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DaHuuuuuudge said:
Kasz216 said:
DaHuuuuuudge said:
Kasz216 said:

mean negative correlation.  Trying to put it into terms that he can understand.  Since he geniunely seems to be interested.   Like when people say "Reverse Racism" even though there is no such thing as "Reverse Racism" 

There generally tends to be a negative correlation.  Which is likely... completely unrelated.

As for there being no statistical significance... Look at the last link he posted.

What's the point of talking about Alpha when nobody knows what Alpha is?  (Note for others... see Correlation Coefficent) 

In general, you can often eyeball a linear regression trend line and know when it's not significant.  Unless someone built their graph in a stupid way stretching out either the X or Y.

-_-

The point of talking about alpha-levels is because essencially, they are what statistical significance is. You seem to be confusing correlation coefficient with alpha-levels, an alpha level tells you how likely it will be to reject the null hypothesis, and the correlation coefficient (r-value) shows the level of correlation as well as the nature of correlation (positive vs. negative)

You judge the correlation coefficent with the alpha....

I hate to go all wikipedia on you... which is weird that I'd have too since your a government stats guy but....

http://en.wikipedia.org/wiki/Statistical_significance

 

 

The significance level is usually denoted by the Greek symbol α (lowercase alpha). Popular levels of significance are 10% (0.1), 5% (0.05), 1% (0.01), 0.5% (0.005), and 0.1% (0.001). If a test of significance gives a p-value lower than the significance level α, the null hypothesis is rejected. Such results are informally referred to as 'statistically significant'. For example, if someone argues that "there's only one chance in a thousand this could have happened by coincidence", a 0.001 level of statistical significance is being implied. The lower the significance level chosen, the stronger the evidence required. The choice of significance level is somewhat arbitrary, but for many applications, a level of 5% is chosen by convention.[3][4]

 

 

If a correlation isn't strong enough, it can't pass the Alpha... because it's not strong enough to not be random chance.

I'm honestly not sure if you're just trolling right now. The correlation coefficient isn't mentioned once in the quoted entry. R values are for graphs, alpha values are for inference tests. Alpha levels don't have to be for data that is graphed. I know i shouldn't keep responding, it appears the more wrong you are the more you will reply, but misuse of statistics and condescension are two vehicles for argument i greatly dislike, and you employed them both

Didn't thinnk i'd need to copy that part.... for someone who is supposidly a statiscian, just the alpha part.

Though.... ok. from the very start....

 

"Statistical significance is a statistical assessment of whether observations reflect a pattern rather than just chance. The fundamental challenge is that any partial picture of a given hypothesis, poll or question is subject to random error. In statistical testing, a result is deemed statistically significant if it is so extreme (without external variables which would influence the correlation results of the test) that such a result would be expected to arise simply by chance only in rare circumstances. Hence the result provides enough evidence to reject the hypothesis of 'no effect'.

For example, tossing 3 coins and obtaining 3 heads would not be considered an extreme result. However, tossing 10 coins and finding that all 10 land the same way up would be considered an extreme result: for fair coins the probability of having the first coin matched by all 9 others is  which is rare. The result may therefore be considered statistically significant evidence that the coins are not fair"

 

 

 

In otherwords... in a test when your judging yourself a the correlation of two factors.  You would need to prove that there is more of a correlation then a null hypothisis of zero correlation.

http://en.wikipedia.org/wiki/Statistical_test

 




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Or honestly... hell

http://www.socialresearchmethods.net/kb/statcorr.php


Null Hypothesis: r = 0
Alternative Hypothesis: r <> 0
The easiest way to test this hypothesis is to find a statistics book that has a table of critical values of r. Most introductory statistics texts would have a table like this. As in all hypothesis testing, you need to first determine the significance level. Here, I'll use the common significance level of alpha = .05. This means that I am conducting a test where the odds that the correlation is a chance occurrence is no more than 5 out of 100. Before I look up the critical value in a table I also have to compute the degrees of freedom or df. The df is simply equal to N-2 or, in this example, is 20-2 = 18. Finally, I have to decide whether I am doing a one-tailed or two-tailed test. In this example, since I have no strong prior theory to suggest whether the relationship between height and self esteem would be positive or negative, I'll opt for the two-tailed test. With these three pieces of information -- the significance level (alpha = .05)), degrees of freedom (df = 18), and type of test (two-tailed) -- I can now test the significance of the correlation I found. When I look up this value in the handy little table at the back of my statistics book I find that the critical value is .4438. This means that if my correlation is greater than .4438 or less than -.4438 (remember, this is a two-tailed test) I can conclude that the odds are less than 5 out of 100 that this is a chance occurrence. Since my correlation 0f .73 is actually quite a bit higher, I conclude that it is not a chance finding and that the correlation is "statistically significant" (given the parameters of the test). I can reject the null hypothesis and accept the alternative.



