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2. Coupon collector's problem - Wikipedia

   en.wikipedia.org/wiki/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 than t boxes need to be bought ...

3. Standard deviation - Wikipedia

   en.wikipedia.org/wiki/Standard_deviation

   The bias decreases as sample size grows, dropping off as 1/N, ... 1 / 15 787: 4.417 173 σ: 99.999% 0.001% ... it is possible to calculate the resulting sample mean ...

4. 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.

5. Supplemental Nutrition Assistance Program - Wikipedia

   en.wikipedia.org/wiki/Supplemental_Nutrition...

   The amount of SNAP benefits received by a household depends on the household's size, income, and expenses. For most of its history, the program used paper-denominated "stamps" or coupons —worth $1 (brown), $5 (blue), and $10 (green)—bound into booklets of various denominations, to be torn out individually and used in single-use exchange.

6. 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.

7. Probability-proportional-to-size sampling - Wikipedia

   en.wikipedia.org/wiki/Probability-proportional...

   In survey methodology, probability-proportional-to-size (pps) sampling is a sampling process where each element of the population (of size N) has some ( independent) chance to be selected to the sample when performing one draw. This is proportional to some known quantity so that . [1] : 97 [2]