Lesson Notes By Weeks and Term v5 - Grade 9

Data handling, probability and exam preparation (Grade 9) – Week 3 focus

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Subject: Mathematics

Class: Grade 9

Term: Term 4

Week: 3

Theme: General lesson support

Lesson Video

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Performance objectives

Lesson summary

Data handling and probability are essential skills that help us understand and interpret the world around us. From understanding statistics about crime rates in your community to predicting the chances of load shedding tomorrow, these concepts are relevant to everyday life in South Africa. This week's focus on exam preparation will equip you with the necessary tools and strategies to confidently tackle data handling and probability questions in your Grade 9 Mathematics exam. We will review key concepts, practice problem-solving techniques, and learn how to effectively manage your time during the exam.

Lesson notes

2.1 Measures of Central Tendency and Dispersion Mean: The average of a set of numbers. To calculate the mean, add up all the numbers and divide by the total number of values.

Formula:* Mean (x̄) = (∑x) / n, where ∑x is the sum of all values and n is the number of values.

Median: The middle value in a data set when the values are arranged in ascending order. If there are two middle values, the median is the average of those two.

Mode: The value that appears most frequently in a data set. A data set can have no mode, one mode (unimodal), or more than one mode (bimodal, multimodal).

Range: The difference between the highest and lowest values in a data set.

Example 1: Consider the following data representing the number of learners per class in a Grade 9 cohort: 35, 40, 32, 38, 40, 30, 35, 40,

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7. Mean: (35 + 40 + 32 + 38 + 40 + 30 + 35 + 40 + 37) / 9 = 337 / 9 ≈ 37.44 learners per class.

Median: First, order the data: 30, 32, 35, 35, 37, 38, 40, 40,

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0. The median is

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7. Mode: The number 40 appears most frequently (3 times).

Therefore, the mode is

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0. Range: 40 - 30 = 10. 2.2 Data Displays Histograms: Bar graphs used to represent the frequency distribution of continuous data. The bars touch each other, unlike bar graphs used for categorical data.

Pie Charts: Circular charts divided into sectors, where each sector represents a proportion of the whole. Pie charts are used to show the relative frequency of categorical data.

Box and Whisker Plots: Visual representations of data that show the minimum value, first quartile (Q1), median (Q2), third quartile (Q3), and maximum value. They provide a quick way to see the spread and skewness of data.

Example 2: Suppose we have the following data representing the ages of people waiting in a clinic queue: 5, 12, 18, 25, 30, 32, 35, 40, 45, 50, 55, 60, 65, 70,

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5. To create a box and whisker plot: Minimum: 5 Maximum: 75 Median (Q2): 35 Q1 (Median of lower half): 18 Q3 (Median of upper half): 55 You would then draw a box from Q1 to Q3, with a line marking the median. Whiskers extend from the box to the minimum and maximum values. This plot quickly visualizes the data's spread and central tendency. 2.3 Probability Probability is the measure of how likely an event is to occur. It is expressed as a number between 0 and 1, where 0 means the event is impossible and 1 means the event is certain.

Probability of an Event: P(event) = (Number of favorable outcomes) / (Total number of possible outcomes)

Combined Events: Independent Events: The outcome of one event does not affect the outcome of the other event. P(A and B) = P(A)

P(B)

Dependent Events: The outcome of one event affects the outcome of the other event. P(A and B) = P(A) P(B|A), where P(B|A) is the probability of B given that A has already occurred.

Mutually Exclusive Events: Events that cannot occur at the same time. P(A or B) = P(A) + P(B)

Example 3: A bag contains 5 red marbles and 3 blue marbles. What is the probability of drawing a red marble? P(Red) = 5 / (5 + 3) = 5/8 Example 4: A coin is flipped twice. What is the probability of getting heads on both flips? (Independent events) P(Heads on first flip) = 1/2 P(Heads on second flip) = 1/2 P(Heads on both flips) = (1/2) (1/2) = 1/4 Example 5: A box contains 10 sweets: 4 are lollipops and 6 are chocolates. You take one sweet, eat it, and then take another. What is the probability that you take a lollipop first and then a chocolate? (Dependent events) P(Lollipop first) = 4/10 P(Chocolate second | Lollipop first) = 6/9 (since there are now only 9 sweets left, and still 6 chocolates) P(Lollipop then Chocolate) = (4/10) (6/9) = 24/90 = 4/15 2.4 Exam Preparation Strategies Time Management: Allocate time to each question based on its marks. Don't spend too long on a single question. Move on and come back to it later if you have time.

Read Questions Carefully: Understand what the question is asking before attempting to answer it. Underline key information and instructions.

Show Your Work: Even if you don't get the final answer correct, you may get partial credit for showing your working steps.

Check Your Answers: If you have time, go back and check your answers to make sure they are reasonable and that you haven't made any careless errors. Practice, Practice, Practice: The more you practice, the more comfortable you will become with the concepts and problem-solving techniques. Work through past exam papers and practice questions. Guided Practice (With Solutions)

Question 1: The ages of 10 learners in a Grade 9 class are as follows: 14, 15, 14, 16, 15, 15, 14, 15, 16,

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5. Calculate the mean, median, mode, and range of their ages.

Solution: Mean: (14 + 15 + 14 + 16 + 15 + 15 + 14 + 15 + 16 + 15) / 10 = 149 / 10 = 14.9 years Median: First, order the data: 14, 14, 14, 15, 15, 15, 15, 15, 16,

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6. The median is the average of the 5th and 6th values: (15 + 15) / 2 = 15 years.

Mode: The number 15 appears most frequently (5 times).

Therefore, the mode is 15 years.