Geometry

Trigonometry — Identifying hypotenuse, opposite, and adjacent sides relative to a given acute angle in a right-angled triangle

By the end of the lesson, the learner should be able to:
- identify the hypotenuse as the side opposite the right angle and the longest side;
- identify the opposite and adjacent sides with reference to any given acute angle;
- appreciate the relationship between the angles and sides of a right-angled triangle.

In groups, learners are guided to:
- Draw right-angled triangles in different orientations on graph paper; label hypotenuse, opposite, and adjacent for each marked angle
- Discuss how the labelling of opposite and adjacent sides changes when the reference angle changes (standing at A vs. standing at C)
- Identify opposite, adjacent, and hypotenuse for each marked angle in a variety of triangles drawn in different positions

What is the relationship between angles and sides in a right-angled triangle?

- Mentor Mathematics Grade 9 pg. 223–225
- Ruler and protractor
- Graph paper
- Digital devices

- Oral questions - Observation - Written exercises

Geometry

Trigonometry — Identifying hypotenuse, opposite, and adjacent sides relative to a given acute angle in a right-angled triangle

By the end of the lesson, the learner should be able to:
- identify the hypotenuse as the side opposite the right angle and the longest side;
- identify the opposite and adjacent sides with reference to any given acute angle;
- appreciate the relationship between the angles and sides of a right-angled triangle.

In groups, learners are guided to:
- Draw right-angled triangles in different orientations on graph paper; label hypotenuse, opposite, and adjacent for each marked angle
- Discuss how the labelling of opposite and adjacent sides changes when the reference angle changes (standing at A vs. standing at C)
- Identify opposite, adjacent, and hypotenuse for each marked angle in a variety of triangles drawn in different positions

What is the relationship between angles and sides in a right-angled triangle?

- Mentor Mathematics Grade 9 pg. 223–225
- Ruler and protractor
- Graph paper
- Digital devices

- Oral questions - Observation - Written exercises

Geometry

Trigonometry — Identifying and calculating tan θ = opp/adj; sin θ = opp/hyp; cos θ = adj/hyp

By the end of the lesson, the learner should be able to:
- define the three trigonometric ratios (tangent, sine, cosine) for an acute angle in a right-angled triangle;
- calculate the decimal value of each ratio from given side lengths;
- appreciate that the ratio remains constant for a fixed angle regardless of triangle size.

In groups, learners are guided to:
- Measure opposite, adjacent, and hypotenuse sides in three similar right-angled triangles drawn to coincide at vertex A; compute opp/adj, opp/hyp, and adj/hyp for each — note the constant values
- Define: tan θ = opp/adj; sin θ = opp/hyp; cos θ = adj/hyp and express as decimals
- Express each trig ratio as a fraction and as a decimal for various triangles with given side lengths

How do we express trigonometric ratios from a right-angled triangle?

- Mentor Mathematics Grade 9 pg. 225–232
- Ruler and protractor
- Graph paper
- Digital devices

- Written assignments - Oral questions - Observation

Geometry

Trigonometry — Reading tables of sine, cosine, and tangent for acute angles; using mean difference columns

By the end of the lesson, the learner should be able to:
- read the sine, cosine, and tangent of acute angles from mathematical tables including the mean difference (ADD/SUBTRACT) column;
- find an angle given its sine, cosine, or tangent from tables;
- note that the cosine table uses the SUBTRACT column (cosine decreases as angle increases).

In groups, learners are guided to:
- Study the structure of trig tables: x° column, 0.0–0.9 main columns, ADD/SUBTRACT difference columns
- Read values step by step: tan 5.8° = 0.1016; tan 6.37° = 0.1116 using ADD column; sin 62.6° = 0.8878; sin 33.47° = 0.5515
- Find an angle from its ratio: tan θ = 0.8571 → θ = 40.6°; sin x = 0.9639 → x = 74.56°; cos x = 0.1234 → x = 82.91° using SUBTRACT column for cosine

How do we use trigonometric tables to find ratios and angles?

- Mentor Mathematics Grade 9 pg. 232–240
- Mathematical trig tables (sin, cos, tan)
- Scientific calculators
- Digital devices

- Written tests - Oral questions - Observation

Geometry

Trigonometry — Reading tables of sine, cosine, and tangent for acute angles; using mean difference columns

By the end of the lesson, the learner should be able to:
- read the sine, cosine, and tangent of acute angles from mathematical tables including the mean difference (ADD/SUBTRACT) column;
- find an angle given its sine, cosine, or tangent from tables;
- note that the cosine table uses the SUBTRACT column (cosine decreases as angle increases).

