Samacheer Kalvi 10th Maths Exercise 8.3 Solutions

10th Maths Exercise 8.3 solutions (Chapter 8 Statistics and Probability) with step-by-step answers for all 29 questions, as per the 2026-27 Samacheer Kalvi textbook.

Answers at a glance28 answers · full steps below
  1. Q1S={HHH,HHT,HTH,HTT,THH,THT,TTH,TTT}S=\{HHH,HHT,HTH,HTT,THH,THT,TTH,TTT\}; n(S)=8n(S)=8
  2. Q3 (i)P(A‾)=1532P(\overline{A})=\dfrac{15}{32}
  3. Q3 (ii)n(A)=340n(A)=340
  4. Q438\dfrac{3}{8}
  5. Q5 (i)91000\dfrac{9}{1000}
  6. Q5 (ii)8999\dfrac{8}{999}
  7. Q6 (i)P(red)=x12+xP(\text{red})=\dfrac{x}{12+x}; with x=4x=4 (from part (ii)) this equals 14\dfrac{1}{4}.
  8. Q6 (ii)x=4x=4
  9. Q7 (i)16\dfrac{1}{6}
  10. Q7 (ii)16\dfrac{1}{6}
  11. Q7 (iii)512\dfrac{5}{12}
  12. Q7 (iv)00
  13. Q8 (i)18\dfrac{1}{8}
  14. Q8 (ii)78\dfrac{7}{8}
  15. Q8 (iii)12\dfrac{1}{2}
  16. Q8 (iv)78\dfrac{7}{8}
  17. Q9 (i)313\dfrac{3}{13}
  18. Q9 (ii)12\dfrac{1}{2}
  19. Q9 (iii)1013\dfrac{10}{13}
  20. Q9 (iv)613\dfrac{6}{13}
  21. Q10Number of defective bulbs =12=12
  22. Q11157600≈0.2617\dfrac{157}{600}\approx 0.2617
  23. Q12 (i)16\dfrac{1}{6}
  24. Q12 (ii)56\dfrac{5}{6}
  25. Q12 (iii)518\dfrac{5}{18}
  26. Q13 (i)18\dfrac{1}{8}
  27. Q13 (ii)34\dfrac{3}{4}
  28. Q13 (iii)18\dfrac{1}{8}

Q1. Write the sample space for tossing three coins using tree diagram.

  1. Each coin can show head HH or tail TT.

  2. Tree: first coin gives 2 branches H,TH,T; each splits into H,TH,T for the second coin; each of those splits again for the third coin.

  3. So 2×2×2=82\times2\times2=8 end branches.

  4. Reading along the branches,

  5. S={HHH, HHT, HTH, HTT, THH, THT, TTH, TTT}S=\{HHH,\,HHT,\,HTH,\,HTT,\,THH,\,THT,\,TTH,\,TTT\}

Answer

S={HHH,HHT,HTH,HTT,THH,THT,TTH,TTT}S=\{HHH,HHT,HTH,HTT,THH,THT,TTH,TTT\}; n(S)=8n(S)=8

Q2. Write the sample space for selecting two balls at a time from …

Write the sample space for selecting two balls at a time from a bag containing 6 balls numbered 1 to 6 (using tree diagram).

Show steps (9)
  1. First ball can be any of 1,2,3,4,5,61,2,3,4,5,6 — 6 branches.

