Vidaara.orgClass 9 · Mathematics
CodeVID-M09-15-EMP-01
Empirical Probability - Assignment
Name: ____________________
Roll No.: __________
Date: ____________
General Instructions
- All questions are compulsory.
- Section A carries 1 mark each, Section B 2 marks, Section C 3 marks and Section D 5 marks.
- Show all working for Sections B, C and D. Only final answers are given at the end — for full solutions, raise your doubts with your teacher.
Section A — Multiple Choice Questions
5 × 1 = 5 marks
1.
Empirical probability $=$
- A.$\tfrac{\text{favourable trials}}{\text{total trials}}$
- B.$\tfrac{\text{total}}{\text{favourable}}$
- C.favourable trials
- D.total trials
2.
Empirical probability is based on:
- A.theory
- B.actual experiments
- C.guessing
- D.opinion
3.
A coin tossed $100$ times shows $60$ heads. $P(\text{head})=$
- A.$0.4$
- B.$0.5$
- C.$0.6$
- D.$1$
4.
As trials increase, empirical probability approaches the ___ probability.
- A.theoretical
- B.zero
- C.maximum
- D.negative
5.
The empirical probability of an event can be at most:
- A.$0$
- B.$0.5$
- C.$1$
- D.$2$
Section B — Short Answer (2 marks)
4 × 2 = 8 marks
6.
Write the formula for empirical probability.
7.
A die is rolled $50$ times; a $6$ appears $8$ times. Find $P(6)$.
8.
A coin is tossed $200$ times, giving $90$ tails. Find $P(\text{tail})$.
9.
Empirical probability is found from what?
Section C — Short Answer (3 marks)
4 × 3 = 12 marks
10.
In $500$ tosses, heads appeared $245$ times. Find the empirical probabilities of heads and tails.
11.
A bag test: a ball is drawn (with replacement) $80$ times; red appears $32$ times. Find $P(\text{red})$.
12.
A die rolled $120$ times gives an even number $66$ times. Find $P(\text{even})$.
13.
Out of $250$ bulbs tested, $10$ were defective. Find the empirical probability that a bulb is defective.
Section D — Long Answer (5 marks)
2 × 5 = 10 marks
14.
A coin was tossed $1000$ times: heads $530$, tails $470$. Find both empirical probabilities and comment on how they compare with the theoretical value $0.5$.
15.
In a survey of $400$ families, $220$ had a car. Find the empirical probability that a family has a car and that it does not.
Answer Key
Section A — Multiple Choice Questions
- (A) $\tfrac{\text{favourable trials}}{\text{total trials}}$
- (B) actual experiments
- (C) $0.6$
- (A) theoretical
- (C) $1$
Section B — Short Answer (2 marks)
- $P(E)=\dfrac{\text{number of favourable trials}}{\text{total number of trials}}$.
- $\tfrac{8}{50}=0.16$.
- $0.45$.
- Actual experiments/observations.
Section C — Short Answer (3 marks)
- $P(\text{head})=0.49$, $P(\text{tail})=0.51$.
- $0.4$.
- $0.55$.
- $0.04$.
Section D — Long Answer (5 marks)
- $P(\text{head})=0.53$, $P(\text{tail})=0.47$; both are close to the theoretical $0.5$.
- $P(\text{car})=0.55$; $P(\text{no car})=0.45$.
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