In groups, learners are guided to:
- Study the structure of trig tables: x° column, 0.0–0.9 main columns, ADD/SUBTRACT difference columns
- Read values step by step: tan 5.8° = 0.1016; tan 6.37° = 0.1116 using ADD column; sin 62.6° = 0.8878; sin 33.47° = 0.5515
- Find an angle from its ratio: tan θ = 0.8571 → θ = 40.6°; sin x = 0.9639 → x = 74.56°; cos x = 0.1234 → x = 82.91° using SUBTRACT column for cosine

How do we use trigonometric tables to find ratios and angles?

- Mentor Mathematics Grade 9 pg. 232–240
- Mathematical trig tables (sin, cos, tan)
- Scientific calculators
- Digital devices

- Written tests - Oral questions - Observation

Geometry

Trigonometry — Using a scientific calculator to find trig ratios and inverse trig functions for acute angles

By the end of the lesson, the learner should be able to:
- use the sin, cos, and tan keys on a scientific calculator to find trig ratios of given angles;
- use the shift + sin/cos/tan keys to find an angle from its ratio (inverse trig);
- compare calculator results with table values and appreciate the efficiency of technology.

In groups, learners are guided to:
- Ensure the calculator is set to degree mode (D displayed at top); discuss calculator key sequences
- Calculate: sin 45° = 0.7071; cos 71° = 0.3256; tan 55° = 1.428 using the calculator — give answers to 4 significant figures
- Find angles: tan⁻¹(0.3764) = 20.63°; sin⁻¹(0.500) = 30°; cos⁻¹(0.9998) = 1.28° using shift + ratio key
- Use IT/digital devices or other resources to explore trig ratios

How do we use a calculator to find trigonometric ratios and angles?

- Mentor Mathematics Grade 9 pg. 240–242
- Scientific calculators
- Mathematical trig tables
- Digital devices

- Written assignments - Oral questions - Observation

Geometry

Trigonometry — Using sin, cos, and tan to calculate unknown sides and angles in right-angled triangles

By the end of the lesson, the learner should be able to:
- select the appropriate trigonometric ratio to find an unknown side given one side and one acute angle;
- use inverse trig to find an unknown angle given two sides;
- apply trig ratios to solve real-life problems involving right-angled triangles.

In groups, learners are guided to:
- Identify the correct ratio: use tan 42° = x/7 → x = 7 × tan 42° = 6.303; use cos 36° = x/7 → x = 7 × cos 36° = 5.663
- Find angle a: sin a = 10/18 = 0.5556 → a = sin⁻¹(0.5556) = 33.75°
- Solve: length of perpendicular height of an equilateral triangle of side 10 cm; length of diagonal of a square with perimeter 36 cm; sides of an equilateral triangle with perpendicular height 18 cm

How do we apply trigonometric ratios to calculate lengths and angles of right-angled triangles?

- Mentor Mathematics Grade 9 pg. 238–243
- Mathematical trig tables
- Scientific calculators
- Digital devices

- Written assessment - Oral questions - Observation

Geometry

Trigonometry — Using sin, cos, and tan to calculate unknown sides and angles in right-angled triangles

By the end of the lesson, the learner should be able to:
- select the appropriate trigonometric ratio to find an unknown side given one side and one acute angle;
- use inverse trig to find an unknown angle given two sides;
- apply trig ratios to solve real-life problems involving right-angled triangles.

In groups, learners are guided to:
- Identify the correct ratio: use tan 42° = x/7 → x = 7 × tan 42° = 6.303; use cos 36° = x/7 → x = 7 × cos 36° = 5.663
- Find angle a: sin a = 10/18 = 0.5556 → a = sin⁻¹(0.5556) = 33.75°
- Solve: length of perpendicular height of an equilateral triangle of side 10 cm; length of diagonal of a square with perimeter 36 cm; sides of an equilateral triangle with perpendicular height 18 cm

How do we apply trigonometric ratios to calculate lengths and angles of right-angled triangles?

