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  2. Taylor Swift and Travis Kelce Step Out Hand-in-Hand for ... - AOL

    www.aol.com/lifestyle/taylor-swift-travis-kelce...

    It's another date night for Taylor Swift and Travis Kelce!. On Friday, Sept. 6, the couple continued to celebrate the Kansas City Chiefs' big win against the Baltimore Ravens the night prior, as ...

  3. This popular cardigan that is 'slimming and flattering' is ...

    www.aol.com/lifestyle/this-popular-cardigan-that...

    That's why this cardigan is a great choice; it's warm enough to wear throughout fall and winter, but lightweight enough to work as an extra layer on chillier end-of-summer nights. Right now, it's ...

  4. Women's suffrage in the United States - Wikipedia

    en.wikipedia.org/wiki/Women's_suffrage_in_the...

    t. e. Women's suffrage, or the right of women to vote, was established in the United States over the course of the late 19th and early 20th centuries, first in various states and localities, then nationally in 1920 with the ratification of the 19th Amendment to the United States Constitution. [2] The demand for women's suffrage began to gather ...

  5. Kelce Brothers Sign Deal With Amazon’s Wondery for ‘New ...

    www.aol.com/kelce-brothers-sign-deal-amazon...

    Jason and Travis Kelce are kicking off a rich new deal with Amazon’s Wondery, which has exclusive ad-sales and distribution rights to the popular “New Heights” weekly podcast hosted by the ...

  6. Binomial distribution - Wikipedia

    en.wikipedia.org/wiki/Binomial_distribution

    The binomial distribution is frequently used to model the number of successes in a sample of size n drawn with replacement from a population of size N. If the sampling is carried out without replacement, the draws are not independent and so the resulting distribution is a hypergeometric distribution, not a binomial one.

  7. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.

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