  2. Since two balls are taken at a time, the second ball must be different from the first — each branch splits into 5.

  3. So n(S)=6×5=30n(S)=6\times5=30.

  4. S={(1,2),(1,3),(1,4),(1,5),(1,6),S=\{(1,2),(1,3),(1,4),(1,5),(1,6),

  5. (2,1),(2,3),(2,4),(2,5),(2,6),(2,1),(2,3),(2,4),(2,5),(2,6),

  6. (3,1),(3,2),(3,4),(3,5),(3,6),(3,1),(3,2),(3,4),(3,5),(3,6),

  7. (4,1),(4,2),(4,3),(4,5),(4,6),(4,1),(4,2),(4,3),(4,5),(4,6),

  8. (5,1),(5,2),(5,3),(5,4),(5,6),(5,1),(5,2),(5,3),(5,4),(5,6),

  9. (6,1),(6,2),(6,3),(6,4),(6,5)}(6,1),(6,2),(6,3),(6,4),(6,5)\}

Answer

S={(1,2),(1,3),(1,4),(1,5),(1,6),(2,1),(2,3),(2,4),(2,5),(2,6),(3,1),(3,2),(3,4),(3,5),(3,6),(4,1),(4,2),(4,3),(4,5),(4,6),(5,1),(5,2),(5,3),(5,4),(5,6),(6,1),(6,2),(6,3),(6,4),(6,5)}S=\{(1,2),(1,3),(1,4),(1,5),(1,6),(2,1),(2,3),(2,4),(2,5),(2,6),(3,1),(3,2),(3,4),(3,5),(3,6),(4,1),(4,2),(4,3),(4,5),(4,6),(5,1),(5,2),(5,3),(5,4),(5,6),(6,1),(6,2),(6,3),(6,4),(6,5)\}; n(S)=30n(S)=30

Q3. If AA is an event of a random experiment such that P(A):P(A‾)=17:15P(A) : P(\overline{A}) = 17{:}15 …

If AA is an event of a random experiment such that P(A):P(A‾)=17:15P(A) : P(\overline{A}) = 17{:}15 and n(S)=640n(S)=640 then find

(i)

P(A‾)P(\overline{A}).

  1. Let P(A)=17kP(A)=17k and P(A‾)=15kP(\overline{A})=15k.

  2. P(A)+P(A‾)=1P(A)+P(\overline{A})=1

  3. 17k+15k=1⇒32k=1⇒k=13217k+15k=1\Rightarrow 32k=1\Rightarrow k=\dfrac{1}{32}

  4. P(A‾)=15×132=1532P(\overline{A})=15\times\dfrac{1}{32}=\dfrac{15}{32}

Answer

P(A‾)=1532P(\overline{A})=\dfrac{15}{32}

(ii)

n(A)n(A).

  1. From (i), P(A)=1732P(A)=\dfrac{17}{32}.

  2. P(A)=n(A)n(S)P(A)=\dfrac{n(A)}{n(S)}

  3. 1732=n(A)640\dfrac{17}{32}=\dfrac{n(A)}{640}

  4. n(A)=1732×640=340n(A)=\dfrac{17}{32}\times640=340

Answer

n(A)=340n(A)=340

Q4. A coin is tossed thrice. What is the probability of getting two …

A coin is tossed thrice. What is the probability of getting two consecutive tails?

  1. S={HHH,HHT,HTH,HTT,THH,THT,TTH,TTT}S=\{HHH,HHT,HTH,HTT,THH,THT,TTH,TTT\}; n(S)=8n(S)=8

  2. Let AA be the event of getting two consecutive tails.

  3. A={HTT,TTH,TTT}A=\{HTT,TTH,TTT\}; n(A)=3n(A)=3

  4. P(A)=n(A)n(S)=38P(A)=\dfrac{n(A)}{n(S)}=\dfrac{3}{8}

Answer

38\dfrac{3}{8}

Q5. At a fete, cards bearing numbers 1 to 1000, one number on …

At a fete, cards bearing numbers 1 to 1000, one number on one card are put in a box. Each player selects one card at random and that card is not replaced. If the selected card has a perfect square number greater than 500, the player wins a prize. What is the probability that

(i)

the first player wins a prize?

