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Margin of Error

Our Calculated Error May Differ from a Pollster's Reported MoE

This can be due to weighting or complex features of the sampling design that required alternative calculations for the standard error. There are also varieties of means of calculating the margin of error, such as the maximum margin of error which is associated with p=50% or as we calculate p as the support of the candidate with the highest percentage in the poll. Since candidates' support will change from poll to poll, the MoE's will change as well. Pollsters may choose to have a standard formula to keep their MoE consistent between polls.

How it is Calculated

The margin of error reported with poll results is what is considered the 95% confidence level range. Meaning a pollster has a 95% confidence that the true measurement lies within the margin of error.

The standard error equation is shown below.

Standard error = \sqrt{\frac{p(1-p)}{n}}, where p represent the support level of the poll and n is the number of voters polled.

And the 95% confidence interval is 1.96 * (standard error).

The maximum margin of error occurs when p = 50%.

(Maximum) margin of error (95%) = 1.96 × \sqrt{\frac{0.5(1-0.5)}{n}} = \frac{0.98}{\sqrt{n}}

Margin of error at 99% confidence \approx 1.29/\sqrt{n}\,

Margin of error at 95% confidence \approx 0.98/\sqrt{n}\,

Margin of error at 90% confidence \approx 0.82/\sqrt{n}\,

 

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Predicted Electoral Math

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Odds of Winning

tab Obama -230, McCain +160

Senate Races 2008

AL: Sessions vs Figures
AK: Stevens vs Begich
CO: Schaffer vs Udall
IA: Reed vs Harkin
ID: Risch vs Larocco
KS: Roberts vs Slattery
KY: McConnell vs Lunsford
LA: Kennedy vs Landrieu
MA: Beatty vs Kerry
MI: Hoogendyk vs Levin
ME: Collins vs Allen
MN: Coleman vs Franken
MS: Cochran vs Fleming
MS: Wicker vs Musgrove
NC: Dole vs Hagan
NE: Johanns vs Kleeb
NH: Sununu vs Shaheen
NJ: Zimmer vs Lautenberg
NM: Pearce vs Udall
OK: Inhofe vs Rice
OR: Smith vs Merkley
SD: Dykstra vs Johnson
TX: Cornyn vs Noriega

VA: Gilmore vs Warner

 

Polls We Have Conducted...

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tab CA: Prop 98 & 99
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tab CA: General Election

Useful History

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proloyProloy "Paul" Bhatta
M.S. Engineering; UCLA

david charles terrDavid Terr
Ph.D. Math; Berkeley
joseph hunterJoseph Hunter
High School Intern from Michigan

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One of the biggest perturbations of Random Digit Dialing polling (RDD) is the accidental calling of business phone numbers. So we track these numbers and report to you the prefixes within each area code most likely to be reserved for business use.

Business Listings By Area Code: 201, 202, 203, 205, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 225, 228, 229, 239, 240, 248, 250, 251, 252, 253, 256, 260, 262, 267, 269, 270, 281, 283, 301, 302, 303, 304, 305, 307, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 323, 325, 330, 334, 336, 337, 347, 352, 353, 360, 361, 386, 401, 402, 404, 405, 406, 407, 408, 409, 410, 412, 413, 414, 415, 417, 419, 423, 425, 432, 434, 435, 440, 443, 469, 478, 479, 480, 484, 501, 502, 503, 504, 505, 507, 508, 509, 510, 512, 513, 515, 516, 517, 518, 520, 530, 540, 541, 559, 561, 562, 563, 570, 571, 573, 574, 580, 585, 586, 601, 602, 603, 605, 606, 607, 608, 609, 610, 612, 614, 615, 616, 617, 619, 623, 626, 630, 631, 636, 641, 646, 650, 651, 660, 661, 662, 678, 682, 701, 702, 703, 704, 706, 707, 708, 712, 713, 714, 715, 716, 717, 718, 719, 720, 724, 727, 731, 732, 734, 740, 757, 760, 763, 765, 770, 773, 774, 775, 781, 785, 786, 787, 800, 801, 802, 803, 804, 805, 806, 808, 810, 812, 813, 814, 815, 816, 817, 818, 830, 831, 832, 843, 845, 847, 850, 856, 857, 858, 859, 860, 863, 864, 865, 866, 870, 877, 888, 901, 903, 904, 906, 907, 908, 909, 910, 912, 913, 914, 915, 916, 917, 918, 919, 920, 925, 928, 931, 936, 937, 940, 941, 949, 951, 952, 954, 956, 970, 971, 972, 973, 978, 979, 980, 985, 989.

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