Michael-5 said:
kaneada said:
Michael-5 said:

A. I argue band hand guns, not all guns. If you're going to compare this to alcohol, my suggested method of gun control already applies to alcohol. I argue to ban the most dangerous guns, guess what type of alcohol is banned in the USA and Canada? Anything above 40%, stronger alcohol, alcohol which serves no purpose like handguns, and is only detrimental to society.

B. Prohibition is for alcohol, alcohol clearly has a use. Many countries band guns and have completly healthy economies (Japan and Korea), many others heavily restrict them (Singapore, Mongolia and much of Eastern Europe) and again perfectly reasonable economies. I'm not aware of any developed country which bans alcohol and is doing well.

What's your point in your last sentence, what do you expect society to do to prevent criminals from becoming criminals? I agree here, but you shouldn't put the onus on either party, government and society should be resposible for creating organizations which teach people good morals


A. You're wrong. 95.6% is the highest alcohol content legal in liquor in the USA under federal law the highest being Everclear, which is banned in some states, but not under Federal Law. 

B. Hand guns do have a use, self protection...which is a legal right in this country. 

C. How are handguns more dangerous than assult rifles? I'd argue that both are equally dangerous in the wrong hands. After all, assult rifles were used in the Columbine shooting. If you're going for the concealment factor, Rifles are harder to conceal, but not impossible by any stretch of the imagination. Live in the deep south for 14 years and you learn a thing or to about how to handle and properly conceal weapons.

D. Respsonible gun owners are not detrimental to society. I own two. To this day I've never had to shoot anyone or even threaten anyone with a gun.

E. Prohibiting guns, all or in part, would largely have the same consequences as alcohol prohibition in the states. You don't give society a freedom and then take it away, then expect there not to be public outcry, especially when that largely removes ones freedom to protect oneself. As for your argument against gun ownership in Asia, China is restricted to Military and Law Enforcement. Japan is Rifles only for hunting and heavy permitting is required. In Korea it is flat out illegal for civilians to own guns. Those societies have always been heavily regulated and they do not have a tradition of gun personal gun ownership. What this should tell us is that this has never been a demand of the citzens and therefore has always been a non-issue. In America on the other hand, we've always had this tradtion of personal gun ownership, trying to take that away, once again creates a need for private illegal markets, where  far worse people would maintain possession and sale and we would therefore would increase crime, hence the prohibition comparison.

F. Clairifying my last sentence. I am rerfering to American culture as being the source that produces criminals. For example, poor people tend to fight over resouces espeically income producing ones, which is why poorer neighborhoods tend to have organized gangs that deal weapons and drugs and will commonly fight for territory in order to improve buisness for themselves. Another example would be the bullying that goes on in primarily middle class societies. This one is slightly more complicated, not only because of the causes for the violence, but also the violence itself varies. There are many studies that exist that bring many possible and not necessarily mutually exclusive reasons for such behavior. 

Essentially your proposal only addresses a symptom and does so poorly...The cause for the violent mis-use of weapons exists in the injustices produced by our society not our laws or rights.

A. In Canada it's 40%, I assumed it was the same in the USA. My bad, but hey, this is probably a big reason why the US homicide rate is that much higher in the USA then Canada.

B. Hand guns have a use for self protection? Against what other hand gun users? You can fit a Rifle in a car NP, and a Rifle is more intimidating for defence in the home.

C. Where do I argue hand guns being more dangerous then assault rifles? I correlated them because hand guns are the next one down due to their small size and conceilability. Yes Rifles are concealable, but it's more difficult to have one hidden and available for immediate use, and it's much harder to run with one in your pants, or down your back. With that in mind, it's much harder to surprise people, and rob a store, or shoot someone.

D. Gun owners in Toronto would be detrimental to society since very few people carry a weapon. I don't even think it's legal here, and I've never seen someone other then a cop carry a gun before, at least in Canada. In the states it's probably different because people are so desensitized to guns, but low crime rates due to intimidation over preventive means is not the way to go IMO.

