Skip to content

Grade 10 · Core Mathematics · Lesson 8 of 12

Probability Bounds, Complementary Events, and the Addition Law

A Grade 10 Core Mathematics CBE lesson from the sub-strand Probability 1. In it, learners state and apply the probability bounds 0 ≤ P(N) ≤ 1 for impossible, possible, and certain events.

Strand Statistics and ProbabilitySub-strand Probability 1Lesson code 10CM-32-L840 minutes · 4 slides

KICD learning outcome (e)

Apply the laws of probability in different situations.

By the end of this lesson, learners should be able to

  1. State and apply the probability bounds 0 ≤ P(N) ≤ 1 for impossible, possible, and certain events.
  2. Use the complement rule P(N') = 1 − P(N) to solve probability problems in real-life contexts.
  3. Identify mutually exclusive events and apply the addition law P(A or B) = P(A) + P(B) to compound outcomes.

Key vocabulary

Complementary events
Two events that are mutually exclusive and together contain all possible outcomes.
Germinating and not germinating are complementary events whose probabilities add up to 1.
Impossible event
An event that has zero chance of occurring in any trial.
Rolling a 7 on a standard six-sided die is an impossible event.
Mutually exclusive events
Events that cannot happen simultaneously in a single trial or outcome.
Rolling an even number and rolling a 5 are mutually exclusive events.
Addition law
The rule stating P(A or B)=P(A)+P(B) for mutually exclusive events.
Using the addition law, P(orange or lemon)=P(orange)+P(lemon).

Lesson preview

Slide 1 · Probability Bounds and Complementary EventsOpening · 10 min
A probability scale from 0 to 1 and a Venn diagram illustrating complementary events that add up to one.
Figure 1: A probability scale from 0 to 1 and a Venn diagram illustrating complementary events that add up to one.

The probability of any event N is a number from 0 to 1 inclusive, written 0≤P(N)≤1. If an event cannot happen, P(N)=0, making it an impossible event. If an event is guaranteed to occur, P(N)=1, making it a certain event. Since an event either occurs or does not occur, the event N and its complement N′ represent mutually exclusive and exhaustive outcomes. Therefore, P(N)+P(N′)=1 or P(N′)=1−P(N).

  • An event E's probability lies between 0 and 1 inclusive, written 0≤P(E)≤1.
  • An event with probability 0 is impossible, while an event with probability 1 is certain.
  • The complement N′ represents the event that N does not occur in a trial.
  • Because N and N′ cover all outcomes, P(N)+P(N′)=1 and P(N′)=1−P(N).
Worked example. Let G be the event that the bean seed germinates, so P(G)=78. The complement G′ is the event that the seed does not germinate. Use the complement law: P(G′)=1−P(G)=1−78=18. By definition, an outcome with probability 0 is an impossible event. Answer: The probability of not germinating is 18, and a probability 0 outcome is impossible..

Check question: If the probability that it rains at a weather station on Mashujaa Day is 0.35, what is the probability that it does not rain?

  1. 0.35
  2. 0.55
  3. 0.65
  4. 0.75
Show answer

0.65. Using the complement law, P(no rain)=1−P(rain)=1−0.35=0.65.

Slide 2 · Applying Complement Rules in Practical SituationsModel · 10 min
Two examples of complementary events, showing the probabilities of not rolling a six on a die and picking green marbles.
Figure 2: Two examples of complementary events, showing the probabilities of not rolling a six on a die and picking green marbles.

Teach the full lesson on the projector

This lesson, and every other Grade 1–10 CBE lesson, comes ready to project with the EAP ClassKit. It runs without electricity or internet.

  • All 4 slides with diagrams and class activities
  • Teacher notes, SNE adaptations and assessment checks
  • Homework and the other 11 lessons in this sub-strand

All 12 lessons in Probability 1

  1. 1Performing Probability Experiments and Finding Experimental ProbabilityPerform experiments involving probabilities in different situations
  2. 2Empirical Probabilities and Experimental InvestigationsPerform experiments involving probabilities in different situations
  3. 3Identifying Range of Probability and Complementary EventsIdentify the range of probability in different situations
  4. 4Generating Probability Space of EventsGenerate probability space of different events
  5. 5Generating Probability Space for Compound EventsGenerate probability space of different events
  6. 6Determining Probability of Mutually Exclusive Events and Introduction to Independent EventsDetermine the probability of mutually exclusive events and independent events
  7. 7Determining Probability of Independent Events and Multi-Stage SelectionsDetermine the probability of mutually exclusive events and independent events
  8. 8Probability Bounds, Complementary Events, and the Addition LawApply the laws of probability in different situations
  9. 9Applying Laws of ProbabilityApply the laws of probability in different situations
  10. 10Determining Probability of Independent Events Using Tree DiagramsDetermine the probability of independent events using tree diagrams
  11. 11Tree Diagrams for Multi-Stage Independent EventsDetermine the probability of independent events using tree diagrams
  12. 12Applications of Probability in Real-Life ContextsAppreciate the application of probability in real-life situations