MathematicsClass 9The Mathematics of Maybe

The Mathematics of Maybe | Class 9 Mathematics Notes

By ConceptScroll Team · Published on 17 July 2026 · 4 min read

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

Experiments and Events

This section elaborates on the fundamental concepts of experiments and events in probability. An experiment is defined as any activity or process that results in one or more outcomes. For example, tossing a coin, rolling a die, or drawing a card from a deck are all experiments. The total set of possible outcomes of an experiment is called the sample space, denoted by S. Each outcome in the sample space is called a sample point. An event is any subset of the sample space and can consist of one or more outcomes. Events can be simple or compound. A simple event consists of a single outcome, such as getting a Head when tossing a coin. A compound event consists of more than one outcome, such as getting an even number when rolling a die (which includes 2, 4, and 6). The section also discusses the classification of events as certain, impossible, or random. A certain event is one that is guaranteed to happen (probability = 1), such as the event of getting a number between 1 and 6 when rolling a die. An impossible event is one that cannot happen (probability = 0), such as getting a 7 on a six-faced die. Random events are those whose occurrence is uncertain. Understanding these concepts is essential for calculating probabilities and analyzing random phenomena.

📊 Diagram: The textbook includes a Venn diagram illustrating the sample space and an event as a subset within it. It also shows examples of simple and compound events with sets of outcomes.

🧪 Activity: Activity: List the sample space for tossing two coins and identify simple and compound events.

🔗 Connection: This section prepares students for the next part, which introduces the theoretical approach to probability and how to calculate probabilities of events.

Frequently asked questions

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 of picking a green sweet = Number of green sweets / Total sweets = 8/30 = 4/15

(ii) Total sweets in large bag = 600 Sample proportion of yellow sweets = 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 who prefer Arts Club = 11 Probability = 11/40

(ii) Total students in school = 800 Proportion who prefer Sports Club = 9/40 Estimated number preferring Sports Club = (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) Number of heads = (count from your experiment) (ii) Number of tails = 20 - number of heads (iii) Experimental probability of heads = (Number of heads) / 20 (iv) Probability of tails in a single toss = 1/2 (theoretical probability, since coin is fair)

4. Toss a paper cup into the air 100 times. After each toss record whether the cup lands on its bottom, upside down on its top or on its side (See Fig. 7.5). Assign probabilities to the outcomes by using experimental probability.

Record the number of times the cup lands on bottom, top, and side out of 100 tosses. Calculate experimental probability for each outcome as: Probability = (Number of times outcome occurs) / 100 Example: If bottom occurs 60 times, P(bottom) = 60/100 = 0.6

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