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  2. San Francisco - Wikipedia

    en.wikipedia.org/wiki/San_Francisco

    San Francisco, [ 24] officially the City and County of San Francisco, is a commercial, financial, and cultural center in Northern California. With a population of 808,437 residents as of 2022, [ 25] San Francisco is the fourth most populous city in the U.S. state of California behind Los Angeles, San Diego, and San Jose.

  3. Illinois - Wikipedia

    en.wikipedia.org/wiki/Illinois

    State route marker. State quarter. Released in 2003. Lists of United States state symbols. Illinois ( / ˌɪlɪˈnɔɪ / ⓘ IL-in-OY) is a state in the Midwestern region of the United States. It borders Lake Michigan to its northeast, the Mississippi River to its west, and the Wabash and Ohio rivers to its south.

  4. 13 sneaky signs your testosterone is too low

    www.aol.com/13-sneaky-signs-testosterone-too...

    1. Low Libido. While medications, relationship struggles, and illness can all make you lose interest in sex, a low sex drive is one of the most common symptoms of low testosterone. A drastic drop ...

  5. Coupon (finance) - Wikipedia

    en.wikipedia.org/wiki/Coupon_(finance)

    Coupon (finance) In finance, a coupon is the interest payment received by a bondholder from the date of issuance until the date of maturity of a bond. [ 1] Coupons are normally described in terms of the "coupon rate", which is calculated by adding the sum of coupons paid per year and dividing it by the bond's face value. [ 2]

  6. Fantasy Baseball Waiver Wire: Wilyer Abreu's volume and stats ...

    www.aol.com/sports/fantasy-baseball-waiver-wire...

    Abreu has been one of baseball’s best hitters since the All-Star break, batting .311 with a 1.063 OPS. And he is well-positioned to stay hot from both a volume and per-game perspective.

  7. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

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