- Mentor Mathematics Grade 9 pg. 238–243
- Mathematical trig tables
- Scientific calculators
- Digital devices

- Written assessment - Oral questions - Observation

Data Handling and Probability

Data Interpretation (Grouped Data) — Determining appropriate class width; drawing frequency distribution tables

By the end of the lesson, the learner should be able to:
- determine the range and calculate an appropriate class width for a given data set;
- group raw data into classes and draw a frequency distribution table using tally marks;
- appreciate the importance of organising data into groups for easier interpretation.

- Have learners each choose a number between 1 and 100; find the range, determine an appropriate class width (5–12 classes) and form the classes
- Apply: masses of 40 Hekima Junior School learners (range = 28 kg; class width 5 gives 6 classes: 30–34, 35–39, …, 55–59)
- Tally the marks of 60 Tiifu Junior School learners (range = 76; class width 10 gives 8 classes) and complete the frequency distribution table
- Use digital devices or other resources to organise and represent grouped data

How do we interpret data?

- Mentor Mathematics Grade 9 pg. 224–229
- Graph paper and exercise books
- Digital devices

- Oral questions - Observation - Written exercises

Data Handling and Probability

Data Interpretation (Grouped Data) — Identifying the modal frequency and modal class from a frequency distribution table
Data Interpretation (Grouped Data) — Calculating the mean of grouped data using midpoints (x̄ = Σfx ÷ Σf)

By the end of the lesson, the learner should be able to:
- define modal frequency as the highest frequency in a grouped data set;
- identify the modal class as the class with the highest frequency;
- apply the concept of modal class to real-life data sets such as school scores and goal tallies.

- Recall the meaning of mode from Grade 8 (most frequently occurring value); discuss how mode applies to grouped data
- From the frequency distribution table of 52 learners' masses, identify: modal frequency = 14; modal class = 45–49 kg
- Solve exercises: words read per minute, number of learners in schools, goals in netball matches, and mobile money agent data
- Recognise the modal class by identifying the class with the highest frequency from prepared tables

How do we identify the most common class in grouped data?

- Mentor Mathematics Grade 9 pg. 229–231
- Frequency distribution tables
- Digital devices
- Mentor Mathematics Grade 9 pg. 231–234
- Exercise books
- Scientific calculators

- Oral questions - Written exercises - Observation

Data Handling and Probability

Data Interpretation (Grouped Data) — Building cumulative frequency columns; identifying the median class

By the end of the lesson, the learner should be able to:
- define cumulative frequency and build a cumulative frequency column by successively adding frequencies;
- determine the median class by finding the class containing the N/2 position;
- identify the values of L, cfa, fm, and im needed in the median formula.

- Brainstorm the meaning of cumulative frequency; build the column by adding frequencies row by row: first cf = f₁; second cf = f₁ + f₂; and so on
- Use the grouped data of 50 learners (class 10–14 to 45–49) to build the cumulative frequency column and confirm the last cf = Σf = 50
- Identify the median class: N/2 = 40/2 = 20 → the class containing the 20th value is 50–59 (cf jumps from 17 to 23)
- Identify: L (lower class boundary of median class), cfa (cf of class above), fm (frequency of median class), im (class width)

How do we find the middle value of grouped data?

- Mentor Mathematics Grade 9 pg. 234–236
- Exercise books
- Digital devices

- Oral questions - Written exercises - Observation

Data Handling and Probability

Data Interpretation (Grouped Data) — Calculating the median using the formula: Median = L + [(N/2 − cfa) ÷ fm] × im

By the end of the lesson, the learner should be able to:
- apply the median formula using the values identified from the cumulative frequency table;
- correctly compute L as the average of the lower boundary of the median class and the upper boundary of the class above it;
- determine the median of grouped data from real-life situations and appreciate its use.

- Work through Example 5: 40 learners' Mathematics marks — median class 50–59; L = (49+50)/2 = 49.5; cfa = 17; fm = 6; im = 10 → Median = 49.5 + [(20−17)/6] × 10 = 54.5
- Work through Example 6: vaccination ages of 82 people — median class 11–15; L = 10.5; cfa = 29; fm = 16; im = 5 → Median = 14.25
- Solve: electricity units used by 70 customers; masses of 30 hospital patients; 400 m race times for 50 learners
- Use IT devices to verify median calculations

How do we calculate the median of grouped data?

