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What about all of those who didn't vote? How do they feel? See, that's what you have to prove, otherwise your inference that LIers are OK with the education costs is wrong.
Duh, you must accept that those who didn't vote abstained, thus stating their ambivalence and acceptance of the outcome. That's the way it works. People have the right not to vote. You don't get to speak for them. They spoke with their absence. That's part of the game.
Yes, and your copy and paste job fits perfectly in the scenario of whether a vote (sample) is statistically significant to estimate the population value.
Actual attitude and estimated attitude are not what is meant by the relationship between two variables. They are the same variable measured to ways. What is meant by the definition is, say, measuring the likelihood of being Catholic and voting for Democrats. Those two variables can be shown to co-relate. With a large enough sample - though not too large - you can guess with a conventional percentage of probability that the findings are significant - that the strength of the relationship between the two variables in your measurement accurately estimate the relationship between the two variables in reality.
Let's Post Positive Things About Teachers!
Didn't everyone learn growing up that if you don't have something nice to say about someone, don't say anything at all? My Mother taught me that & emphasized it throughout her life.
This thread was started for the express purpose of saying something NICE.
If you don't want to do that, go take your negativity elsewhere. There are forums for that.
Dumb argument. All elections are considered to be reflective of the electorate (ie "reflect the voters feelings"). That's the basis for democracy. The only ones who take the "sun was in my eyes" or "it was raining" tact are the pollsters or consultants for the ones who lose.
Reflective of the voters versus reflective of the public are 2 differenent things. Read the rest of the posts before you post, you are far behind.
Actual attitude and estimated attitude are not what is meant by the relationship between two variables. They are the same variable measured to ways. What is meant by the definition is, say, measuring the likelihood of being Catholic and voting for Democrats. Those two variables can be shown to co-relate. With a large enough sample - though not too large - you can guess with a conventional percentage of probability that the findings are significant - that the strength of the relationship between the two variables in your measurement accurately estimate the relationship between the two variables in reality.
This babble is meaningless. You cannot understand how a sample, if statisically significant can reflect the population and that is your deficiency. This is over guy.
This babble is meaningless. You cannot understand how a sample, if statisically significant can reflect the population and that is your deficiency. This is over guy.
I may not be following correctly but are you seriously saying that those who voted are just a sample?
Duh, you must accept that those who didn't vote abstained, thus stating their ambivalence and acceptance of the outcome. That's the way it works. People have the right not to vote. You don't get to speak for them. They spoke with their absence. That's part of the game.
That's the way it works in terms of the vote, duh. That doesn't mean the vote reflects public sentiment - there are too many factors to consider and that analysis is leaps and bounds beyond your level of intelligence.
I may not be following correctly but are you seriously saying that those who voted are just a sample?
If you aren't intelligent enough to follow the convo I'm not doing to dumb down all of my statements to make up for your deficiency.
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