# Survey

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2. 1. Occasion A happens with likelihood 0.2. Occasion B happens with likelihood 0.8. In the event that An and B are disjoint (fundamentally unrelated) then (i) p(A and B)=0.16 (ii) p(A or B)=1 (iii) p(A and B)=1 (iv) p(A or B)=0.162. Overlooking twins and other different births, accept children conceived at a healing facility are free occasions with likelihood that an infant is a kid and that an infant is a young lady both equivalent to 0.5. Th

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Slide 1

﻿Audit Probability Random factors Binomial appropriation

Slide 2

1. Occasion A happens with likelihood 0.2. Occasion B happens with likelihood 0.8. On the off chance that An and B are disjoint (totally unrelated) then (i) p(A and B)=0.16 (ii) p(A or B)=1 (iii) p(A and B)=1 (iv) p(A or B)=0.16 2. Disregarding twins and other various births, expect babies conceived at a healing center are autonomous occasions with likelihood that a child is a kid and that an infant is a young lady both equivalent to 0.5. The likelihood that the following 5 infants are young ladies is: (i) 1 (ii) 2.5 (iii) 0.25 (iv) 0.03125 (v) 0.5

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3. In a specific town half of the family units claim a wireless, 40% possess a pager and 20% possess both a mobile phone and a pager. The extent of family units that claim neither a wireless nor a pager is (i) 10% (ii) 30% (iii) 70% (iv) 90% 4. Occasion A happens with likelihood 0.3 and occasion B happens with likelihood 0.4. In the event that An and B are autonomous, we may presume that (i) p(A and B)=0.12 (ii) p(A|B)=0.3 (iii) p(B|A)=0.4 (iv) the greater part of the above

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5. Of all youngsters in an adolescent court, the likelihood of originating from a low pay family was .60; the likelihood of originating from a broken home was 0.5; the likelihood of originating from a low-pay broken home was 0.40 (i) what is the likelihood of originating from a low-wage family or broken home (or both)? (iii) discover the likelihood of originating from a broken home, given that it was a low wage family. Are the two occasions low-pay and broken home autonomous?

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Jane and Tim set up their wedding solicitations without anyone else's input. Jane works quicker and gets ready 80% of the solicitations. However 10% of her solicitations turn out with a few mix-ups. Out of Tim's solicitations, just 1% have botches. (iii) What is the likelihood of a welcome has an oversight in it? (iv) Given that a welcome has a mix-up, what is the likelihood that it has been composed by jane?

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7. A specific college has the accompanying likelihood dispersion for number of courses X taken by seniors in their last semester courses 1 2 3 4 5 6 Probability .05 .10 .30 .40 .10 .05 (i) What is the likelihood that a haphazardly picked senior took no less than 4 courses in the last semester? (ii) what is the likelihood that an arbitrarily picked senior took more than 4 courses in the last semester? (ii) The state of the conveyance of number of courses is: skewed left/skewed right/symmetric however not in the least ringer molded/sensibly chime formed

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8. An unexpected test contains 3 different decision questions. Address 1 has three proposed answers, Question 2 has three recommended replies, and question 3 has two. A totally ill-equipped understudy chooses to pick the appropriate responses at arbitrary. Give X a chance to be the quantity of inquiries that the understudy answers accurately. List the conceivable estimations of X X=0,1,2,3 Find the likelihood appropriation of X. Q1-first is right p(Q1)=1/3 Q2-second is right p(Q2)=1/3 Q3-third is right p(Q3)=1/2

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9. In a specific diversion, a reasonable kick the bucket is hurled. On the off chance that the quantity of spots demonstrating is either 4 or 5 you win \$1, if number of spots indicating is 6 you win \$4, and if the quantity of spots demonstrating is 1,2, or 3 you don't win anything. Give X a chance to be the sum that you win. The normal estimation of X (mean of X) is: i) \$0.00 (ii) \$1.00 (iii) \$2.50 (iv) \$4.00

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10. A little store monitors the number X of clients that make a buy amid the primary hour that the store is open every day. In view of the records, X has the accompanying likelihood: The mean number of clients that make a buy amid the principal hour that the store is open is i) 2 (ii) 2.5 (iii) 3 (iv) 4

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11. 8% of guys are partially blind. An example of 8 men is taken and the number X of individuals that are visually challenged are checked. What is the likelihood to discover 4 individuals that are visually challenged in the specimen? what is the likelihood that no less than 7 individuals in the example are partially blind?