President OBAMA 50% Romney 48 in CNN Poll, Thursday NOV 1 COLORADO

[Tenleytown]

"As in most swing states, there is a fairly big gender gap, with the CNN poll indicating Romney ahead among men by 10 points and Obama winning women by 13 points. Income is also an important indicator, with the president holding a big lead among lower-income voters, while voters with more than $50,000 in income last year are tied at 49% for Romney and 49% for Obama.

"But the key may be the split between the Denver area and the rest of Colorado, with the suburbs throughout the state likely to determine the winner," said CNN Polling Director Keating Holland.

According to the survey, Obama beats Romney by nearly two to one in the two big urban Democratic strongholds of Denver and Boulder. In the Denver suburbs (Adams, Arapahoe, Jefferson and Broomfield counties), Obama's support drops but he still holds a 53%-45% margin over Romney."

http://politicalticker.blogs.cnn.com/2012/11/01/cnn-poll-tight-race-in-rocky-mountain-battleground-

[Tenleytown]

1. ...seems to me..

that if you have that big gender gap--kill in Denver and suburbs plus Latino --Obama wins....

[snacker]

2. Whose bright idea was it to...

let men vote????

[yellowcanine]

3. Need to indicate that this is Colorado in the thread title......

I thought it was a national poll at first.

[Tenleytown]

5. thanks

done

[VirginiaTarheel]

4. Colorado Poll

[WI_DEM]

6. Good to see.

[kansasobama]

7. Just need a good job report tomorrow and....

We will be on the way to a 300+ win with 1.5%-2% popular vote.

I am praying. Just one report......

[kerouac2]

8. 50 to 48 with a 3-5% margin means it can be as wide as 55 to 43 for Obama, right?

Right? Both numbers can be within 3-5 points. So romney can have a range of 43 to 53 and Obama can have a range of 45 to 55, according to the poll.

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The terms "statistical tie" and "statistical dead heat" are sometimes used to describe reported percentages that differ by less than a margin of error, but these terms can be misleading.[9][10] For one thing, the margin of error as generally calculated is applicable to an individual percentage and not the difference between percentages, so the difference between two percentage estimates may not be statistically significant even when they differ by more than the reported margin of error. The survey results also often provide strong information even when there is not a statistically significant difference.