LESSON 1( Secondary)
• Subject : AS STATISTICS S1
• Grade: AS Level
• Date: -08-2023
• Topic : Data& Measure of Location
WALT: How do we find the measure of location
/measure of central tendency for the grouped
data?
SELF-PACED LEARNING ALGORITHM
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WALT:
How do we find the measure of location /measure of
central tendency for the grouped data?
WILF:
➢
Able to understand the difference between grouped and
ungrouped data(B).
➢
Able to apply the concept of measure of location(A)
➢
Able to analyze the data and able to evaluate the measure of
location for different types data.(A*)
STARTER:
Activity:
➢ State whether each of the following variables is qualitative or quantitative:
a) The height of a building
b) The color of a jumper
c) IQ of a person
d) Shoe size
e) Names of students in a school
➢ State which of the following statements are true:
a)
The weight of apples is discrete data.
b)
The number of apples on the trees in an orchard is discrete data.
c)
The amount of time it takes a train to make a journey is continuous data.
d)
Simhal collected data on car colours by standing at the end of her road
and writing down the car colours. The data she collected is quantitative.
SYLLABUS
S 1:
WST01/01
Statistics 1
Assessment Objectives:
AO1-Recall, select and use their knowledge of mathematical facts,
concepts and techniques in a variety of contexts.
AO4-Comprehend translations of common realistic contexts in
mathematics
AO5-Use contemporary calculator technology and other permitted
resources (such as formulae booklets or statistical tables) accurately
and efficiently
Learning Outcomes:
Candidates should be able to:
2.2 Measure of location; mean,
median and mode
Introduction:
Common Measures of Central Tendency/measure of
locations are:
✓ Mode
✓ Median
✓ Mean
✓ Percentiles
✓ Quartiles
What we have learned in IGCSE:-
Next page
Measure of spread:
Frequency Table
Flip Lesson:
Find the mean size of shoe for the given
frequency table.
Advantages and disadvantages
Mini Plenary :
The daily mean visibility, v metres, for Kuala Lumpur in May and
June was recorded each day. The data are summarised as follows:
May: n = 31, σ 𝑣 = 724 000
June: n = 30, σ 𝑣 = 632 000
a)
Calculate the mean visibility in each month.
b)
Calculate the mean visibility for the total recording period
Congratulations!
You have achieved the first WILF in mini
plenary.
• Please refer to the resources before starting the learning menu task, in case you have a
doubt.
• Please find the reference resources on Teams
Choose the task corresponding to your ‘Target Grade”.
Choosing tasks that supports your learning style will enable maximum progress.
After finishing your ‘Target Grade’ task ‘Progress’ to the next level. Reaching ‘A*’ is the ultimate
target.
Students with Even bias can attempt either Spatial or Verbal bias tasks.
Choose 2 more tasks for your home learning, preferably from a different learning style
Learning Menu ( 7 minutes)
Learning
Style
Applying (C/B)
Analysing / (A)
Evaluating / ( A*)
Spatial
Bias
Exercise 2D
Example
Exercise 2D
Question no 1
Exercise 2D
Question no 1
Verbal
Bias
Exercise 2B
Question no 1
Exercise 2B
Question no 2
Exercise 2B
Question no 5
Task:
Task:1
Q1: 4km
Q2:8km
Q3: 12.5km
2
a:1020
b:1017
1024.5
3
Q1:37
Q2:37
Q3:38
Self Assessment:
Plenary
WWW (What Went Well)
EBI (Even Better If)
On your note books…
write about how you
can improve your
work.