- Mentor Mathematics Grade 9 pg. 236–238
- Exercise books
- Scientific calculators
- Digital devices

- Written tests - Oral questions - Observation

Data Handling and Probability

Data Interpretation (Grouped Data) — Mixed problems on class width, frequency tables, modal class, mean, and median

By the end of the lesson, the learner should be able to:
- solve mixed problems covering all grouped data concepts: class width, frequency tables, modal class, mean, and median;
- collect, organise, and interpret real-life data;
- appreciate data interpretation in real-life situations such as health, agriculture, and school performance.

In groups, learners are guided to:
- Collect real-life data: use distances from school or home to health facilities using different routes; organise into a frequency table, identify the modal class, calculate mean and median
- Work through comprehensive revision exercises involving full data sets from raw data to table to modal class to mean to median
- Discuss applications: Integrated Science data, Social Studies population data, Agricultural harvest records
- Use digital devices or other materials to search for and interpret real-life data sets

How do we use grouped data interpretation in real-life situations?

- Mentor Mathematics Grade 9 pg. 224–238 (revision)
- Revision exercise sheets
- Scientific calculators
- Digital devices

- Written assessment - Oral questions - Peer assessment

Data Handling and Probability

Probability — Experiments involving equally likely outcomes; P(event) = favourable outcomes ÷ total outcomes
Probability — Determining the range of probability; P(certain event) = 1; P(impossible event) = 0; 0 ≤ P(A) ≤ 1; P(A') = 1 − P(A)

By the end of the lesson, the learner should be able to:
- identify equally likely outcomes in experiments such as tossing a coin or rolling a die;
- calculate the probability of a simple event using P = favourable outcomes ÷ total possible outcomes;
- appreciate that equally likely events have equal chances of occurring.

In groups, learners are guided to:
- Toss a coin repeatedly and record outcomes; discuss: is there a side that will always face up? Establish that head and tail are equally likely
- Roll a regular die; list all 6 equally likely outcomes; find P(5) = 1/6, P(3) = 1/6
- Solve: triangular pyramid (4 faces), basket with one red and one blue pen, five girls with tags 1–5, Sande's three pens (blue, black, red)
- Recall Grade 8 probability; discuss how prior learning connects to the current work

Why is probability important in real-life situations?

- Mentor Mathematics Grade 9 pg. 239–241
- Coins and dice
- Coloured pens / objects in a bag
- Digital devices
- Mentor Mathematics Grade 9 pg. 241–243

- Oral questions - Observation - Written exercises

Data Handling and Probability

Probability — Identifying mutually exclusive events; P(A or B) = P(A) + P(B) (addition law)

By the end of the lesson, the learner should be able to:
- define mutually exclusive events as events where the occurrence of one prevents the occurrence of the other;
- apply the addition law: P(A or B) = P(A) + P(B) for mutually exclusive events;
- identify mutually exclusive events in real-life situations and solve related problems.

In groups, learners are guided to:
- Toss a coin once; discuss: can head and tail both face up at the same time? Establish mutual exclusivity
- Identify real-life mutually exclusive events: at school or at home; lunch at home or at school; football or volleyball choice
- Roll a die: P(1 or 2) = 1/6 + 1/6 = 2/6; P(even number) = P(2) + P(4) + P(6) = 3/6; P(3 or 5 or 4) = 3/6
- Solve: cards numbered 1–9 (P(odd), P(prime), P(prime or even)); spinner numbered 1–8; word MUTUALLY written on separate cards

How do we calculate the probability of mutually exclusive events?

- Mentor Mathematics Grade 9 pg. 243–247
- Coins and dice
- Number cards
- Spinners
- Digital devices

- Written tests - Oral questions - Observation

Data Handling and Probability

Probability — Performing experiments involving independent events; P(A and B) = P(A) × P(B) (multiplication law)

By the end of the lesson, the learner should be able to:
- define independent events as events where the outcome of one does not affect the outcome of the other;
- apply the multiplication law: P(A and B) = P(A) × P(B) for independent events;
- solve real-life problems involving two or more independent events including with and without replacement.

- One learner holds a coin, another holds a die; toss simultaneously — discuss: does the coin outcome affect the die outcome? Establish independence
- Establish: the word "and" in probability means multiply: P(A and B) = P(A) × P(B)
- Work through: basket with 4 red and 3 green balls (with replacement) — P(red then green) = 4/7 × 3/7 = 12/49; P(all red) = 16/49
- Solve: pink and orange marbles without replacement; three learners hitting a target with different individual probabilities; coin-and-die combined experiments
- Apply to real life: rain and lateness; pen and ruler usage in class

How do we calculate the probability of independent events occurring together?

