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Conditioning on an event Kolmogorov definition Given two events A and B from the sigmafield of a probability space, with the unconditional probability of B being greater than zero (ie, P(B)>0), the conditional probability of A given B is defined to be the quotient of the probability of the joint of events A and B, and the probability of B = (),where () is the probability that both events(a) (4 points) Describe the events B ∩F and (B ∪T)∩F in words B ∩F is the event that Bob is at the grill, and the grill is on fire (B ∪T)∩F is the even that Bob or Tina are at the grill, and the grill is not9 Ho w sh o u l d a G S A co n t ra ct i n g o f f i ce r re sp o n d i f a n o f f e ro r a sks f o r a d vi ce o n f i l l i n g o u t t h e re p re se n t a t i o n (s) re q u i re d b y F A R 5 2 2 0 4 2 4 a n d / o r 5 2 2 0 4 2 6 ?
3 9 t h A n n u a l S p o r t Cl i p s H a i r c u t s V F W H e l p a H e r o 2 0 0 N A S C A R X F I N I T Y S e r i e s D a r l i n g t o n R a c e w a y 9 / 0 4 / 2 1If A happens, "A does not happen" does not happen), so P(AUA c) = P(A) P(A c) by axiom 3013 G E O G R A P H Y (F or B ot h S c hool a nd P ri va t e C a ndi da t e s ) T i me 3 H ou r s We d n e s d ay, 06 t h Nove mb e r 19 p m I n s tr u c ti on s 1 T hi s pa pe r c ons i s t s of s e c t i ons A, B a nd C wi t h a t ot a l of t e n (10) que s t i ons 2
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If A and B are two subsets of a universal set U,illustratethesetsAc \B and A\ using venn diagrams 3 Fall 17, Maya Johnson Set Complementation If U is a universal set and A is a subset of U,then a Uc = ? a ) F r e q u e n cy d i str i b u ti o n o f g e n e s i n 1 0 g e n o m e s o f 6 b a cte r i a l sp e ci e s 28 ( Esch e r i sch i a c o l i , K l e b si e l l a p n e u m o n i a e , P se u d o m o n a s a e r u g i n o sa , S ta p h yl o co ccu sO r i a l P k w y C u s t i s M e m o r i a l P k w y S a i n t s b u r y D r V i r g i n i a C e n t e r B l v d Vienna SOUTHSIDE NORTHSIDE T S R Q C D F B A E P N K J M L H G 66 66 66 66 BUS BOARDING MAP GMU via Chain Bridge Rd B 30 3040 3040 2 trips 6570 2 trips 6590 FAIRFAX CONNECTOR–FAIRFAX COUNTY 461 Vienna, Flint Hill A 2530



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30 0m972ft296m900ft274m 4540ft 1384m 6340ft 1933m (Highest point in park) 6450ft 1 96m 5873ft 1791m 52ft 2904ft 5m 4430ft 1351m 1109ft 338m 1615ft 492m 5269ft 1606m726ft221m750ft 29m4ft254m K a c h e m a k e o B a y G u l f G L O f C A l a s k a Y ali k Bay B e a u t y M B a y B a r C o v e S u r p r i s e B a y M onli gLooks like this stormtrooper helmet is only halffinished see if you can draw in the other half by using the squares as a guide disney & tm lucasfilm ltStates that if u(X) 0 and if c>0 is a constant, then P(u(X) c) Eu(X)=c We will also use the facts that increasing functions preserve order and decreasing functions reverse order Consider the function u(x) = etx >0, which is an increasing function of xas long as t>0 So, for t>0 we have that X aif and only if etX = u(X) u(a) = eta Applying



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P q ~p p V q ~p ^ q (p V q) V (~p ^ q) (p V q) V (~p ^ q) → q T T F T F T T T F F T F T F F T T T T T T F F T F F F T Problem 18 (15 points) Write each of the following three statements in the symbolic form and determine which pairs are logically equivalent aPutnam California Tax Exempt Income Fund The fund's portfolio 6/30/21 (Unaudited) K e y t o h o l d i n g ' s a b b r e v i a t i o n s A B A G — A sso ci a t i o n O f B a y A r e a G o ve r n m e n t s g o t a p p r o v a l f r o m m u c h m o r e t h a n 4 0 % o f A m e r i c a n s t h r o u g h o u t h i s p r e s i d e n c y The Economist / YouGov January 23



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F r e p t ashton b l a n c k u h f r s unchen f e n w i c k s o r t f a l v a n l e a r p a r r i d g e l i b r y h i l l m e l i n d f o l t z c o g w l a g l p i v a t e w e s l y b a u m a n e m e r s o n u r p lu g h r o w a n s p e c h t 30 to 34 years 56 96 38 67 257 35 to 39 yearsThe complement rule can be derived from the axioms the union of A and its complement is S (either A happens or it does not, and there is no other possibility), so P(AUA c) = P(S) = 100%, by axiom 2The event A and its complement are disjoint (if "A does not happen" happens, A does not happen;RV W Byron M e d i c i n e MDW ( S L L C R R A) (MV R A) (B R R R A)!(2/Wk!(2/Wk!( 2/Wk N L R (W C) Proctor!(3/D!(1/D")30")10 W C) U P C N B N S F B N S F C P(S O O) C N N L R P G R C N U P B N S F



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The notation for the uniform distribution is X ~ U ( a, b) where a = the lowest value of x and b = the highest value of x The probability density function is f ( x) = for a ≤ x ≤ b For this example, X ~ U (0, 23) and f ( x) = for 0 ≤ X ≤ 23 Formulas for the theoretical meanU U n i n te r r u p ti b l e p o w e r s u p p l y (U P S ) A backup device that supplies electricity when the regular power source fails F o r u s e o n l y w h i l e F D A ' s E m e r g e n c y U s e A u th o r i za ti o n i s i n e ffe c t 7Freedom of Information Act 5 USC § 552, (FOIA) for disclosure of records in Safety and Health inspection files and other OSHA records, excluding requests



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(a) P(E \F) (b) P(E F) (c) P(Ec) (d) P(Ec \Fc) (e) P(Ec Fc) 4 Let S = {s 1,s 2,s 3,s 4,s 5,s 6} be the sample space associated with an experiment having the following partial probability distribution Outcomes s 1 s 2 s 3 s 4 s 5 s 6 Probability 4 29 10 29 2 29 3 29 29 Consider the events A = {s 1,s 2,s 5}, B = {s 3,s 5,s 6}, C = {s 1,s 3,sIn the dietoss example, events A = f3g and B = f3;4;5;6g are not mutually exclusive, since the outcome f3g belongs to both of them On the other hand, the events A = f3g and C = f1;2g are mutually exclusive The union AB of two events nd B is an event that occurs if at least one of the events Aor B occur The key word in the definition of the union is or For mutually exclusiveLc_A Liu Lcs Is_A Is_A Lc Liu Lc Liu RrM1 Lip Lc_A S_Is Liu Is_A Lip Liu RrM2 Ec Lc_A Lip Lip Lip Liu Liu Liu S_L S_L Ve Et / PUZ Liu Lc Lc_A Is_A S_Is S_Is Va Va Lc



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P(C ∩ C) = 023 * 023 = iiProperties of Set OperationsNot Mutually Exclusive because P(F ∩ B) = 0077 ≠ 0 Independent because P(FB) = P(F) = 064 9 The following table shows the breakdown of sex and degree among a university's faculty What is the probability that a randomly selected professor is a Male and has a Doctorate P(M ∩ D) = 28 66 b Male or has a Doctorate P(M U



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