MathematicsClass 9What is Probability?

What is Probability? | Class 9 Mathematics Notes

By ConceptScroll Team · Published on 17 July 2026 · 5 min read

What is Probability? – this guide gives you a concise, exam-ready overview of What is Probability? from Class 9 Mathematics, written by ConceptScroll editors and reviewed against the latest NCERT textbook.

7.1 WHAT IS PROBABILITY?

Probability is a mathematical measure used to express the likelihood or chance that a particular event will occur. Unlike physical measurements such as length, area, or volume, probability quantifies uncertainty and randomness in events. Everyday questions such as "Is it going to rain today?", "Will our school win the hockey match tomorrow?", or "Will I be chosen in the lucky draw?" are examples of events involving chance. These are called random events because although we know the possible outcomes, we cannot predict with certainty which outcome will happen. For example, it may rain or not rain today; the school hockey team may win, lose, or draw; and any student’s name may be drawn in the lucky draw. The uncertainty arises because of the element of chance or randomness involved.

People often express their belief about the likelihood of an event using terms like impossible, certain, less likely, more likely, or equally likely. These expressions are subjective and based on personal interpretation of evidence, such as weather conditions or past experiences. For instance, one friend may say it is unlikely to rain because the sun is shining, while another may think rain is possible because it is hot and humid. This is called subjective probability, reflecting personal judgment rather than objective measurement.

Probability deals with uncertainty and chance, which are common in real life. As society becomes more complex, many questions have multiple possible answers rather than fixed ones. Therefore, learning how to estimate probability objectively, based on evidence rather than opinion, is important. This chapter introduces the concept of randomness, the probability scale, and methods to measure probability objectively.

📊 Diagram: Figure shows examples of random events: a coin toss with possible outcomes heads or tails; a die roll with outcomes 1 to 6; and a lucky draw where one slip is randomly selected from many.

🧪 Activity: Think and Reflect: Why is the coin toss considered a fair method to decide which cricket team bats first? Discuss the role of unpredictability in fairness.

🔗 Connection: This section introduces the concept of randomness, leading to the next subsection which defines randomness more precisely and explains its role in probability.

Frequently asked questions

Rank the following events on a scale from 0 (Impossible) to 1 (Certain). Label each event: Impossible, less likely, equally likely (even chance), more likely, certain. Give reasons why you gave each event its ranking. (i) The next Monday will come after Sunday. (ii) It will snow in Mumbai in July. (iii) An elephant will walk through your classroom today. (iv) You will greet at least one friend at school tomorrow.

Solution:

(i) The next Monday will come after Sunday.

  • This event is certain because Monday always follows Sunday.
  • Probability = 1 (Certain)

(ii) It will snow in Mumbai in July.

  • Mumbai has a tropical climate and it never snows there.
  • Probability = 0 (Impossible)

(iii) An elephant will walk through your classroom today.

  • This is highly unlikely and practically impossible in normal circumstances.
  • Probability = 0 (Impossible)

(iv) You will greet at least one friend at school tomorrow.

1. A teacher mixes a large bag of sweets of different colours and randomly selects a sample of 30 sweets. She counts the number of sweets of each colour: 10 red sweets | 8 green sweets | 7 yellow sweets | 5 blue sweets (i) Calculate the probability that a randomly picked sweet from the sample is green. (ii) If there are 600 sweets in total in the large bag, estimate how many are likely to be yellow, based on the sample results.

(i) Total sweets in sample = 30 Number of green sweets = 8 Probability (green) = Number of green sweets / Total sweets = 8/30 = 4/15

(ii) Total sweets in large bag = 600 Proportion of yellow sweets in sample = 7/30 Estimated number of yellow sweets in large bag = (7/30) × 600 = 140 sweets

2. A survey is conducted at a school where a random sample of 40 students is asked about their favourite club. The responses are: 14 students: Science Club | 11 students: Arts Club | 9 students: Sports Club | 6 students: Debate Club Assume there are 800 students in the whole school. (i) What is the probability that a randomly chosen student from the sample prefers the Arts Club? (ii) Using the sample results, estimate how many students in the whole school are likely to prefer the Sports Club.

(i) Total students in sample = 40 Number preferring Arts Club = 11 Probability (Arts Club) = 11/40

(ii) Total students in school = 800 Proportion preferring Sports Club in sample = 9/40 Estimated number preferring Sports Club in school = (9/40) × 800 = 180 students

3. Toss a coin 20 times and record the result each time (heads or tails). (i) How many times did you get heads? (ii) How many times did you get tails? (iii) Calculate the experimental probability of getting heads. (iv) If you toss the coin once more, what is the probability of getting tails?

(i) Count the number of heads obtained in 20 tosses. (ii) Count the number of tails obtained in 20 tosses. (iii) Experimental probability of heads = (Number of heads) / 20 (iv) Probability of tails in a fair coin toss = 1/2

Ready to ace this chapter?

Get the full What is Probability? chapter — interactive notes, diagrams, worked solutions, polls and a free practice quiz — in the ConceptScroll app.

Open in ConceptScroll →

Study smarter with ConceptScroll

Daily NCERT-aligned reels, AI doubt solving and chapter quizzes — all free.

Start learning free
#cbse notes#class 9#mathematics#ncert

Continue reading