- Mentor Mathematics Grade 9 pg. 247–251
- Coins, dice, and coloured balls/marbles
- Digital devices

- Written assignments - Oral questions - Observation

Data Handling and Probability

Probability — Performing experiments involving independent events; P(A and B) = P(A) × P(B) (multiplication law)

By the end of the lesson, the learner should be able to:
- define independent events as events where the outcome of one does not affect the outcome of the other;
- apply the multiplication law: P(A and B) = P(A) × P(B) for independent events;
- solve real-life problems involving two or more independent events including with and without replacement.

- One learner holds a coin, another holds a die; toss simultaneously — discuss: does the coin outcome affect the die outcome? Establish independence
- Establish: the word "and" in probability means multiply: P(A and B) = P(A) × P(B)
- Work through: basket with 4 red and 3 green balls (with replacement) — P(red then green) = 4/7 × 3/7 = 12/49; P(all red) = 16/49
- Solve: pink and orange marbles without replacement; three learners hitting a target with different individual probabilities; coin-and-die combined experiments
- Apply to real life: rain and lateness; pen and ruler usage in class

How do we calculate the probability of independent events occurring together?

- Mentor Mathematics Grade 9 pg. 247–251
- Coins, dice, and coloured balls/marbles
- Digital devices

- Written assignments - Oral questions - Observation

Data Handling and Probability

Probability — Drawing tree diagrams to represent possible outcomes of a single-stage event

By the end of the lesson, the learner should be able to:
- draw a tree diagram to represent all possible outcomes of a single probability experiment;
- place correct probabilities on each branch ensuring branches from each node sum to 1;
- use tree diagrams to solve real-life probability problems involving single outcomes.

In groups, learners are guided to:
- Draw branches for a coin toss: label X (head) and Y (tail); place P(H) = 1/2 and P(T) = 1/2 on the branches; confirm the two branches sum to 1
- Draw tree diagram for Musau's arrival: P(late) = 40%, P(early) = 60% — two branches from a single starting point
- Draw tree diagram for a school presidential election: P(Salma) = 0.32, P(Kerubo) = 0.41, P(Nanjala) = 0.27 — three branches summing to 1
- Solve: basket with 3 yellow and 2 blue balls; school modes of transport (bus 0.25, motorcycle 0.38, walking); Judy's fruit basket (25 oranges, 28 mangoes, 17 avocados)

How do we use a tree diagram to show the outcomes of a probability experiment?

- Mentor Mathematics Grade 9 pg. 251–255
- Graph paper or blank paper
- Ruler and pencil
- Digital devices

- Written exercises - Oral questions - Observation

Data Handling and Probability

Probability — Mixed problems on equally likely outcomes, range, mutually exclusive events, independent events, and tree diagrams

By the end of the lesson, the learner should be able to:
- solve mixed problems covering all probability concepts: equally likely outcomes, range of probability, mutually exclusive events, independent events, and tree diagrams;
- apply probability to real-life decision-making situations;
- appreciate probability as a tool for predicting outcomes in real life while avoiding harmful gambling practices.

In groups, learners are guided to:
- Work through comprehensive revision exercises covering: simple probability, complementary events, addition law, multiplication law, and tree diagrams
- Solve real-life problems: weather forecasting (probability of rain and lateness); team selection (probability of a class captain); fruit distribution
- Discuss: how probability applies to real life — weather, sports outcomes, disease vaccines, business decisions
- Explore using digital devices or other resources to simulate and explore probability experiments

Why is probability important in real-life situations?

- Mentor Mathematics Grade 9 pg. 239–255 (revision)
- Coins, dice, and coloured marbles/balls
- Revision exercise sheets
- Digital devices

- Written assessment - Oral questions - Peer assessment

Data Handling and Probability

Probability — Mixed problems on equally likely outcomes, range, mutually exclusive events, independent events, and tree diagrams

By the end of the lesson, the learner should be able to:
- solve mixed problems covering all probability concepts: equally likely outcomes, range of probability, mutually exclusive events, independent events, and tree diagrams;
- apply probability to real-life decision-making situations;
- appreciate probability as a tool for predicting outcomes in real life while avoiding harmful gambling practices.

