Probability Magic 🪄

Cast spells with numbers and discover the magic of chance!

✨ Basic Probability Spells

1

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

Step 1: Understand the tree structure

Start with the first coin toss (H or T), then branch for second toss from each outcome, then branch again for third toss.

First Toss
H
Second Toss
H
Third Toss
H → HHH
T → HHT
T
Third Toss
H → HTH
T → HTT
T
Second Toss
H
Third Toss
H → THH
T → THT
T
Third Toss
H → TTH
T → TTT
Step 2: Final sample space

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

2

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

Step 1: Understand the selection

We're selecting 2 balls at a time from balls numbered 1-6.

Since order doesn't matter, (1,2) is same as (2,1).

1
2
3
4
5
6
Step 2: Build the sample space

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

Total number of outcomes = 15

3

If P(A):P(Ā) = 17:15 and n(S) = 640, find (i) P(Ā) (ii) n(A).

Step 1: Understand the ratio

Given P(A):P(Ā) = 17:15

Let P(A) = 17x and P(Ā) = 15x

17:15 Ratio Visualization

Step 2: Use probability rules

We know P(A) + P(Ā) = 1

So, 17x + 15x = 1 ⇒ 32x = 1 ⇒ x = 1/32

Step 3: Solve for probabilities

(i) P(Ā) = 15x = 15/32

(ii) P(A) = 17/32

Given n(S) = 640, so n(A) = P(A) × n(S) = (17/32) × 640 = 340

4

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

Step 1: List all possible outcomes

Sample space for 3 coin tosses (8 outcomes):

H
H
H
HHH
H
H
T
HHT
H
T
H
HTH
H
T
T
HTT
T
H
H
THH
T
H
T
THT
T
T
H
TTH
T
T
T
TTT
Step 2: Identify favorable outcomes

Outcomes with two consecutive tails:

{HTT, TTH, TTT}

(Note: TTT has two pairs of consecutive tails but we count it once)

Step 3: Calculate probability

Number of favorable outcomes = 3

Total outcomes = 8

Probability = 3/8

5

Cards numbered 1 to 1000 are in a box. Players select one card (not replaced). If the card has a perfect square >500, they win. Find probability that:

(i) first player wins   (ii) second player wins if first won

Step 1: Find perfect squares >500

Find numbers n where n² > 500 and n² ≤ 1000

23² = 529, 24² = 576, ..., 31² = 961 (since 32² = 1024 > 1000)

Number of perfect squares >500 = 31 - 22 = 9

23²
24²
25²
26²
27²
28²
29²
30²
31²

9 Winning Numbers

Step 2: First player's probability

(i) P(first player wins) = 9/1000

Step 3: Second player's probability (if first won)

If first player won, one perfect square is removed, and total cards are now 999

Remaining perfect squares = 8

(ii) P(second player wins) = 8/999

6

A bag has 12 blue and x red balls. (i) Find P(red). (ii) If adding 8 red balls makes P(red) twice the original, find x.

Step 1: Initial probability

Total balls = 12 (blue) + x (red) = 12 + x

(i) P(red) = x/(12 + x)

B
B
B
B
B
B
B
B
B
B
B
B
Step 2: After adding 8 red balls

New number of red balls = x + 8

New total balls = 12 + x + 8 = 20 + x

New P(red) = (x + 8)/(20 + x)

Step 3: Set up equation

According to problem: new P(red) = 2 × original P(red)

(x + 8)/(20 + x) = 2 × [x/(12 + x)]

Step 4: Solve for x

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

x² + 20x + 96 = 40x + 2x²

0 = x² + 20x - 96

x = [-20 ± √(400 + 384)]/2 = [-20 ± √784]/2 = [-20 ± 28]/2

Taking positive solution: x = 8/2 = 4

So, x = 4

7

Two unbiased dice are rolled once. Find probability of getting:

(i) a doublet   (ii) product as prime   (iii) sum as prime   (iv) sum as 1

Step 1: Total outcomes

When two dice are rolled, total outcomes = 6 × 6 = 36

1
2
3
4
5
6

Two dice like these rolled together

Step 2: Solve each part

(i) Doublet: (1,1), (2,2), ..., (6,6) → 6 outcomes

Probability = 6/36 = 1/6

(ii) Product is prime: Only possible when one die shows 1 and the other shows a prime number (2,3,5)

Possible outcomes: (1,2), (1,3), (1,5), (2,1), (3,1), (5,1) → 6 outcomes

Probability = 6/36 = 1/6

(iii) Sum as prime number: Possible sums are 2,3,5,7,11

Number of ways:

Sum 2: (1,1) → 1

Sum 3: (1,2), (2,1) → 2

Sum 5: (1,4), (2,3), (3,2), (4,1) → 4

Sum 7: (1,6), (2,5), (3,4), (4,3), (5,2), (6,1) → 6

Sum 11: (5,6), (6,5) → 2

Total favorable = 1 + 2 + 4 + 6 + 2 = 15

Probability = 15/36 = 5/12

(iv) Sum as 1: Impossible (minimum sum is 2)

Probability = 0/36 = 0

🔮 Additional Probability Enchantments

8

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

(i) All heads   (ii) At least one tail   (iii) At most one head   (iv) At most two tails

Step 1: Determine the sample space

When tossing 3 coins, each has 2 outcomes (H or T), so total outcomes = 2 × 2 × 2 = 8

H
H
H
+ 5 more combinations...

