Students and Teachers Forum
Let K be the events of getting king cards and N be the events of getting non-king cards. Then, Number of king cards n(K) = 4 Number of non-king cards n(N) = 48 Total .....
Solution: Let R, W and B be the event of getting red, white and blue balls respectively. No. of red balls, n(R) = 5 No. of white balls, n(W) = 7 No. of blue balls, n(B) = 10 .....
Let E be that Nepal does not wins a football match. ∴ P(E) = 23 P(E)ˈ = 1 - 23 = 13. The Probability that Nepal lose all the three matches .....
Here, No. of white balls = 6 No. of black balls = 5 Total no. of balls = 6 + 5 .....
Let, B = black pen, Y = yellow pen and W = white pen Then, n(B) = 5, n(Y) = 3 and n(W) = 2. Probability of an ace card, P(A) = 452 Probability of a non-face .....
Let, B = black andW = white Then, n(B) = 3 and n(W) = 2 Probability of a white ball, P(B) = 35 Probability of a green ball, P(W) = 25 Tree-diagram: This is the case of dependent event. a) Probability that both balls are of same color, .....
Let, R and B denote the events of getting a ball of red and a ball of blue respectively. Then, the tree diagram is as shown in .....
Let, B = boys and G = girls Then, n(B) = 1 and n(G) = 1 Tree-diagram: This is the case of independent event. Probability of a boy, P(B) = 12 Probability of a girl, P(G) = 12 a) Sample space: {BB, BG, GG, GB}. b) Probability that both .....
Let , H = head and T = tail. Tree-diagram: This is the case of independent event. Probability of a head, P(H) = 12 Probability of a tail, P(T) = 12 Sample space : {HH, HT, TH, .....
Let , B = black pen, Y = yellow pen and W = white pen. Then, n(B) = 1, n(Y) = 1 and n(W) = 1. Tree-diagram: This is the case of dependent events. From the tree diagram, P(first white pen) = P(WB) or P(WY) .....
Here, Sample space, S = {7, 8, 9, 10,….., 27} Set of prime numbers, A = {7, 11, 13, 17, 19, 23} Set of even numbers, B = {8, 10, 12, 14, 16, 18, 20, 22, 24, 26} The probability of getting a prime or even is given by, .....
Let H and T be the event of getting head and tail respectively. Tree-diagram: Here, Outcomes Probabilities (H, H) .....
Here, Total number of cards, n(S)=52 Number of kings, n(K) = 4 Number of aces, n(A) = 4. Now, probability of the getting a king or an ace is given by, P(K or .....
Let, B = black balls and W = white balls. Then, n(B) = 5 and n(W) = 3 This is the case of independent event. Probability of a black ball, P(B) = 58 Probability of a white ball, P(W) = 38 . Tree-diagram: From the tree diagram, P(both black) .....
For a Dice, S1 = { 1,2,3,4,5,6} ∴ n(S1) = 6. Even numbered face = E = { 2,4,6} ∴ n(E) = 3. For a Coin, S2 = { H,T} ∴ n(S2) = 2 n(H) = .....
Possible days = S = { Sunday, Monday, Tuesday, wednesday, Thursday, Friday, Saturday} ∴ n(S) = 7. E = Sunday ∴n(E) = 1. So, Probability that the exam on Sunday = n(E)n(S) .....
Total no. of cards = n(S) = 52 No. of non-face card = n(F') = 40. We know, Probability of getting a non-face card = P(F') = n(F')n(S) .....
Table for outcomes: Possible outcomes = S = { HH,HT,TH,TT} ∴ n(S) = 4. Outcomes with at least one head = H= { HH,HT,TH} ∴ n(H) = 3. Probability of getting at least one head = P(H) = n(H)n(S) .....
In a leap year total number of days is 366. So, there are 52 weeks and 2 days. These two days may be: { Sunday & Monday, Monday & Tuesday, Tuesday & Wednesday, Wednesday & Thursday, Thursday & Friday, Friday .....
Let, B = black pen, Y = yellow pen and W = white pen Then, n(B) = 1, n(Y) = 1 and n(W) = 1 This is the case of dependent events. Tree-diagram: From the tree diagram, P(first white pen) .....
Let A and B be the events of yellow and green balls. Number of yellow balls n(A) = 4 Number of green balls n(B) = 8 Total number .....
Let A be the event of getting 5 on dice and B be the event of not getting 5 on dice. Then, n(A) = 1 n(B) = 5 n(S) = 6. Tree-diagram; Outcomes .....
