is the biggest favorite...that automatically must mean they'll win the championship. It's no different than saying 2014 was the warmest on record because it's the most likely to be (allegedly)
You really should go back to high school. You are really dumb.Be sure to tell your literature professor that you got an F in Statistics from Professor JD...and you suck at stats just as badly as you suck at life.
Love,
Daddy
LMFAO
Here is how laughable these people are. From 2000:
Snowfalls are now just a thing of the past
Global warming, the heating of the atmosphere by increased amounts of industrial gases, is now accepted as a reality by the international community. Average temperatures in Britain were nearly 0.6°C higher in the Nineties than in 1960-90, and it is estimated that they will increase by 0.2C every decade over the coming century. Eight of the 10 hottest years on record occurred in the Nineties.
However, the warming is so far manifesting itself more in winters which are less cold than in much hotter summers. According to Dr David Viner, a senior research scientist at the climatic research unit (CRU) of the University of East Anglia,within a few years winter snowfall will become "a very rare and exciting event".
Well, Dr Viner, New York has a 60% chance of getting 2 feet of snow in the next 24 hours
http://www.wpc.ncep.noaa.gov/pwpf/wwd_accum_probs.php?ftype=probabilities&fpd=72&ptype=snow
Good thing these people are so smart and such responsible scientists.
By the way, applying the same dummy logic that the scientific illiterate who started this thread uses would mean that since scientists said snow will be rare and we are getting 2 feet tomorrow, global warming people are therefore retarded and wrong.