  1. n(S)=1000n(S)=1000

  2. Perfect squares greater than 500500 and up to 10001000:

  3. 232=529,  242=576,  252=625,  262=676,  272=729,  282=784,  292=841,  302=900,  312=96123^2=529,\;24^2=576,\;25^2=625,\;26^2=676,\;27^2=729,\;28^2=784,\;29^2=841,\;30^2=900,\;31^2=961

  4. Let AA be the event that the first player wins; n(A)=9n(A)=9

  5. P(A)=91000P(A)=\dfrac{9}{1000}

Answer

91000\dfrac{9}{1000}

(ii)

the second player wins a prize, if the first has won?

  1. The first player won, so one winning card is removed and not replaced.

  2. Remaining cards =1000−1=999=1000-1=999; remaining winning numbers =9−1=8=9-1=8

  3. P(second player wins)=8999P(\text{second player wins})=\dfrac{8}{999}

Answer

8999\dfrac{8}{999}

Q6. A bag contains 1212 blue balls and xx red balls. If one …

A bag contains 1212 blue balls and xx red balls. If one ball is drawn at random

(i)

what is the probability that it will be a red ball?

Show steps (6)
  1. Total number of balls n(S)=12+xn(S)=12+x (12 blue and xx red).

  2. Let RR be the event of drawing a red ball, so n(R)=xn(R)=x.

  3. P(R)=n(R)n(S)=x12+xP(R)=\dfrac{n(R)}{n(S)}=\dfrac{x}{12+x}.

  4. This is the required answer in terms of xx; the value of xx is found only in part (ii).

  5. From part (ii): x+820+x=2(x12+x)⇒x2+20x−96=0⇒(x+24)(x−4)=0\dfrac{x+8}{20+x}=2\left(\dfrac{x}{12+x}\right)\Rightarrow x^{2}+20x-96=0\Rightarrow (x+24)(x-4)=0, so x=4x=4 (rejecting x=−24x=-24).

  6. Hence, substituting x=4x=4, the numerical value of the probability in (i) is 412+4=416=14\dfrac{4}{12+4}=\dfrac{4}{16}=\dfrac{1}{4}, which matches the printed answer.

Answer

P(red)=x12+xP(\text{red})=\dfrac{x}{12+x}; with x=4x=4 (from part (ii)) this equals 14\dfrac{1}{4}.

(ii)

If 88 more red balls are put in the bag, and if the probability of drawing a red ball will be twice that of the probability in (i), then find xx.

Show steps (7)
  1. After adding 8 red balls: red =x+8=x+8, total =12+x+8=20+x=12+x+8=20+x

  2. Given, x+820+x=2(x12+x)\dfrac{x+8}{20+x}=2\left(\dfrac{x}{12+x}\right)

  3. (x+8)(12+x)=2x(20+x)(x+8)(12+x)=2x(20+x)

  4. x2+20x+96=2x2+40xx^2+20x+96=2x^2+40x

  5. x2+20x−96=0x^2+20x-96=0

  6. (x+24)(x−4)=0(x+24)(x-4)=0

  7. x=4x=4 (since xx cannot be negative)

Answer

x=4x=4

Q7. Two unbiased dice are rolled once. Find the probability of getting

(i)

a doublet (equal numbers on both dice).

  1. Two dice: n(S)=36n(S)=36

  2. Let AA be the event of getting a doublet.

  3. A={(1,1),(2,2),(3,3),(4,4),(5,5),(6,6)}A=\{(1,1),(2,2),(3,3),(4,4),(5,5),(6,6)\}; n(A)=6n(A)=6

  4. P(A)=636=16P(A)=\dfrac{6}{36}=\dfrac{1}{6}

Answer

16\dfrac{1}{6}

(ii)

the product as a prime number.

  1. Product is prime only when one die shows 11 and the other shows a prime.

  2. B={(1,2),(1,3),(1,5),(2,1),(3,1),(5,1)}B=\{(1,2),(1,3),(1,5),(2,1),(3,1),(5,1)\}; n(B)=6n(B)=6

  3. P(B)=636=16P(B)=\dfrac{6}{36}=\dfrac{1}{6}

Answer

16\dfrac{1}{6}

(iii)

the sum as a prime number.