The set of all the possible outcomes of an experiment is called sample space of the experiment. Example: Sample space when a fair coin is tossed is S = {H, T} . The sample space when a dice is thrown is .....
Two events A and B are said to be mutually exclusive events, if their simultaneous occurrence is not possible. For example, let S = {1, 2, 3, 4, 5, 6} .....
Here, Possible outcomes = 2 So, probability of absent = .....
0 ≤ P(E) ≤ .....
The probability of sure events is .....
Let B be the events of being boys and G be the events of being girls. Then, n(B) = 1, n(G) = 1, n(S) = 2. Tree-diagram: Outcomes .....
Let, R and W denote the events of getting a ball of red and a ball of white respectively. Then, the tree diagram is as shown in figure. From tree diagram, we have, Probability of getting both red = P(RR)= .....
Let, Y, R and B denote the events of getting a ball of yellow, a ball of red and a ball of black respectively. Then, the tree diagram is as shown in figure. Now, Sample space = {(R,Y),(R,B),(Y,R), .....
We have given, A and B are two mutually exclusive events . P(A) = 13 and P(B) = 14. So, P(A ∪ B) = P(A) + P(B) .....
Probability of solving by A, P(A) = 13 . ∴ Probability that A cannot solve P(A)ˈ = 1 - 13 .....
Given: P(A)ˈ = 56 P(A) = 1 - 56 = 16 .....
Here, P (Q) = 35 P(R)= 15, And two events Q and R are mutually exclusive events. i) P (Q ∪ R) = P(Q) + P(R)= 35 + 15 = 45 ii) P (Q∪R)ˈ = 1 - P(Q ∪ R) =1 – 45 = .....
Here, The probability of solving a problem by student A, P(A) = 13 The probability of solving a problem by student B, P (B) = 14. Now, The probability of not solving a problem by student A, P(A)ˈ = 1 - 13 = 23 The .....
Here, Sample space(S) = {2, 3, 4, 5, ……, 33} Set of squared number (A) = {4, 9, 16, 25} Set of cubed number (B) = {8, 27}. Now, the probability of .....
Given, A and B are two independent events, P(A) = 13 and P(B) = 14 . We know, P(A&B) = P(A) . P(B) .....
Let , G = green cap, B = blue cap and W = white cap. Then, n(G) = 1, n(B) = 1 and n(W) = 1. Tree-diagram: This is the case of dependent event. Sample space = {GB, GW, BG, BW, WG, .....
a) Given: P(A) = 0.38 P(B) = 0.16 .....
Let, B = boys and G = girls Then, n(B) = 20 and n(G) = 30. Tree-diagram: This is the case of independent event. Probability of a boy, P(B) = 2050 Probability of a girl, P(G) = 3050 Sample space: {BB, BG, GG, .....
Given: Let A and B be the events of getting 5 on the first dice and even number on the 2nd dice respectively. For the 1st dice n(A) = 1 n(S) = 6 . ∴ Probability of getting 5 on 1st .....
Let, K and K denote the events of getting a king and not getting a king from well-shuffled deck of cards respectively. Then, the tree diagram is as shown in figure. From the tree diagram, We have, probability of .....
Let, B and W denote the events of getting a ball of black and a ball of white respectively. Then, the tree diagram is as shown in figure. From the diagram, Probability of getting both white balls= P(WW) = .....
Solution: Probability of selection of A, P(A) = 16 ∴ Probability of not selection of A, P(A)ˈ = 1 - 16 .....
Here. Total no. of sectors (n) = 8 i. The Probability of the pointer to stop on either 4 or 6 is: (P) = 28 .....
Area of square = 12 .....
Here, d1 = 10cm d2 = 12cm. Area of Rhombus = 12 ⨉ d1 ⨉ d2 = 12⨉ 10cm ⨉ 12cm .....
Given: Rectangle ABCD and parallelogram ABEF are on the same base and between the same parallels AB and DE. To prove: //gm ABEF = Rect. ABCD in area Proof: Statements Reasons In triangles ADF and BCE .....
Given: In ∆ABC, AD is the median. To prove: ∆ABD = ∆ACD in area. Construction: From A, draw EAF // .....
Here, p1 + p2 = 15cm h = 6cm Area = 12 ⨉ h(p1 + p2 ) = 12 ⨉ 6cm ⨉ 15cm = .....