E. No it won't, Alcohol is heavily prohibited here, we went through the same prohibition you did (except it was much shorter here), and were fine. The second amendment is so old, the fact that people hide behind that still is amazing. Yes you have the freedom to carry a gun, but others should be free to roam town without the fear of being shot. In the states people of minorities and gays are heavily oppressed, I'm sure many of them don't feel comfortable with groups of white people carrying handguns, loaded.

However I agree about taking guns away, a lot of people, people like you and others from the south, would heavily oppose it. I severly doubt you'll see people shooting each other to import illegal hand guns, but people won't accept it. This is why it's important to teach people that it's immoral to kill, so that over time people won't see a need for it. I mean people don't carry guns here for a reason in Canada, we don't need one for "protection."

F. I agree, but having hand guns readily available for people such as these is definatly not a smart idea. Could you imagine a gang war turf with rifles and knives? First of all, gangstas would have to disguard their weapons in order to run from cops on neighbouring gangs due to their size, and second they would be much easier to identify.

I 100% agree, banning hand guns is not as fundamental of a cause as helping those in poverty and teaching kids good morals from a young age. I would even argue that you guys in the states should teach kids that it's bad to use guns outside of hunting. However I see no positive with keeping handguns legal.

However keep in mind, I'm not from the southern states. I'm from Canada, out homicide rates are significantly lower despite population, geology, population dencity, ethnicity (Toronto is the most multicultural city in North America, with the highest gay population in any city in NA), or anything. Just the idea of needing a gun for "protection" is absurd to me. If your a vulnerable individual and you really want protection, get a taser gun, or mace, it works just as well.

Find me a study which says hand guns work better for self defence for rape victims then mace or taser guns. I garentee you that is not the case in Canada, but it could be in the states.

The idea just seems wack to me.

A. I'd have to reasearch the effects of alcohol on the murder rate, but I would assume that most people with the intent of comitting a premeditated murder are probably clear headed and focused. However, I could be wrong about that.

B. There are many reasons a person might need to protect themselves in America. Personally, 31 years living in pretty much every Southern state in the US I've yet to find an actual need to defend myself in that manner. Once again I did state that I've never had to threaten anyone with a gun, as a matter of fact I don't even have a concealed carry permit and don't carry mine with me anywhere. 

C. It was implied in your proposal to ban them. That being said, no its really not any harder for someone to hold up a store with an assult rifle. The average American does not carry a fire arm on their person at all times and even if so most of us aren't trained to handle the fear of having a gun pointed in our direction. You're making a lot of assumptions here about how one person would commit an armed robbery if all they had were an assult or hunting rifle. Most would opt to conceal their idenity rather than possess a weapon. You also put a lot of faith in Law Enforcement, which is nowhere near adept at solving violent crimes as they would lead you to believe on TV. 

D. Perhaps you're right about that, but once again read point B. You have to realize, as a Candian, what you see about America is heavily sensationalized and limited to very small parts of this country. Like I said I've lived in every state in the South (on the east coast) and now live in Washington DC. I've never once felt threatened by a citizen and this is a pretty diverse neighborhood. 

E. Different cultures, different results. You aren't instilled from birth with the same sense of personal Liberty and individualism that we are. They take something away from you, you say oh well, they take it away from us and organized crime on a level this country had never seen rose. You have to consider the people and the values. You'd only be putting those items in worse peoples hands. Who would you rather have access to weapons, someone like me who keeps his responsibliy locked away in a box in his home, or some drug cartel who just realized they could get even richer because now certain classes of civilian firearms are now banned? 

Also you have to consider the politics of this society. Most of us are very weary of our government and do not want them interfering in our personal buisness or telling us how to conduct ourselves, which points to the sense of Liberty I defined earlier. Also consider that most of us want large scale law enforcement operations minimized, largely because of the cost to the tax payer, and its ineffectiveness at stopping the actual problems in this country, The War on Drugs being a great example of that. 

Lastly, gun ownership is an idea perpetuated on the idea that other people own guns and therefore I should own one, so I understand why it may be non-sensical to someone like you who probably lives in a society where only Law Enforcement can possess weapons. Once again I point to Asian countries where personal gun ownership has never been an issue, because its always been prohibited, where as in this country has been glorified and most likely always will be.

F. Once again heavy assumptions about American culture. Cops do not heavily patrol gang riddled neighborhoods like you see on TV. A gang fight occurs and cops do the smart thing, duck and get out of the way until the bullets stop flying. More often than not, fully automatic weapons are involved in these as well, so the idea that gangs don't already use these in large scale fights is absurd in and of itself.