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

Step 2: Solve each part

(i) All heads: Only {HHH} → 1 outcome

Probability = 1/8

(ii) At least one tail: All except HHH → 7 outcomes

Probability = 7/8

(iii) At most one head: {TTT, HTT, THT, TTH} → 4 outcomes

Probability = 4/8 = 1/2

(iv) At most two tails: All except TTT → 7 outcomes

Probability = 7/8

9

A bag contains 5 red balls, 6 white balls, 7 green balls, 8 black balls. One ball is drawn at random. Find the probability that the ball drawn is:

(i) White   (ii) Black or red   (iii) Not white   (iv) Neither white nor black

Step 1: Calculate total balls

Total = Red + White + Green + Black = 5 + 6 + 7 + 8 = 26 balls

R
R
R
R
R
W
W
W
W
W
W
G
G
G
G
G
G
G
B
B
B
B
B
B
B
B
Step 2: Solve each part

(i) P(White) = Number of white balls / Total = 6/26 = 3/13

(ii) P(Black or Red) = (8 + 5)/26 = 13/26 = 1/2

(iii) P(Not white) = 1 - P(White) = 1 - 6/26 = 20/26 = 10/13

(iv) P(Neither white nor black) = P(Red or Green) = (5 + 7)/26 = 12/26 = 6/13

10

In a box there are 20 non-defective and some defective bulbs. If the probability of selecting a defective bulb is 3/8, find the number of defective bulbs.

Step 1: Define variables

Let number of defective bulbs = x

Total bulbs = Non-defective + Defective = 20 + x

Step 2: Set up probability equation

P(Defective) = Number of defective / Total bulbs

3/8 = x / (20 + x)

Step 3: Solve for x

Cross multiply: 3(20 + x) = 8x

60 + 3x = 8x

60 = 5x

x = 12

There are 12 defective bulbs in the box.

11

Some boys are playing a game where a stone landing in a circular region is a win. What is the probability to win the game? (π = 3.14)

Step 1: Understand the scenario

This problem requires knowing the area of the circular target region and the total possible landing area.

Target
Total Area
Step 2: General solution

Probability = (Area of circular target) / (Total possible landing area)

For example, if the target has radius r and the stone can land anywhere in a square of side 2r:

Area of circle = πr²

Area of square = (2r)² = 4r²

Probability = πr²/4r² = π/4 ≈ 3.14/4 = 0.785 or 78.5%

12

Two customers visit a shop on any day from Monday to Saturday. What is the probability that both will visit on:

(i) The same day   (ii) Different days   (iii) Consecutive days

Step 1: Determine total outcomes

Each customer has 6 choices (Mon-Sat)

Total outcomes = 6 × 6 = 36

Mon
Tue
Wed
Thu
Fri
Sat

Each customer can independently choose any of these 6 days.

Step 2: Solve each part

(i) Same day: (Mon,Mon), (Tue,Tue), etc. → 6 outcomes

Probability = 6/36 = 1/6

(ii) Different days: Total - Same day = 36 - 6 = 30

Probability = 30/36 = 5/6

(iii) Consecutive days:

(Mon,Tue), (Tue,Mon), (Tue,Wed), (Wed,Tue), (Wed,Thu), (Thu,Wed), (Thu,Fri), (Fri,Thu), (Fri,Sat), (Sat,Fri)

Total = 10 outcomes

Probability = 10/36 = 5/18

13

In a game with ₹150 entry fee, Dhana tosses a coin 3 times. If she gets:

• 1-2 heads: gets entry fee back
• 3 heads: double entry fee
• Otherwise: loses
Find the probability that she (i) gets double fee (ii) gets entry back (iii) loses.

Step 1: Determine all outcomes

Sample space for 3 coin tosses (8 outcomes):

H
H
H
HHH
H
H
T
HHT
H
T
H
HTH
H
T
T
HTT
T
H
H
THH
T
H
T
THT
T
T
H
TTH
T
T
T
TTT
Step 2: Categorize outcomes

(i) Gets double fee (3 heads): {HHH} → 1 outcome

Probability = 1/8

(ii) Gets entry back (1 or 2 heads):

1 head: {HTT, THT, TTH} → 3 outcomes

2 heads: {HHT, HTH, THH} → 3 outcomes

Total = 6 outcomes

Probability = 6/8 = 3/4

(iii) Loses entry fee (0 heads): {TTT} → 1 outcome

Probability = 1/8