  1. Possible prime sums are 2,3,5,7,112,3,5,7,11.

  2. C={(1,1),(1,2),(2,1),(1,4),(4,1),(2,3),(3,2),(1,6),(6,1),(2,5),(5,2),(3,4),(4,3),(5,6),(6,5)}C=\{(1,1),(1,2),(2,1),(1,4),(4,1),(2,3),(3,2),(1,6),(6,1),(2,5),(5,2),(3,4),(4,3),(5,6),(6,5)\}

  3. n(C)=15n(C)=15

  4. P(C)=1536=512P(C)=\dfrac{15}{36}=\dfrac{5}{12}

Answer

512\dfrac{5}{12}

(iv)

the sum as 1.

  1. The least possible sum with two dice is 1+1=21+1=2.

  2. So no outcome gives sum 11; it is an impossible event.

  3. n(D)=0⇒P(D)=036=0n(D)=0\Rightarrow P(D)=\dfrac{0}{36}=0

Answer

00

Q8. Three fair coins are tossed together. Find the probability of getting

(i)

all heads.

  1. S={HHH,HHT,HTH,HTT,THH,THT,TTH,TTT}S=\{HHH,HHT,HTH,HTT,THH,THT,TTH,TTT\}; n(S)=8n(S)=8

  2. A={HHH}A=\{HHH\}; n(A)=1n(A)=1

  3. P(A)=18P(A)=\dfrac{1}{8}

Answer

18\dfrac{1}{8}

(ii)

atleast one tail.

  1. 'Atleast one tail' is the complement of 'no tail' i.e. HHHHHH.

  2. P(no tail)=18P(\text{no tail})=\dfrac{1}{8}

  3. P(atleast one tail)=1−18=78P(\text{atleast one tail})=1-\dfrac{1}{8}=\dfrac{7}{8}

Answer

78\dfrac{7}{8}

(iii)

atmost one head.

  1. Atmost one head means 00 head or 11 head.

  2. C={TTT,HTT,THT,TTH}C=\{TTT,HTT,THT,TTH\}; n(C)=4n(C)=4

  3. P(C)=48=12P(C)=\dfrac{4}{8}=\dfrac{1}{2}

Answer

12\dfrac{1}{2}

(iv)

atmost two tails.

  1. Atmost two tails is the complement of 'three tails' i.e. TTTTTT.

  2. P(TTT)=18P(TTT)=\dfrac{1}{8}

  3. P(atmost two tails)=1−18=78P(\text{atmost two tails})=1-\dfrac{1}{8}=\dfrac{7}{8}

Answer

78\dfrac{7}{8}

Q9. A bag contains 5 red balls, 6 white balls, 7 green balls …

A bag contains 5 red balls, 6 white balls, 7 green balls, 88 black balls. One ball is drawn at random from the bag. Find the probability that the ball drawn is

(i)

white.

  1. Total balls n(S)=5+6+7+8=26n(S)=5+6+7+8=26

  2. n(white)=6n(\text{white})=6

  3. P(white)=626=313P(\text{white})=\dfrac{6}{26}=\dfrac{3}{13}

Answer

313\dfrac{3}{13}

(ii)

black or red.

  1. n(black or red)=8+5=13n(\text{black or red})=8+5=13

  2. P=1326=12P=\dfrac{13}{26}=\dfrac{1}{2}

Answer

12\dfrac{1}{2}

(iii)

not white.

  1. P(white)=313P(\text{white})=\dfrac{3}{13}

  2. P(not white)=1−313=1013P(\text{not white})=1-\dfrac{3}{13}=\dfrac{10}{13}

Answer

1013\dfrac{10}{13}

(iv)

neither white nor black.