Once again different cultures have to be handled differently to keep them stable. Remember that whole ridiculous idea that the USA should blanket the Middle East in Democracy to fix all their problems? How well did that work out? 

Lastly, I won't look for a study showing which weapon has the best chance of preventing a rape because statistically the idea that anyone will be raped in a dark alley by an unknown assailant is absurdly low (I think it was less than 9% of rapes occur in this condition where the total number of rapes is only around 81k in a population density of 313 million people.) Most rapes occur in the same fashions that most murders occur, by someone known to the vicitim.

This is fun! Your turn!



-- Nothing is nicer than seeing your PS3 on an HDTV through an HDMI cable for the first time.

sc94597 said:
the2real4mafol said:

 

i'm surprised at the little difference between Obama and Romney, that is actually little difference according to the chart

 


Like I said, most topics are restricted in American (and European) politics. Hence they tend to remain in the Authoritarian Right. The U.S doesn't have a true left, and even Obama isn't socialist he's just trying to appease the poor with a welfare-state (which isn't anywhere near socialism.) Most normal people (non politicians) on the otherhand, don't even approach the Authoritarian Right. 

Yeah i would of said Obama is just a liberal (Centre-right), but pretty much sides with the Right on economy and FP. While, there are only some differences between him and the right on social matters and some other things like environmental policy. I knew already that there is hardly a "American left" (or even a "European left" really) anymore, i'm glad someone else acknowledged it. 



Xbox One, PS4 and Switch (+ Many Retro Consoles)

'When the people are being beaten with a stick, they are not much happier if it is called the people's stick'- Mikhail Bakunin

Prediction: Switch will sell better than Wii U Lifetime Sales by Jan 1st 2018

the2real4mafol said:

Yeah i would of said Obama is just a liberal (Centre-right), but pretty much sides with the Right on economy and FP. While, there are only some differences between him and the right on social matters and some other things like environmental policy. I knew already that there is hardly a "American left" (or even a "European left" really) anymore, i'm glad someone else acknowledged it. 


I think it's clear that after the Cold War and the collapse of the Soveity Union a realy "left" won't catch traction for a while. I'm slightly right-winged myself though, and I like mixed economies with a capitalist tendency. I think the bigger issue is Authoritarianism though. Go to the website and look at where people like Stalin and Hitler are, and then compare it with Obama, Romney and European countries. Not much of a difference at all. Quite sickening to me.



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sc94597 said:
the2real4mafol said:
 

Yeah i would of said Obama is just a liberal (Centre-right), but pretty much sides with the Right on economy and FP. While, there are only some differences between him and the right on social matters and some other things like environmental policy. I knew already that there is hardly a "American left" (or even a "European left" really) anymore, i'm glad someone else acknowledged it. 


I think it's clear that after the Cold War and the collapse of the Soveity Union a realy "left" won't catch traction for a while. I'm slightly right-winged myself though, and I like mixed economies with a capitalist tendency. I think the bigger issue is Authoritarianism though. Go to the website and look at where people like Stalin and Hitler are, and then compare it with Obama, Romney and European countries. Not much of a difference at all. Quite sickening to me.

I think the damage to the left started as early as Macarthyism and the "red scare" took off back in the 1950's, while the rise of Neo- liberal open market ideas in the 80's (Reagan and Thatcher) and obviously the fall of the USSR finished them off, although the current recession could see the "left" come back possibly in some countries. 

But I agree a mixed economy is best. 

As for actual leaders, you could say Thatcher is not much better than Hitler or Stalin really, while it looks like whether they are a dictator or elected they are all pretty bad. Noticeable leaders like robert mugabe, benjamin netanyahu, the pope, bashar al assad and hu jintao are all up there with Hitler and Stalin. I don't see why they need to be authoritarian though, they should all recognise there power and government power has limits and that they can't try to control and manipulate people's lives like they do 



Xbox One, PS4 and Switch (+ Many Retro Consoles)

'When the people are being beaten with a stick, they are not much happier if it is called the people's stick'- Mikhail Bakunin

Prediction: Switch will sell better than Wii U Lifetime Sales by Jan 1st 2018

By the way... i'd argue a lot of people get farther left then you would expect because they don't make proper use of the 1-7 agreement scales. Seeing "This always means this" and picking 7. Even though it's not so much about your certainty of the statement, but how much you agree with it.

For example "What's good for a company is always good for the people". If you think that what's good for a company is mostly good for the people you'd pick a 5. While most people I think pick 1... because they see the world "always".



