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EPISODE · Nov 2, 2020 · 21 MIN

The statistical science behind polling

from NOVA Presents · host GBH

With so much uncertainty on the eve of the U.S. presidential election, one place we look for clarity is in the numbers. Pollsters learned valuable lessons from the 2016 election results that they’ve applied in the current election cycle to try to yield more accurate predictions. Host Dr. Alok Patel interviews a pollster and a statistician, delving into a brief history of political polling in the U.S, what went wrong in 2016, and how statistical concepts like data weighting and margin of error make all the difference in the accuracy of the poll.Learn more about NOVA and subscribe to our YouTube channel. 

Episode metadata supplied by the publisher feed · Published Nov 2, 2020

What this episode covers

With so much uncertainty on the eve of the U.S. presidential election, one place we look for clarity is in the numbers. Pollsters learned valuable lessons from the 2016 election results that they’ve applied in the current election cycle to try to yield more accurate predictions. Host Dr. Alok Patel interviews a pollster and a statistician, delving into a brief history of political polling in the U.S, what went wrong in 2016, and how statistical concepts like data weighting and margin of error make all the difference in the accuracy of the poll. Learn more about NOVA and subscribe to our YouTube channel.

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How long is this episode of NOVA Presents?

This episode is 21 minutes long.

When was this NOVA Presents episode published?

This episode was published on November 2, 2020.

What is this episode about?

With so much uncertainty on the eve of the U.S. presidential election, one place we look for clarity is in the numbers. Pollsters learned valuable lessons from the 2016 election results that they’ve applied in the current election cycle to try to...

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