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📘 Probability – Concepts & PYQ

1ïļâƒĢ Random Experiment

An experiment which gives different outcomes every time.

Experiment → Outcome → Sample Space → Probability
Example: Tossing a coin → H, T

2ïļâƒĢ Sample Space

All possible outcomes of an experiment.

S = {H, T}
Two coins → {HH, HT, TH, TT}

3ïļâƒĢ Probability Formula

P(E) = Favorable / Total Outcomes
Die → P(2) = 1/6

4ïļâƒĢ Types of Events

âžĪ Impossible → P = 0
âžĪ Sure Event → P = 1
âžĪ Complement → 1 – P(E)
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Types of Events (Probability)

1. Impossible & Sure Event

Impossible: P(A) = 0

Sure: P(A) = 1

Example: Die → Getting 7 (Impossible), 1–6 (Sure)

2. Simple Event

Only one outcome

Sample Space = {1,2,3,4,5,6}

Example: Getting 2

3. Compound Event

More than one outcome

{2,4,6}

Even number on die

4. Mutually Exclusive Events

Cannot occur together

P(AâˆĐB) = 0

P(A∊B) = P(A)+P(B)

2 and 5 on die

5. Non-Mutually Exclusive

Can occur together

P(A∊B)=P(A)+P(B)-P(AâˆĐB)

Even & Prime

6. Independent Events

One does not affect other

P(AâˆĐB)=P(A)P(B)

Coin + Die

7. Dependent Events

One affects other

P(AâˆĐB)=P(A)P(B|A)

Picking balls

8. Complementary Event

Opposite event

P(A') = 1 − P(A)

Head / Tail
If P(Rain)=0.3 → No Rain=0.7

9. Equally Likely Events

Same probability

Each = 1/6

Die outcomes

10. Exhaustive Events

Cover all outcomes

{1,2,3,4,5,6}

Odd + Even

📝 PYQ – Question 1

Two coins are tossed. Find probability of one head.

a) 1/4
b) 1/2
c) 3/4
d) 1
Show Answer
✔ Answer: 1/2

📝 PYQ – Question 2

A die is thrown. Find probability of prime number.

a) 1/6
b) 1/2
c) 1/3
d) 2/3
Show Answer
✔ Answer: 1/2

📝 PYQ – Question 3

Probability value lies between?

a) -1 to 1
b) 0 to 1
c) 1 to ∞
d) None
Show Answer
✔ Answer: 0 to 1

📌 Important Note

✔ Always write Sample Space
✔ Count favorable cases
✔ Apply formula
📘 Probability / Math Concepts & Flow Chart

ðŸŽŊ Concept 1 : Coin Toss

When a coin is tossed, possible outcomes are:

Sample Space = {H, T}
Toss Coin → H / T → Probability
Example: Probability of Head = 1/2

ðŸŽŊ Concept 2 : Dice Throw

When a dice is thrown, outcomes are:

{1, 2, 3, 4, 5, 6}
Throw Dice → 1–6 → Result
Example: P(6) = 1/6

ðŸŽŊ PYQ Practice

Q1. A coin is tossed twice. Find P(2 Heads)?

A) 1/4
B) 1/2
C) 3/4
D) 1
Show Answer ✅ Answer: A (1/4)

ðŸŽŊ Formula Section

P(A) = Favourable / Total Outcomes
P(A ∊ B) = P(A) + P(B) – P(A âˆĐ B)

ðŸŽŊ Flow Chart

Question → Sample Space → Favourable → Probability → Answer
📘 Probability – Concepts & Flow Chart

📌 Coin Toss

One Coin → H, T

Two Coins → HH, HT, TH, TT

Outcomes = 2âŋ
Example: 3 coins → 2Âģ = 8
S = {HH, HT, TH, TT} Total Outcomes = 4
P(HH) = 1/4

📌 Two Dice

Total Outcomes:

6 × 6 = 36 Total = 6âŋ
Example: 2 Dice → 36

📌 Addition Formula

For two events A and B:

P(A ∊ B) = P(A) + P(B) − P(A âˆĐ B)
Used in overlapping events

📌 Cards Probability

Total Cards = 52

P(Heart) = 13/52 = 1/4
Same for Spade, Diamond, Club

📌 Important Points

  • 0 â‰Ī P(E) â‰Ī 1
  • Total Probability = 1
  • Sample space is necessary
📘 Probability – Concepts & PYQ

📝 Practice Questions (PYQ)

Q1. A bag has 6 black & 8 white balls. Find P(white).

a) 3/7    b) 4/7    c) 1/2    d) 5/7

👉 Show Answer

Correct Answer: b) 4/7


Q2. Find probability of getting head in a toss.

a) 1    b) 0    c) 1/2    d) 2

👉 Show Answer

Correct Answer: c) 1/2


Q3. A card is drawn. Find P(king).

a) 1/52    b) 1/13    c) 4/52    d) 1/4

👉 Show Answer

Correct Answer: b) 1/13

📊 Probability: Theorems

ðŸ”đ Negation of an Event

Not A = P(AĖ…)
A or B (Union) = A ∊ B
A and B (Intersection) = A âˆĐ B
A but not B = A âˆĐ BĖ…
Exactly one of A or B = (A âˆĐ BĖ…) ∊ (AĖ… âˆĐ B)

ðŸ”đ Addition Theorems

Theorem 1: Mutually Exclusive
(Nothing common: A âˆĐ B = Ø)
P(A ∊ B) = P(A) + P(B)
Theorem 2: Non-Mutually Exclusive
(Something is common: A âˆĐ B ≠ 0)
P(A ∊ B) = P(A) + P(B) - P(A âˆĐ B)

ðŸ”đ 3-Set Venn Diagram

P(A ∊ B ∊ C) = P(A) + P(B) + P(C) - P(A âˆĐ B) - P(B âˆĐ C) - P(C âˆĐ A) + P(A âˆĐ B âˆĐ C)
All three = A âˆĐ B âˆĐ C
Exactly two = b + d + e
Exactly one = a + f + g

ðŸ”đ Key Results

Sum of all probabilities = 1
At least two = b + d + e + c
At most two = 1 - P(A âˆĐ B âˆĐ C)