CBSE Class 12 Sample Paper for 2025 Boards
Question 2
Question 3
Question 4
Question 5 Important
Question 6
Question 7
Question 8 Important
Question 9 Important
Question 10 Important
Question 11
Question 12 Important
Question 13 Important
Question 14
Question 15 Important
Question 16 Important
Question 17
Question 18
Question 19 [Assertion Reasoning] Important
Question 20 [Assertion Reasoning] Important
Question 21 Important
Question 22
Question 23 (A)
Question 23 (B)
Question 24 (A)
Question 24 (B) Important
Question 25 Important
Question 26 Important
Question 27 Important
Question 28 (A)
Question 28 (B)
Question 29 (A) Important
Question 29 (B)
Question 30 Important
Question 31 (A) Important
Question 31 (B)
Question 32 Important
Question 33 Important
Question 34 (A)
Question 34 (B)
Question 35 (A)
Question 35 (B) Important
Question 36 (i) [Case Based]
Question 36 (ii)
Question 36 (iii) (A) Important
Question 36 (iii) (B) Important
Question 37 (i) [Case Based]
Question 37 (ii) Important
Question 37 (iii) (A) Important
Question 37 (iii) (B)
Question 38 (i) [Case Based] Important
Question 38 (ii) Important You are here
CBSE Class 12 Sample Paper for 2025 Boards
Last updated at Dec. 13, 2024 by Teachoo
You saved atleast 2 minutes by viewing the ad-free version of this page. Thank you for being a part of Teachoo Black.
Question 38 (Case Based Questions) Arka bought two cages of birds: Cage-I contains 5 parrots and 1 owl and Cage -II contains 6 parrots. One day Arka forgot to lock both cages and two birds flew from Cage-I to Cage-II (simultaneously). Then two birds flew back from cage-II to cage-I(simultaneously). Assume that all the birds have equal chances of flying. Question 38 (ii) When two birds flew from Cage-I to Cage-II and two birds flew back from Cage-II to Cage-I, the owl is still seen in Cage-I, what is the probability that one parrot and the owl flew from Cage-I to Cage-II? Since we already know that owl is in Cage 1, and then finding probability that one parrot and the owl flew from Cage-I to Cage-II So, We know an event has happened, and now finding probability. Thus, we use Bayes Theorem Let A be the event that “1 parrot & the owl flew from Cage I to Cage II” Let B be the event that “the owl is still in Cage I after the entire process.” We want to find the conditional probability P(A|B) , i.e., the probability that one parrot and the owl flew from Cage I to Cage II, given that the owl is still in Cage I after the entire process. Bayes’ Theorem gives us the formula: P(A|B) = 𝑷(𝑨⋂▒𝑩)/(𝑷(𝑩)) Where: P(B) is the probability that the owl is still in Cage I after the process. P(A ⋂ B) is the probability that one parrot and the owl flew from Cage I to Cage II AND that owl is still in Cage 1 i.e. P(A ⋂ B) is the probability that one parrot and the owl flew from Cage I to Cage II AND owl flew black Let’s calculate both Finding P(B) The total probability that the owl is still in Cage I after the process We calculated this in part (i) P(B) = 𝟑𝟏𝟓/𝟒𝟐𝟎 Finding P(A ⋂ B) P(A ⋂ B) is the probability that one parrot and the owl flew from Cage I to Cage II AND owl flew black This is same as situation 2 The owl flies to Cage II in the first move but returns to Cage I in the second move. Here, Since owl is flying from Cage 1, we choose 1 more bird We choose 1 birds out of remaining 5 birds from Cage 1 Since 2 birds have flown to Cage 2, Cage 2 has 6+2 = 8 birds now Since owl is flying back We choose 1 bird out of remaining 7 birds from Cage 2 Number of ways for Situation 2 = Choosing 1 birds out of remaining 5 birds × Choosing 1 birds out of 7 birds = 5C1 × 7C1 = 5 × 7 = 35 Thus, P(A ⋂ B) = (𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑤𝑎𝑦𝑠 𝑓𝑜𝑟 𝑆𝑖𝑡𝑢𝑎𝑡𝑖𝑜𝑛 2)/(𝑇𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑤𝑎𝑦𝑠) = 𝟑𝟓/𝟒𝟐𝟎 Finding P(A|B) P(A|B) = 𝑷(𝑨⋂▒𝑩)/(𝑷(𝑩)) = (35/420)/(315/420) = 35/315 = 𝟏/𝟗