Kasz216 said:

Or honestly... hell

http://www.socialresearchmethods.net/kb/statcorr.php


Null Hypothesis: r = 0
Alternative Hypothesis: r <> 0
The easiest way to test this hypothesis is to find a statistics book that has a table of critical values of r. Most introductory statistics texts would have a table like this. As in all hypothesis testing, you need to first determine the significance level. Here, I'll use the common significance level of alpha = .05. This means that I am conducting a test where the odds that the correlation is a chance occurrence is no more than 5 out of 100. Before I look up the critical value in a table I also have to compute the degrees of freedom or df. The df is simply equal to N-2 or, in this example, is 20-2 = 18. Finally, I have to decide whether I am doing a one-tailed or two-tailed test. In this example, since I have no strong prior theory to suggest whether the relationship between height and self esteem would be positive or negative, I'll opt for the two-tailed test. With these three pieces of information -- the significance level (alpha = .05)), degrees of freedom (df = 18), and type of test (two-tailed) -- I can now test the significance of the correlation I found. When I look up this value in the handy little table at the back of my statistics book I find that the critical value is .4438. This means that if my correlation is greater than .4438 or less than -.4438 (remember, this is a two-tailed test) I can conclude that the odds are less than 5 out of 100 that this is a chance occurrence. Since my correlation 0f .73 is actually quite a bit higher, I conclude that it is not a chance finding and that the correlation is "statistically significant" (given the parameters of the test). I can reject the null hypothesis and accept the alternative.


-_-

This is a statistical inference test for a graph. The null hypothesis states that there is no correlation, whereas the alternative hypothesis states that there is. You seem to think that alpha levels are only used in conjunction with r-values, however the point i'm trying to make is that alpha values for determining statistical significance (the original segue for the whole 'disagreement') do not need to have an accompying r-val. An example? Let's say that i have to test data from a sample survey that talks about proportions of married men. You would use an alpha-level in your statistical inference to test the probability of obtaining a sample such as this.

I know I'm right, i'm not sure why i keep responding. -_-



DaHuuuuuudge said:
Kasz216 said:

Or honestly... hell

http://www.socialresearchmethods.net/kb/statcorr.php


Null Hypothesis: r = 0
Alternative Hypothesis: r <> 0
The easiest way to test this hypothesis is to find a statistics book that has a table of critical values of r. Most introductory statistics texts would have a table like this. As in all hypothesis testing, you need to first determine the significance level. Here, I'll use the common significance level of alpha = .05. This means that I am conducting a test where the odds that the correlation is a chance occurrence is no more than 5 out of 100. Before I look up the critical value in a table I also have to compute the degrees of freedom or df. The df is simply equal to N-2 or, in this example, is 20-2 = 18. Finally, I have to decide whether I am doing a one-tailed or two-tailed test. In this example, since I have no strong prior theory to suggest whether the relationship between height and self esteem would be positive or negative, I'll opt for the two-tailed test. With these three pieces of information -- the significance level (alpha = .05)), degrees of freedom (df = 18), and type of test (two-tailed) -- I can now test the significance of the correlation I found. When I look up this value in the handy little table at the back of my statistics book I find that the critical value is .4438. This means that if my correlation is greater than .4438 or less than -.4438 (remember, this is a two-tailed test) I can conclude that the odds are less than 5 out of 100 that this is a chance occurrence. Since my correlation 0f .73 is actually quite a bit higher, I conclude that it is not a chance finding and that the correlation is "statistically significant" (given the parameters of the test). I can reject the null hypothesis and accept the alternative.


-_-

This is a statistical inference test for a graph. The null hypothesis states that there is no correlation, whereas the alternative hypothesis states that there is. You seem to think that alpha levels are only used in conjunction with r-values, however the point i'm trying to make is that alpha values for determining statistical significance (the original segue for the whole 'disagreement') do not need to have an accompying r-val. An example? Let's say that i have to test data from a sample survey that talks about proportions of married men. You would use an alpha-level in your statistical inference to test the probability of obtaining a sample such as this.

I know I'm right, i'm not sure why i keep responding. -_-

I never said Alpha levels were only used in conjuction with R levels.  I suggested however that they were used with conjunction and R value.  While you suggested alpha levels have nothing to do with correlation or R Values.   As an example your talking about not seeing anything about correlation with anything in statistical significance.    Essentially I was argueing that squares are rectangles, while you were suggested they aren't.