In groups, learners are guided to:
- Work through comprehensive revision exercises covering: simple probability, complementary events, addition law, multiplication law, and tree diagrams
- Solve real-life problems: weather forecasting (probability of rain and lateness); team selection (probability of a class captain); fruit distribution
- Discuss: how probability applies to real life — weather, sports outcomes, disease vaccines, business decisions
- Explore using digital devices or other resources to simulate and explore probability experiments

Why is probability important in real-life situations?

- Mentor Mathematics Grade 9 pg. 239–255 (revision)
- Coins, dice, and coloured marbles/balls
- Revision exercise sheets
- Digital devices

- Written assessment - Oral questions - Peer assessment

Data Handling and Probability

Data Presentation and Interpretation - Mode of discrete data
Data Presentation and Interpretation - Mean of discrete data

By the end of the lesson, the learner should be able to:
- Identify the mode from a set of discrete data
- Find the modal class from a frequency table or tally chart
- Appreciate the mode as a measure of the most common value in a data set

- Each learner writes their favourite fruit on a card and drops it in a basket; count and record frequency of each fruit
- Identify the fruit chosen by most learners as the mode
- Find mode of sets of numbers and from tally charts (modal sport, modal vehicle colour)
- Discuss: mode is the value that appears most frequently; a data set can have more than one mode

How do we determine the most common value in a data set?

Grade 8 Mathematics Learner's Book
- Fruit cards/tally charts
- Digital resources
- Calculators
- Reference books

- Oral questions - Written assignments

Data Handling and Probability

Data Presentation and Interpretation - Median of discrete data

By the end of the lesson, the learner should be able to:
- Arrange discrete data in ascending or descending order
- Determine the median for odd and even numbers of data items
- Apply mean, mode and median to compare and summarise data

- Discuss: identify the middle finger on the hand as an analogy for the median
- Arrange data in ascending order; median = middle value for odd count; average of two middle values for even count
- Find median for data sets: ages of children, heights of learners, masses, COVID-19 testing centre figures
- Compare mean, mode and median for the same data set and discuss which measure best represents the data

How do we find the middle value in a data set?

Grade 8 Mathematics Learner's Book
- Calculators
- Digital resources

- Written assignments - Oral questions

Data Handling and Probability

Data Presentation and Interpretation - Review and application

By the end of the lesson, the learner should be able to:
- Apply all data presentation and interpretation skills to real-life situations
- Use IT to create graphs and calculate measures of central tendency
- Recognise the use of data representation and interpretation in real life

In groups, learners are guided to:
- Collect data from a class survey (shoe sizes, heights, favourite activities); draw bar graph and line graph
- Calculate mean, mode and median for the collected data set
- Use IT (spreadsheet) to create bar and line graphs and calculate averages
- Discuss real-life uses: hospitals use mean temperature; businesses use mode for stock planning; journalists use median income

How do we use data representation and interpretation in real life?

Grade 8 Mathematics Learner's Book
- Graph books/grid paper, ruler
- Calculators
- Digital resources

- Written tests - Oral questions - Observation

Data Handling and Probability

Data Presentation and Interpretation - Review and application

By the end of the lesson, the learner should be able to:
- Apply all data presentation and interpretation skills to real-life situations
- Use IT to create graphs and calculate measures of central tendency
- Recognise the use of data representation and interpretation in real life

In groups, learners are guided to:
- Collect data from a class survey (shoe sizes, heights, favourite activities); draw bar graph and line graph
- Calculate mean, mode and median for the collected data set
- Use IT (spreadsheet) to create bar and line graphs and calculate averages
- Discuss real-life uses: hospitals use mean temperature; businesses use mode for stock planning; journalists use median income

How do we use data representation and interpretation in real life?

Grade 8 Mathematics Learner's Book
- Graph books/grid paper, ruler
- Calculators
- Digital resources

- Written tests - Oral questions - Observation

Data Handling and Probability

Probability - Identifying events involving chance

By the end of the lesson, the learner should be able to:
- Identify events that are impossible, unlikely, likely or certain in real-life situations
- Describe the likelihood of events using appropriate vocabulary
- Recognise that there are events that happen by chance in real life

In groups, learners are guided to:
- Make chance cards labelled: CERTAIN, LIKELY, UNLIKELY, WILL NOT HAPPEN
- Discuss daily events and assign each a card: sun rising from east (certain), getting a head on a coin flip (likely), tomorrow being Friday if today is Monday (impossible when false)
- Discuss outcomes of flipping a coin (certain to land; unlikely to land on edge; equal chance of head or tail)
- Discuss outcomes of rolling a die (certain to get 1–6; impossible to get 7)

How do we describe the likelihood of an event happening?

