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  2. Swoosh - Wikipedia

    en.wikipedia.org/wiki/Swoosh

    Swoosh. The Swoosh is the logo of American sportswear designer and retailer Nike. Today, it has become one of the most recognizable brand logos in the world, and the most valuable, having a worth of $26 billion alone. [ 1][ 2] Bill Bowerman and Phil Knight founded Nike on January 25, 1964, as Blue Ribbon Sports (BRS).

  3. Early life and career of Joe Biden - Wikipedia

    en.wikipedia.org/wiki/Early_life_and_career_of...

    Sign at the childhood home of Joe Biden in Scranton. Biden was born on November 20, 1942, at St. Mary's Hospital in Scranton, Pennsylvania, [5] to Catherine Eugenia "Jean" Biden (née Finnegan) [6] and Joseph Robinette Biden Sr. [7] He was the first of four siblings in a Catholic family, with a sister, Valerie, and two brothers, James and Frank, following. [8]

  4. Here are the 7 US cities with the lowest average Social ... - AOL

    www.aol.com/finance/7-us-cities-lowest-average...

    A $6,000 annual investment at 10% over 30 years would leave you with a $986,981.59 nest egg, while the same investment at 7% would turn into just $566,772.33. ... and you can book a free, ...

  5. Elon Musk's daughter, who is transgender, says her ... - AOL

    www.aol.com/news/elon-musks-daughter-transgender...

    Vivian Jenna Wilson, the transgender daughter of Elon Musk, said in her first interview that he was an absent father who was cruel to her as a child for being queer and feminine. Wilson, 20, in an ...

  6. Xbox gifts cards are 10 percent off on Amazon - Engadget

    www.engadget.com/microsoft-xbox-gift-card-sale...

    Many values of Xbox cards are 10 percent off right now, meaning you can get $100 for only $90, $50 for $45, $30 for $27, $10 for $9 and so forth. Almost all of these sale prices are all-time lows ...

  7. Variance - Wikipedia

    en.wikipedia.org/wiki/Variance

    Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value. It is the second central moment of a distribution, and the covariance of the random variable with itself, and it is often represented by , , , , or .

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