Class 9 Exam  >  Class 9 Notes  >  RD Sharma Solutions for Class 9 Mathematics  >  RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics PDF Download

Q8. The Blood group table of 30 students of class IX is recorded as follows:

A, B, O, O, AB, O, A, O, B, A, O, B, A, O, O

A, AB, O, A, A, O, O, AB, B, A, O, B, A, B, O

A student is selected at random from the class from blood donation. Find the probability that the blood group of the student chosen is:

1: A

2: B

3: AB

4: O

ANSWER

BLOOD GROUPABOABTOTAL
NUMBER OF STUDENTS9612330


1. Probability of a student having blood group RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

2. Probability of a student having blood group  RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

3. Probability of a student having blood group RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

4. Probability of a student having blood group RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics


Q9. Eleven bags of wheat flour, each marked 5kg, actually contained the following weights of flour (in Kg)

4.975.055.085.035.005.065.084.985.045.075.00

Find the probability that any of these bags chosen at random contains more than 5 kg of flour.

ANSWER:

Number of bags weighing more than 5kgs = 7

Total no of bags = 11

Probability of having more than 10kgs of rice  RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics


Q10. The following table show the birth month of 40 students in class IX:

JANFEBMARAPRMAYJUNEJULYAUGSEPOCTNOVDEC
342251253444


Find the probability that a student is born in October

ANSWER:

1. Probability that a student is born in the month of October RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

Q11. Given below is the frequency distribution table regarding the concentration of SO2 in the air in parts per million of a certain city for 30 days. 

Concentration of SO20.00-0.040.04-0.080.08-0.120.12-0.160.16-0.200.20-0.24
No of days489243

 

Find the probability of the concentration of SO2 in the interval 0.12-0.16 on any of these days.

Answer:

Total no of days: 30

Probability of concentration of SO2 in interval 0.12-0.16  RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

Q12. A company selected 2400 families at random and surveys them to determine a relationship between income level and the number of vehicles in a home. The information gathered is listed below

VEHICLES PER FAMILY:

Monthly Income012Above 2
Less than 700010160250
7000-100000305272
10000-130001535291
13000-1600024692925
16000 above15798288

 

If a family is chosen at random find the probability that the family is:

1. Earning Rs 10000 – 13000 per month and owning exactly 2 vehicles.

2. Earning Rs 16000 or more per month and owning exactly 1 vehicle.

3. Earning less than Rs 7000 per month and does not own any vehicle.

4. Earning Rs 13000 – 16000 per month and owning more than 2 vehicles.

5. Owning not more than 1 vehicle.

6.Owning at least one vehicle

Answer: 

1. The probability that the family is earning 10000-13000 and is having exactly 2 vehicles

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

= 292/400

2. The probability that the family is earning 16000 or more and is having exactly 1 vehicle

  RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

3. The probability that the family is earning less than 7000 and is having no vehicle

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

4. The probability that the family is earning 13000-16000 and is having more than 2 vehicles 

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

5. The probability that the family is having not more than one vehicle

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

6. The probability that the family is having atleast one vehicle

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics
RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics
RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

Q13. The following table gives the life time of 400 neon lamps:

Life time300-400400-500500-600600-700700-800800-900900-1000
bulbs14566086746248

A bulb is selected at random. Find the probability that the lifetime of a selected bulb:

1. Less than 400 hrs

2. between 300-800 hours

3. Atleast 700 hours

Answers:

Total number of bulbs = 400

1. Probability that the life of the selected bulb is less than 400hrs

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

2. Probability that the life of the selected bulb is between 300-800hrs

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

3. Probability that the life of the selected bulb is atleast 700hrs

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

Q14. Given below is the frequency distribution of wages (in Rs) of 30 workers in certain factory:

Wages110-130130-150150-170170-190190-210210-230230-250
No of workers3456543


A worker is selected at random. Find the probability that his wages are:

1. Less than Rs.150

2. Atleast Rs.210

3. More than or equal to 150 but less than 210

Answer

Total number of workers = 30

1. Probability that the worker wages are less than Rs.150 

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

2. Probability that the worker wages are atleast Rs.210

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

3. Probability that the worker wages are more than or equal to 150 but less than 210

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics

The document RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths | RD Sharma Solutions for Class 9 Mathematics is a part of the Class 9 Course RD Sharma Solutions for Class 9 Mathematics.
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FAQs on RD Sharma Solutions Ex-25.1, (Part - 2), Probability, Class 9, Maths - RD Sharma Solutions for Class 9 Mathematics

1. What is the importance of learning probability in mathematics?
Ans. Learning probability in mathematics is important as it helps us understand and predict the likelihood of events occurring. It is widely used in various fields such as statistics, economics, and science to make informed decisions and analyze data.
2. How can probability be calculated?
Ans. Probability can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes. For example, if we want to find the probability of getting a head when flipping a fair coin, there is 1 favorable outcome (getting a head) out of 2 possible outcomes (getting a head or a tail), so the probability is 1/2.
3. What is the difference between theoretical probability and experimental probability?
Ans. Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. It is determined by analyzing the sample space and the number of favorable outcomes. On the other hand, experimental probability is based on actual observations and experiments. It is determined by conducting trials and calculating the ratio of favorable outcomes to the total number of trials.
4. How can probability be represented?
Ans. Probability can be represented in various ways. It can be represented as a fraction, decimal, or percentage. For example, if the probability of an event is 3/5, it can also be written as 0.6 or 60%.
5. What are the different types of probability?
Ans. There are three types of probability: a) Classical Probability: It is based on equally likely outcomes and is used when all outcomes are known and equally likely. b) Experimental Probability: It is based on actual experiments and observations and is used when the outcomes are not equally likely. c) Subjective Probability: It is based on personal judgment and is used when there is no available data or information to calculate the probability objectively.
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