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2. Shop our favorite deals under $50 from Nordstrom's ... - AOL

   www.aol.com/lifestyle/shop-our-favorite-deals...

   The Nordstrom Anniversary Sale is in full swing and if you haven't shopped yet, there's still time. We combed through more than 5,000 items to find you the best deals under $50 — we're talking ...

3. Early Prime Day deals under $50 — 40+ items to shop right now

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   Brittany Nims. July 12, 2024 at 1:51 PM. Early Prime Day deals under $50 — 40+ items to shop right now. If you weren't aware, there will be loads of deals unveiled across the internet over the ...

4. List of alcohol laws of the United States - Wikipedia

   en.wikipedia.org/wiki/List_of_alcohol_laws_of...

   Persons 18 years of age or older may work in bars and liquor stores serving and selling alcohol. Patrons may not purchase for on premises consumption more than 50 ounces of beer, 1 liter of wine or 4 ounces of distilled spirits at one time. [ 18] DUI penalties are some of the most severe in the nation.

5. Reduce puffiness and dark circles with these Amazon ... - AOL

   www.aol.com/lifestyle/reduce-puffiness-and-dark...

   Dermora Golden Glow Under-Eye Patches, 20 Pairs. $6 $13. Save $7 with code. With real gold and ingredients including tea tree oil, glycerin, castor oil and collagen, these patches promise to ...

6. Coupon collector's problem - Wikipedia

   en.wikipedia.org/wiki/Coupon_collector's_problem

   Coupon collector's problem. In probability theory, the coupon collector's problem refers to mathematical analysis of "collect all coupons and win" contests. It asks the following question: if each box of a given product (e.g., breakfast cereals) contains a coupon, and there are n different types of coupons, what is the probability that more ...

7. Central limit theorem - Wikipedia

   en.wikipedia.org/wiki/Central_limit_theorem

   The scaled sum of a sequence of i.i.d. random variables with finite positive variance converges in distribution to the normal distribution. In probability theory, the central limit theorem ( CLT) states that, under appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution.