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  2. Shop Mark & Graham's Big Gift Event and save up to 50% off ...

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    Right now, during the Mark & Graham Big Gift Event, you can score up to 50% off select bestselling styles and you can get free shipping and an additional 20% off clearance items when you...

  3. DSW's massive summer sandals sale is here: Get an extra 20% ...

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    For a short time you can get an extra 20% off of women's sandals at DSW with the code SIZZLE at checkout. You'll be able to find discounts on top footwear brands like Steve Madden, Clarks...

  4. 23 Teacher Appreciation Week food deals to show educators and ...

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    Zax Rewardz members who purchase one Boneless Wings Meal will get another for free on May 7 at participating locations while supplies last. Customers can redeem the offer in the Zaxby’s app...

  5. Economy of Malta - Wikipedia

    en.wikipedia.org/wiki/Economy_of_Malta

    Employed people contribute to class one and those are self-employed contribute to class two. There was a gradual increase in pension age in Malta in the 1950s and 1960s; for example, someone who was born in 1953 needs to be 62 years old in order to collect pensions while another person born in 1960 would have to be 64 years old in order to ...

  6. List of highest-income ZIP Code Tabulation Areas in the ...

    en.wikipedia.org/wiki/List_of_highest-income_ZIP...

    v. t. e. The following is a list of the highest-income ZCTAs in the United States. ZCTAs or ZIP Code Tabulation Areas are the census equivalent of ZIP codes used for statistical purposes. The reason why regular ZIP codes are not used is because they are defined by routes rather than geographic boundaries. Thus, they have the tendency to overlap ...

  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 3ss, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

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