Not mutually exclusive events Example: if the chance of having diabetes is 10% and the chance of being obese is 30%, the chance of meeting someone who is obese or has diabetes or both is (0.1+0.3)-0.1x0.3=0.37 I have question: What is the difference between examples above? Why in ...
I draw a card from the deck, and it is either black, or it is a queen. The two outcomes are "black" and "queen." the are not mutually exclusive, because there are two cards that are both blackandqueens. For each scenario below, state whether the outcomes are mutually exclusive or n...
mutually exclusiveadj.互斥的(2)independentadj.独立的; 自治的; 有主见的不愿受约束的; 不受控制的不依赖他人为生的; 富裕得无需为生计操劳的单独的; 不接受外援的; 不承担义务的无党派的[Independent ]【宗】独立派的【语】主要的【数】无关的; 独立的an independent thinker 独立思考者; 有独特见解的...
The complement(补,对立) of an event A, denoted byA^c(or A′), is the set of all outcomes in S that are not contained in A. The union(并,和) of two events A and B, denoted by A∪B and read “A or B,” is the event consisting of all outcomes that are either in A or i...
If two events are mutually exclusive, the probability that they both will occur at the same time is :() A. 0.50. B. 1.00. C. 0.00. 相关知识点: 试题来源: 解析 C If two events are mutually exclusive, it is not possible to occur at the same time. Therefore, the P (A∩B) =0...
Now from what I gather, mutually exclusive events are those that are not dependent upon one another, correct? If that's the case then they are not mutually exclusive since P(A) + P(B) does not equal P(A U B). If it was P(A U B) = 0.80 only then it would have been considere...
我们可以举个反例,给定 \Omega=\{1,2,3,4\},\mathcal{L}=\{\{1,2\}, \{2,3\}, \{3,4\}, \{1,4\},\{1,2,3,4\},\emptyset\} ,容易验证 \mathcal{L} 是一个 \lambda -system,但是显然由于 \{1,2\}\bigcup \{2,3\}=\{1,2,3\}\notin \mathcal{L} ,因此 \mathcal{...
可能性(概率)-Probability Functionalsafety Probabilitymultiplication PDUPDDPDUPDDPSUPSDPSUPSD 诊断覆盖率DC 诊断覆盖率DC A 共因系数b B A 共因系数b B PFD=PD(A∩B)=PD(A)*PD(B)PFS=PS(A∪B)=PS(A)+PS(B)-PD(A)*PD(B)©ABB-Page1 PFD=PD(A∩B)=PD(A)+PD(B)–PD(A∩B)Functional...
set and is any two probability is not zero mutually exclusive event, then the following conclusion is definitely correct (). (A) and mutual exclusion (B) and non mutual exclusion (C) (D) 5. to two random events, and then the following formula is correct (). (A) (B) (C) (D) 6...
Two central concepts in probability theory are those of "independence" and of "mutually exclusive " events and their alternatives. In this article we provide for the instructor suggestions that can be used to equip students with an intuitive, comprehensive understanding of these basic concepts. Let...