Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract We present the results of a large, US$8.9 million campaign-wide field experiment, conducted among 2 million moderate- and low-information persuadable voters in five battleground states during the 2020 US presidential election. Treatment group participants were exposed to an 8-month-long advertising programme delivered via social media, designed to persuade people to vote against Donald Trump and for Joe Biden.
According to Google, the Central Limit Theorem(CLT) states that “under many conditions, independent random variables summed together will converge to a normal distribution as the number of variables increases.” Essentially, CLT says that a distribution of sample means will approximate a normal distribution as the sample size gets larger, regardless of the original distribution.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