Considering we are talking about whether the correlation with gun ownership and homicide is significant... I don't see what your perception of the arguement has to do with anything.  Since i would still be correct in terms of the original dataset

This can be seen by the fact that you just needed to invent a whole new data set unrelated to the data at hand to give an example of Cronbach's Alpha.  Which I do know about, do aknowledge exist, and have even used before.  I just don't understand what it has to do with the data at hand.  

To me, it seems like you originally thought tha Cronbach's Alpha was the be all end all of statistical significance.  Or jut thought it was the only use of "Alpha" Ignoring Alpha in regards to Pearsons R... or just not knowing of Pearson R's existence.  (Which is what you'd use in the original dataset in question.)   Which i suppose I could see if you spent a lot of time working for say the Census or the BLS since you might not have a lot of use for Pearson's R.

Though perhaps the whole thing is a misconception on both of our parts about what the arguement was about.  

Though why if this was your arguement you didn't say "What about Cronbach's Alpha?"   or even just link to it... I'm not quite sure.



Kasz216 said:
DaHuuuuuudge said:
Kasz216 said:

Or honestly... hell

http://www.socialresearchmethods.net/kb/statcorr.php


Null Hypothesis: r = 0
Alternative Hypothesis: r <> 0
The easiest way to test this hypothesis is to find a statistics book that has a table of critical values of r. Most introductory statistics texts would have a table like this. As in all hypothesis testing, you need to first determine the significance level. Here, I'll use the common significance level of alpha = .05. This means that I am conducting a test where the odds that the correlation is a chance occurrence is no more than 5 out of 100. Before I look up the critical value in a table I also have to compute the degrees of freedom or df. The df is simply equal to N-2 or, in this example, is 20-2 = 18. Finally, I have to decide whether I am doing a one-tailed or two-tailed test. In this example, since I have no strong prior theory to suggest whether the relationship between height and self esteem would be positive or negative, I'll opt for the two-tailed test. With these three pieces of information -- the significance level (alpha = .05)), degrees of freedom (df = 18), and type of test (two-tailed) -- I can now test the significance of the correlation I found. When I look up this value in the handy little table at the back of my statistics book I find that the critical value is .4438. This means that if my correlation is greater than .4438 or less than -.4438 (remember, this is a two-tailed test) I can conclude that the odds are less than 5 out of 100 that this is a chance occurrence. Since my correlation 0f .73 is actually quite a bit higher, I conclude that it is not a chance finding and that the correlation is "statistically significant" (given the parameters of the test). I can reject the null hypothesis and accept the alternative.


-_-

This is a statistical inference test for a graph. The null hypothesis states that there is no correlation, whereas the alternative hypothesis states that there is. You seem to think that alpha levels are only used in conjunction with r-values, however the point i'm trying to make is that alpha values for determining statistical significance (the original segue for the whole 'disagreement') do not need to have an accompying r-val. An example? Let's say that i have to test data from a sample survey that talks about proportions of married men. You would use an alpha-level in your statistical inference to test the probability of obtaining a sample such as this.

I know I'm right, i'm not sure why i keep responding. -_-

I never said Alpha levels were only used in conjuction with R levels.  I suggested however that they were used with conjunction and R value.  While you suggested alpha levels have nothing to do with correlation or R Values.   As an example your talking about not seeing anything about correlation with anything in statistical significance.    Essentially I was argueing that squares are rectangles, while you were suggested they aren't.

Considering we are talking about whether the correlation with gun ownership and homicide is significant... I don't see what your perception of the arguement has to do with anything.  Since i would still be correct in terms of the original dataset

This can be seen by the fact that you just needed to invent a whole new data set unrelated to the data at hand to give an example of Cronbach's Alpha.  Which I do know about, do aknowledge exist, and have even used before.  I just don't understand what it has to do with the data at hand.  

To me, it seems like you originally thought tha Cronbach's Alpha was the be all end all of statistical significance.  Or jut thought it was the only use of "Alpha" Ignoring Alpha in regards to Pearsons R... or just not knowing of Pearson R's existence.  (Which is what you'd use in the original dataset in question.)   Which i suppose I could see if you spent a lot of time working for say the Census or the BLS since you might not have a lot of use for Pearson's R.

Though perhaps the whole thing is a misconception on both of our parts about what the arguement was about.  

Though why if this was your arguement you didn't say "What about Cronbach's Alpha?"   or even just link to it... I'm not quite sure.

Look, you said statistical significance means that something is proveable, which is false. I corrected you. I seem to be sucked into the Kasz method haha

http://gamrconnect.vgchartz.com/post.php?id=4878899