  1. Neither white nor black means red or green.

  2. n=5+7=12n=5+7=12

  3. P=1226=613P=\dfrac{12}{26}=\dfrac{6}{13}

Answer

613\dfrac{6}{13}

Q10. In a box there are 2020 non-defective and some defective bulbs. If …

In a box there are 2020 non-defective and some defective bulbs. If the probability that a bulb selected at random from the box found to be defective is 38\dfrac{3}{8} then, find the number of defective bulbs.

Show steps (6)
  1. Let the number of defective bulbs be xx.

  2. Total bulbs =20+x=20+x

  3. P(defective)=x20+x=38P(\text{defective})=\dfrac{x}{20+x}=\dfrac{3}{8}

  4. 8x=3(20+x)8x=3(20+x)

  5. 8x=60+3x⇒5x=608x=60+3x\Rightarrow 5x=60

  6. x=12x=12

Answer

Number of defective bulbs =12=12

Q11. Some boys are playing a game, in which the stone thrown by …

Some boys are playing a game, in which the stone thrown by them landing in a circular region (given in the figure) is considered as win and landing other than the circular region is considered as loss. What is the probability to win the game? (π=3.14\pi = 3.14)

A shaded rectangle 4 feet wide and 3 feet tall with a circle inside whose radius is marked 1 feet.
  1. Total region = rectangle of area =4×3=12=4\times3=12 sq.feet

  2. Winning region = circle of radius 11 ft, area =πr2=3.14×12=3.14=\pi r^2=3.14\times1^2=3.14 sq.feet

  3. P(win)=area of circlearea of rectangle=3.1412P(\text{win})=\dfrac{\text{area of circle}}{\text{area of rectangle}}=\dfrac{3.14}{12}

  4. =3141200=157600=\dfrac{314}{1200}=\dfrac{157}{600}

Answer

157600≈0.2617\dfrac{157}{600}\approx 0.2617

Q12. Two customers Priya and Amuthan are visiting a particular shop in the …

Two customers Priya and Amuthan are visiting a particular shop in the same week (Monday to Saturday). Each is equally likely to visit the shop on any one day as on another day. What is the probability that both will visit the shop on

(i)

the same day?

  1. Each can visit on any of 6 days (Mon–Sat).

  2. n(S)=6×6=36n(S)=6\times6=36

  3. Same day: {(M,M),(T,T),(W,W),(Th,Th),(F,F),(S,S)}\{(M,M),(T,T),(W,W),(Th,Th),(F,F),(S,S)\}; n(A)=6n(A)=6

  4. P(A)=636=16P(A)=\dfrac{6}{36}=\dfrac{1}{6}

Answer

16\dfrac{1}{6}

(ii)

different days?

  1. Different days is the complement of same day.

  2. P=1−16=56P=1-\dfrac{1}{6}=\dfrac{5}{6}

Answer

56\dfrac{5}{6}

(iii)

consecutive days?

  1. Consecutive day pairs: (Mon,Tue), (Tue,Wed), (Wed,Thu), (Thu,Fri), (Fri,Sat) — 5 pairs.

  2. Each pair can occur in 2 orders, so n(C)=5×2=10n(C)=5\times2=10

  3. P(C)=1036=518P(C)=\dfrac{10}{36}=\dfrac{5}{18}

Answer

518\dfrac{5}{18}

Q13. In a game, the entry fee is ₹150150. The game consists of …

In a game, the entry fee is ₹150150. The game consists of tossing a coin 33 times. Dhana bought a ticket for entry. If one or two heads show, she gets her entry fee back. If she throws 3 heads, she receives double the entry fees. Otherwise she will lose. Find the probability that she

(i)

gets double entry fee.

  1. S={HHH,HHT,HTH,HTT,THH,THT,TTH,TTT}S=\{HHH,HHT,HTH,HTT,THH,THT,TTH,TTT\}; n(S)=8n(S)=8

  2. She gets double the entry fee only for 3 heads.

  3. A={HHH}A=\{HHH\}; n(A)=1n(A)=1

  4. P(A)=18P(A)=\dfrac{1}{8}

Answer

18\dfrac{1}{8}

(ii)

just gets her entry fee.

