Cette leçon contient 13 diapositives, avec diapositives de texte.
La durée de la leçon est: 45 min
Éléments de cette leçon
Statistics
3. Representing data
Slide 1 - Diapositive
Planning
- Review previous lesson
-Introduction (Activity)
-New theory
-Activity
Slide 2 - Diapositive
Review
Slide 3 - Diapositive
Introduction
- Page 61 MY1 book
Activity: Representing quantitative data
timer
10:00
Slide 4 - Diapositive
Slide 5 - Diapositive
Representing data
Graphs & charts
Slide 6 - Diapositive
Representing data
Graphs & charts
- Histograms and barcharts
- Line graphs.
- Pie charts
- Pictographs
- Scatter plots
Slide 7 - Diapositive
Slide 8 - Diapositive
bar graph allows you to compare and contrast metrics (averages, sums, etc.) across different categories while Histogram allows you to view the distribution, or relative frequencies, of values in a dataset.
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Slide 10 - Diapositive
1. Histograms vs. Bar Charts
Histogram:
Use when: You want to show the distribution of continuous data (e.g., ages, heights, test scores).
Key feature: Bars touch each other because the data is continuous.
Example: Number of students in different age ranges (10–12, 13–15, etc.).
Bar Chart:
Use when: You want to compare categories of discrete data.
Key feature: Bars are separated because the categories are distinct.
Example: Number of students in each grade (Grade 6, Grade 7, Grade 8).
Slide 11 - Diapositive
Histogram
Example: Frequencies of student ages.
Use for: Showing the distribution of continuous data (e.g., ages).
La durée de la leçon est: 45 min
