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Probability | Year 9 Mathematics (Cambridge) PDF Download

Basic Probability Concepts

Probability is the measure of the likelihood that an event will occur. It is a number between 0 and 1, where 0 indicates an impossible event, and 1 indicates a certain event.

  • Event: An outcome or a set of outcomes of an experiment.
  • Experiment: A situation involving chance or probability that leads to results.
  • Sample Space (S): The set of all possible outcomes.

Examples

  • Flipping a Coin: The sample space is {Heads, Tails}. The probability of getting heads (P(H)) is 1/2.
  • Rolling a Die: The sample space is {1, 2, 3, 4, 5, 6}. The probability of rolling a 4 (P(4)) is 1/6.

Probability Calculations

The probability of an event (A) is calculated as:
Probability | Year 9 Mathematics (Cambridge)

Examples

Example 1: Drawing a Red Card from a Deck
Sol: 
There are 52 cards in total and 26 red cards.
P(Red Card) = 26/52 = 1/2.

Example 2: Rolling an Even Number on a Die
Sol: 
There are 3 favorable outcomes (2, 4, 6) out of 6 total outcomes.
P(Even Number) = 3/6 = 1/2.

Experimental and Theoretical Probability

Theoretical Probability

Theoretical probability is determined by reasoning or calculation. It assumes that all outcomes in the sample space are equally likely.
Probability | Year 9 Mathematics (Cambridge)

Experimental Probability

Experimental probability is determined through actual experiments and observations. It is the ratio of the number of times an event occurs to the total number of trials.
Probability | Year 9 Mathematics (Cambridge)

Examples

Example 1: Flipping a Coin 100 Times
Sol: 
If heads come up 55 times, the experimental probability of heads (P(H)) is:
P(H) = 55/100 = 0.55.

Example 2: Rolling a Die 60 Times
Sol: 
If a 3 is rolled 10 times, the experimental probability of rolling a 3 (P(3)) is:
P(3) = 10/60 = 1/6.

Comparison

  • Theoretical probability is often used in ideal conditions, while experimental probability is used to verify theoretical predictions.
  • Experimental probability can vary based on the number of trials, while theoretical probability remains constant.

Practice Problems

  • Calculate the Probability of Drawing an Ace from a Deck of Cards:
    • There are 4 aces in a deck of 52 cards.
    • Probability | Year 9 Mathematics (Cambridge)
  • Finding the Probability of Rolling a Number Greater than 4 on a Die:
    • The favorable outcomes are {5, 6}.
    • Probability | Year 9 Mathematics (Cambridge)
  • Experimental Probability Example:
    • If a coin is flipped 200 times and lands on tails 120 times, what is the experimental probability of tails?
    • Probability | Year 9 Mathematics (Cambridge)
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FAQs on Probability - Year 9 Mathematics (Cambridge)

1. What is the basic concept of probability?
Ans. Probability is a measure of the likelihood that an event will occur. It is expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.
2. How is probability calculated in statistics?
Ans. In statistics, probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. This gives the probability of the event occurring.
3. What is the difference between theoretical probability and experimental probability?
Ans. Theoretical probability is based on mathematical calculations and assumptions, while experimental probability is based on actual observations or experiments. Theoretical probability is idealized, while experimental probability is based on real-world data.
4. How can probability be used in decision-making?
Ans. Probability can be used in decision-making by helping to assess the likelihood of different outcomes and their associated risks. It can inform choices by providing a basis for evaluating the potential outcomes of different decisions.
5. Can probability be used in everyday life?
Ans. Yes, probability is used in everyday life in various contexts, such as weather forecasting, sports betting, risk assessment, and financial planning. Understanding probability can help individuals make informed decisions and assess the likelihood of different outcomes.
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