  1. She just gets back the entry fee when one or two heads show.

  2. B={HTT,THT,TTH,HHT,HTH,THH}B=\{HTT,THT,TTH,HHT,HTH,THH\}; n(B)=6n(B)=6

  3. P(B)=68=34P(B)=\dfrac{6}{8}=\dfrac{3}{4}

Answer

34\dfrac{3}{4}

(iii)

loses the entry fee.

  1. She loses when no head shows.

  2. C={TTT}C=\{TTT\}; n(C)=1n(C)=1

  3. P(C)=18P(C)=\dfrac{1}{8}

Answer

18\dfrac{1}{8}

Quick check

  1. The probability of getting a job for a person is x3\dfrac{x}{3}. If the probability of not getting the job is 23\dfrac{2}{3} then the value of xx is

    1. (1) 22
    2. (2) 11
    3. (3) 33
    4. (4) 1.51.5
    Show answer

    Answer: (2) 11

    1. P(A)+P(Aˉ)=1P(A)+P(\bar{A})=1

    2. x3+23=1\dfrac{x}{3}+\dfrac{2}{3}=1

    3. x3=13⇒x=1\dfrac{x}{3}=\dfrac{1}{3}\Rightarrow x=1

    Question 1 of 5
  2. The mean of 100100 observations is 4040 and their standard deviation is 33. The sum of squares of all observations is

    1. (1) 4000040000
    2. (2) 160900160900
    3. (3) 160000160000
    4. (4) 3000030000
    Show answer

    Answer: (2) 160900160900

    1. σ2=∑x2n−(xˉ)2\sigma^2=\dfrac{\sum x^2}{n}-\left(\bar{x}\right)^2

    2. 9=∑x2100−16009=\dfrac{\sum x^2}{100}-1600

    3. ∑x2100=1609\dfrac{\sum x^2}{100}=1609

    4. ∑x2=160900\sum x^2=160900

    Question 2 of 5
  3. Which of the following is incorrect?

    1. (1) P(A)>1P(A) > 1
    2. (2) 0≤P(A)≤10 \leq P(A) \leq 1
    3. (3) P(ϕ)=0P(\phi) = 0
    4. (4) P(A)+P(Aˉ)=1P(A) + P(\bar{A}) = 1
    Show answer

    Answer: (1) P(A)>1P(A) > 1

    1. Probability of any event always lies between 00 and 11.

    2. So P(A)>1P(A)>1 is impossible.

    Question 3 of 5
  4. The probability a red marble selected at random from a jar containing pp red, qq blue and r green marbles is

    1. (1) qp+q+r\dfrac{q}{p+q+r}
    2. (2) pp+q+r\dfrac{p}{p+q+r}
    3. (3) p+qp+q+r\dfrac{p+q}{p+q+r}
    4. (4) p+rp+q+r\dfrac{p+r}{p+q+r}
    Show answer

    Answer: (2) pp+q+r\dfrac{p}{p+q+r}

    1. Total marbles =p+q+r=p+q+r; red marbles =p=p.

    2. P(red)=pp+q+rP(\text{red})=\dfrac{p}{p+q+r}

    Question 4 of 5
  5. The range of the data 8,8,8,8,8...88, 8, 8, 8, 8. . . 8 is

    1. (1) 00
    2. (2) 11
    3. (3) 88
    4. (4) 33
    Show answer

    Answer: (1) 00

    1. Largest value =8= 8, smallest value =8= 8.

    2. Range =L−S=8−8=0= L - S = 8 - 8 = 0.

    Question 5 of 5
Chapter 8 formulas
  • Range

    R=L−S(L - largest value, S - smallest value)R = L - S \quad (L\text{ - largest value},\ S\text{ - smallest value})

