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2. Chipotle’s 50-1 stock split: What investors need to know - AOL

   www.aol.com/finance/chipotle-50-1-stock-split...

   In 2022, for example, Tesla completed a 3-for-1 split, and Amazon did a 20-for-1 split. Even Nvidia’s 10-for-1 split earlier this month seems tame compared to Chipotle’s move.

3. Odds ratio - Wikipedia

   en.wikipedia.org/wiki/Odds_ratio

   An odds ratio ( OR) is a statistic that quantifies the strength of the association between two events, A and B. The odds ratio is defined as the ratio of the odds of A in the presence of B and the odds of A in the absence of B, or equivalently (due to symmetry ), the ratio of the odds of B in the presence of A and the odds of B in the absence ...

4. Chipotle's 50-for-1 stock split just went into effect ... - AOL

   www.aol.com/finance/chipotles-50-1-stock-split...

   June 26, 2024 at 12:14 PM. Chipotle's 50-for-1 stock split takes effect: Key takeaways. /. Loaded 0%. Chipotle ( CMG) investors will notice a difference in their portfolios today. The burrito ...

5. Chipotle's 50-for-1 Stock Split Is Coming. Here's What ... - AOL

   www.aol.com/chipotles-50-1-stock-split-001700758...

   It's done proportionately so that the total value of an investor's portfolio doesn't change. So in the case of Chipotle's 50-for-1 split, each shareholder will be issued 49 additional shares for ...

6. 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 ...

7. Fisher's exact test - Wikipedia

   en.wikipedia.org/wiki/Fisher's_exact_test

   Fisher's exact test is a statistical significance test used in the analysis of contingency tables. [1] [2] [3] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes. It is named after its inventor, Ronald Fisher, and is one of a class of exact tests, so called because the significance of the deviation ...