Скачать с ютуб 💯 Probability of Complementary Events, An Ultimate Guide. Watch this video! в хорошем качестве

💯 Probability of Complementary Events, An Ultimate Guide. Watch this video!

💯 Receive Comprehensive Mathematics Practice Papers Weekly for FREE Click this link to get: ▶️▶️▶️ https://iitutor.com/email-list/ ◀️◀️◀️ Free Download Relevant Slides: https://iitutor.com/product-category/... 0:00 Intro 0:52 Question 24 2:16 Question 25 3:52 Question 26 4:55 Question 27 6:34 Question 28 7:30 Question 29 8:29 Question 30 9:14 Question 31 The probability of complementary events refers to the relationship between the probability of an event and the probability that the event does not occur. The probability of a complementary event is given by 1 minus the probability of the original event. Mathematically, if A is an event, then the probability of its complementary event, denoted as A', is given by: P(A') = 1 - P(A) In other words, the sum of an event's probability and its complementary event's probability is always equal to 1. This is because the event and its complementary event make up the entire sample space of the experiment. For example, consider a coin flip. The probability of getting heads is 0.5, and the probability of getting tails is also 0.5. The probability of getting tails is the complementary event of getting heads, so P(Tails) = 1 - P(Heads) = 1 - 0.5 = 0.5. In probability theory, complementary events are used to find the probability of an event by subtracting the probability of the event not occurring from 1. This is often easier than finding the probability of the event directly, especially when the sample space is large or complex.