  • Coefficient of range

    Coefficient of range=L−SL+S\text{Coefficient of range} = \frac{L-S}{L+S}

  • Variance

    σ2=∑i=1n(xi−xˉ)2n\sigma^{2} = \frac{\sum_{i=1}^{n}(x_i - \bar{x})^{2}}{n}

  • Standard deviation

    σ=∑(xi−xˉ)2n\sigma = \sqrt{\frac{\sum (x_i - \bar{x})^{2}}{n}}

  • Standard deviation (ungrouped data) - Direct method

    σ=∑xi2n−(∑xin)2\sigma = \sqrt{\frac{\sum x_i^{2}}{n} - \left(\frac{\sum x_i}{n}\right)^{2}}

  • Standard deviation (ungrouped data) - Mean method

    σ=∑di2n\sigma = \sqrt{\frac{\sum d_i^{2}}{n}}

  • Standard deviation (ungrouped data) - Assumed mean method

    σ=∑di2n−(∑din)2\sigma = \sqrt{\frac{\sum d_i^{2}}{n} - \left(\frac{\sum d_i}{n}\right)^{2}}

  • Standard deviation (ungrouped data) - Step deviation method

    σ=c×∑di2n−(∑din)2\sigma = c \times \sqrt{\frac{\sum d_i^{2}}{n} - \left(\frac{\sum d_i}{n}\right)^{2}}

  • Standard deviation of first n natural numbers

    σ=n2−112\sigma = \sqrt{\frac{n^{2}-1}{12}}

  • Standard deviation (grouped data) - Mean method

    σ=∑fidi2N\sigma = \sqrt{\frac{\sum f_i d_i^{2}}{N}}

  • Standard deviation (grouped data) - Assumed mean method

    σ=∑fidi2N−(∑fidiN)2\sigma = \sqrt{\frac{\sum f_i d_i^{2}}{N} - \left(\frac{\sum f_i d_i}{N}\right)^{2}}

  • Standard deviation (grouped data) - Step deviation method

    σ=C×∑fidi2N−(∑fidiN)2\sigma = C \times \sqrt{\frac{\sum f_i d_i^{2}}{N} - \left(\frac{\sum f_i d_i}{N}\right)^{2}}

  • Coefficient of variation

    C.V=σxˉ×100%\text{C.V} = \frac{\sigma}{\bar{x}} \times 100\%

  • Consistency using C.V.

    Smaller C.V.⇒more consistent data;larger C.V.⇒less consistent data\text{Smaller C.V.} \Rightarrow \text{more consistent data};\quad \text{larger C.V.} \Rightarrow \text{less consistent data}

  • Mutually exclusive events

    A, B are mutually exclusive if A∩B=ϕA,\ B \text{ are mutually exclusive if } A \cap B = \phi

  • Probability of an event

    P(E)=n(E)n(S)P(E) = \frac{n(E)}{n(S)}

  • Sure and impossible events

    P(S)=1,P(ϕ)=0P(S) = 1,\qquad P(\phi) = 0

  • Range of probability

    0≤P(E)≤10 \le P(E) \le 1

  • Complement of an event

    P(Eˉ)=1−P(E)P(\bar{E}) = 1 - P(E)

  • Addition theorem (mutually exclusive events)

    P(A∪B)=P(A)+P(B)P(A \cup B) = P(A) + P(B)

  • Probability of only A

    P(A∩Bˉ)=P(only A)=P(A)−P(A∩B)P(A \cap \bar{B}) = P(\text{only } A) = P(A) - P(A \cap B)

  • Probability of only B

    P(Aˉ∩B)=P(only B)=P(B)−P(A∩B)P(\bar{A} \cap B) = P(\text{only } B) = P(B) - P(A \cap B)

  • Addition theorem for any two events

    P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

  • Addition theorem for any three events

    P(A∪B∪C)=P(A)+P(B)+P(C)−P(A∩B)−P(B∩C)−P(C∩A)+P(A∩B∩C)P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(C \cap A) + P(A \cap B \cap C)

Answers checked against the Samacheer Kalvi textbook · Updated

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