Grade 8 Mathematics Learner's Book
- Chance word cards
- Coins, dice
- Digital resources

- Oral questions - Observation

Data Handling and Probability

Probability - Chance experiments

By the end of the lesson, the learner should be able to:
- Perform chance experiments involving spinning a colour wheel, flipping a coin and tossing a die
- Predict outcomes and compare predictions with actual results
- Show interest in chance experiments and their outcomes

In groups, learners are guided to:
- Make a colour wheel with equal and unequal colour sections; spin and record colour obtained each time
- Discuss: colour with largest section has highest likelihood of occurring
- Flip a coin multiple times; record heads and tails using a tally chart; compare results with prediction
- Toss a die; record each outcome; observe that each face has an equal chance of appearing
- Draw coloured balls from a bag one at a time; identify which colour is most/least likely

How do we carry out chance experiments?

Grade 8 Mathematics Learner's Book
- Colour wheels, coins, dice
- Coloured balls in a bag
- Digital resources

- Oral questions - Observation - Written assignments

Data Handling and Probability

Probability - Chance experiments

By the end of the lesson, the learner should be able to:
- Perform chance experiments involving spinning a colour wheel, flipping a coin and tossing a die
- Predict outcomes and compare predictions with actual results
- Show interest in chance experiments and their outcomes

In groups, learners are guided to:
- Make a colour wheel with equal and unequal colour sections; spin and record colour obtained each time
- Discuss: colour with largest section has highest likelihood of occurring
- Flip a coin multiple times; record heads and tails using a tally chart; compare results with prediction
- Toss a die; record each outcome; observe that each face has an equal chance of appearing
- Draw coloured balls from a bag one at a time; identify which colour is most/least likely

How do we carry out chance experiments?

Grade 8 Mathematics Learner's Book
- Colour wheels, coins, dice
- Coloured balls in a bag
- Digital resources

- Oral questions - Observation - Written assignments

Data Handling and Probability

Probability - Experimental probability

By the end of the lesson, the learner should be able to:
- Define experimental probability and write it as: P(event) = number of occurrences ÷ total number of trials
- Calculate experimental probability from results of chance experiments
- Show accuracy when recording and computing experimental probabilities

In groups, learners are guided to:
- Spin a colour wheel 50 times; record occurrences of each colour in a table
- Calculate experimental probability of each colour: occurrences ÷ total spins
- Flip a coin 20 times; calculate experimental probability of getting a head and of getting a tail
- Toss a die 20 times; calculate experimental probability of each face
- Draw coloured balls from a bag; calculate probability of each colour from the experiment

How do we calculate experimental probability?

Grade 8 Mathematics Learner's Book
- Colour wheels, coins, dice
- Coloured balls in a bag
- Calculators

- Written assignments - Oral questions

Data Handling and Probability

Probability - Experimental probability

By the end of the lesson, the learner should be able to:
- Define experimental probability and write it as: P(event) = number of occurrences ÷ total number of trials
- Calculate experimental probability from results of chance experiments
- Show accuracy when recording and computing experimental probabilities

In groups, learners are guided to:
- Spin a colour wheel 50 times; record occurrences of each colour in a table
- Calculate experimental probability of each colour: occurrences ÷ total spins
- Flip a coin 20 times; calculate experimental probability of getting a head and of getting a tail
- Toss a die 20 times; calculate experimental probability of each face
- Draw coloured balls from a bag; calculate probability of each colour from the experiment

How do we calculate experimental probability?

Grade 8 Mathematics Learner's Book
- Colour wheels, coins, dice
- Coloured balls in a bag
- Calculators

- Written assignments - Oral questions

Data Handling and Probability

Probability - Expressing experimental probability as fractions

By the end of the lesson, the learner should be able to:
- Express experimental probability outcomes as fractions in their simplest form
- Find unknown probability outcomes given the probability of the complementary event
- Show confidence when working with probability fractions

In groups, learners are guided to:
- Express experimental probabilities from coin flipping, die tossing and ball drawing as fractions in simplest form
- Use the relationship: P(tail) = 1 − P(head) to find complementary probabilities
- Calculate probability from real-life data: days of rainfall per month, defective bottles from a sample, injured players in a school team
- Solve problems: given P(head) = 0.3 = 3/10, find P(tail) as a fraction

How do we express experimental probability as a fraction?

Grade 8 Mathematics Learner's Book
- Coins, dice, coloured balls
- Calculators
- Digital resources

- Written assignments - Oral questions

Data Handling and Probability

Probability - Expressing experimental probability as a decimal or percentage

By the end of the lesson, the learner should be able to:
- Express experimental probability as a decimal
- Express experimental probability as a percentage
- Convert probability between fraction, decimal and percentage forms

In groups, learners are guided to:
- Toss a die 100 times; record occurrences of each outcome; express each probability as a fraction, then as a decimal, then as a percentage
- Convert probability fractions to decimals (divide numerator by denominator) and percentages (multiply decimal by 100)
- Solve problems: defective bottles probability as decimal; favourite breakfast choice as percentage
- Verify: sum of all probabilities for all outcomes = 1 (or 100%)

How do we express probability as a decimal or percentage?

Grade 8 Mathematics Learner's Book
- Dice, coins
- Calculators
- Digital resources

- Written assignments - Oral questions

Data Handling and Probability

Probability - Expressing experimental probability as a decimal or percentage

By the end of the lesson, the learner should be able to:
- Express experimental probability as a decimal
- Express experimental probability as a percentage
- Convert probability between fraction, decimal and percentage forms

In groups, learners are guided to:
- Toss a die 100 times; record occurrences of each outcome; express each probability as a fraction, then as a decimal, then as a percentage
- Convert probability fractions to decimals (divide numerator by denominator) and percentages (multiply decimal by 100)
- Solve problems: defective bottles probability as decimal; favourite breakfast choice as percentage
- Verify: sum of all probabilities for all outcomes = 1 (or 100%)

How do we express probability as a decimal or percentage?

Grade 8 Mathematics Learner's Book
- Dice, coins
- Calculators
- Digital resources

- Written assignments - Oral questions

Data Handling and Probability

Probability - Experimental probability (extended practice)

By the end of the lesson, the learner should be able to:
- Apply experimental probability to solve real-life problems
- Compare experimental probability values from different learners' experiments
- Recognise that experimental probability varies with number of trials

- Compare probability results from the same experiment done by different groups; discuss why results differ
- Discuss: as the number of trials increases, experimental probability gets closer to the theoretical value
- Solve real-life problems: probability of a school team playing on a given game day; probability of a randomly selected learner preferring a given breakfast
- Use IT games to simulate probability experiments (coin toss, die roll) with large numbers of trials

How does the number of trials affect experimental probability?

Grade 8 Mathematics Learner's Book
- Coins, dice
- Calculators
- Digital resources

- Written tests - Oral questions

Data Handling and Probability

Probability - Review and application

By the end of the lesson, the learner should be able to:
- Apply all probability skills to solve varied real-life problems
- Express probability outcomes in fractions, decimals and percentages
- Recognise that there are events that happen by chance in real life

In groups, learners are guided to:
- Solve mixed probability problems: identify likelihood of events, carry out experiments, calculate probability in fractions, decimals and percentages
- Discuss real-life contexts: weather forecasting, insurance, medical testing, sports predictions all use probability
- Use IT or games to play probability-based activities interactively
- Share and compare results; reflect on how probability helps in making decisions

How do we use probability to make decisions in real life?

Grade 8 Mathematics Learner's Book
- Coins, dice, coloured balls
- Calculators
- Digital resources

- Written tests - Oral questions - Observation

Data Handling and Probability

Probability - Review and application

By the end of the lesson, the learner should be able to:
- Apply all probability skills to solve varied real-life problems
- Express probability outcomes in fractions, decimals and percentages
- Recognise that there are events that happen by chance in real life

In groups, learners are guided to:
- Solve mixed probability problems: identify likelihood of events, carry out experiments, calculate probability in fractions, decimals and percentages
- Discuss real-life contexts: weather forecasting, insurance, medical testing, sports predictions all use probability
- Use IT or games to play probability-based activities interactively
- Share and compare results; reflect on how probability helps in making decisions

How do we use probability to make decisions in real life?

Grade 8 Mathematics Learner's Book
- Coins, dice, coloured balls
- Calculators
- Digital resources

- Written tests - Oral questions - Observation