GRADES 1 TO 12
DAILY LESSON
LOG
School KABASALAN SCIENCE AND TECH. HS
Teacher IMEE D. MALANG
Teaching
January 17, 2024
Date and
8:00 – 9:00 A.M.
Time
Grade Level 12
Learning Area Entrepreneurship
Quarter SECOND
CLASSROOM OBSERVATION 2
I. OBJECTIVES
A) Content Standards
B) Performance
Standards
C) Learning
Competencies/
Learning
Objectives
Write the LC code for each
The learner demonstrates understanding of finding the answers to the research
questions.
The learner is able to analyze and interpret the data.
MELC: Gathers and analyzes data with intellectual honesty using suitable techniques
MELC Code:
Specific Learning Objectives:
a. Analyze the gathered data.
b. Use appropriate statistical tool (correlation).
c. Interpret the data.
II. CONTENT
Interpretation of Data
III. LEARNING
RESOURCES
A) References
1. Teacher’s Guide
Pages
2. Learner’s
Materials Pages
3. Textbooks Pages
4. Additional
Materials from Learning
Resource (LR)
B) Other Learning
Resources
IV. PROCEDURES
Preliminary Activities
Prayer
Greetings
Attendance
Learning Commitment
GROUP REWARD:
A) Reviewing previous
lesson or presenting the
new lesson
The class will be divided into 4 groups. Each performing group will be given a
token/ star and at the end of the class they will be able to exchange their token/
star in the class store.
Activity 1: REVIEW: WHAT AM I
*What do you call a sampling technique where every member has an equal chances of
being selected? Simple Random Sampling
*What formula is used to calculate the sample size needed when you don’t have
information about the population’s behavior? Slovin’s Formula
*It is the entire group you want to study. Population
*It is the subset of the population you select. Sample
*What do you call a sampling technique where every nth member of the population is
selected? Systematic Sampling
Address: F.L. Peña, Kabasalan, Zamboanga Sibugay
Email Address: ksths.scitechista@gmail.com
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Activity 2: Plot
Plot the following points in the rectangular coordinate system.
B) Establishing a purpose
for the lesson
In geometry, a Cartesian coordinate system in a plane is a coordinate system
that specifies each point uniquely by a pair of real numbers called coordinates,
which are the signed distances to the point from two fixed perpendicular
oriented lines, called coordinate lines, coordinate axes or just axes (plural of
axis) of the system.
Activity 3: Describe Me!
Directions: Analyze the pictures below. Write a simple description base on your
observation.
C) Presenting
examples/instances of
the new lesson
https://shorturl.at/IgvXK
https://shorturl.at/htq5X
https://shorturl.at/IgvXK
Data Analysis and Interpretation
*The teacher will discuss Data Analysis and Interpretation.
D) Discussing new
concepts and practicing
new skills #1
See Annex 1 for the lesson and slides.
Address: F.L. Peña, Kabasalan, Zamboanga Sibugay
Email Address: ksths.scitechista@gmail.com
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Activity 4: Describe My Pattern
Example 1: Age and Weight of Children
Construct a scatterplot for the following data and use it to comment on
between the variables. Then interpret the result.
E) Discussing new
concepts and practicing
new skills #2
Child
Age, X
Weight, Y
1
7
12
2
6
8
3
8
12
4
5
10
5
6
11
6
9
13
the form, direction, and strength
Pearson Correlation Coefficient
The most common coefficient of correlation is known as the Pearson product-moment
correlation coefficient, or Pearson’s r. It is a measure of the linear correlation
(dependence) between two variables X and Y, giving a value between +1 and −1. It
was developed by Karl Pearson from a related idea introduced by Francis Galton in the
1880s.
When conducting a statistical test between two variables, it is a good idea to conduct a
Pearson correlation coefficient value to determine just how strong that relationship is
between the two variables. If the coefficient value is in the negative range, then that
means the relationship between the variables is negatively correlated, or as one value
increases, the other decreases. If the value is in the positive range, then that means
the relationship between the variables is positively correlated, or both values increase
or decrease together.
Address: F.L. Peña, Kabasalan, Zamboanga Sibugay
Email Address: ksths.scitechista@gmail.com
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https://tinyurl.com/458e359m
Example 2. Newborn’s weight and length
Imagine that you’re studying the relationship between newborns’ weight and length.
You have the weights and lengths of the 10 babies born last month at your local
hospital. After you convert the imperial measurements to metric, you enter the data in a
table:
Weight (kg)
3.63
3.02
3.82
3.42
3.59
2.87
3.03
3.46
3.36
3.3
Length (cm)
53.1
49.7
48.4
54.2
54.9
43.7
47.2
45.2
54.4
50.4
Activity 5:
Construct a scatterplot for the following data and use it to comment on
and strength between the variables. Then interpret the result.
F) Developing mastery
Age of a
person,
years
Weight,
kg
the form, direction,
11
12
13
14
15
16
17
18
19
20
40
42
38
35
45
51
48
48
50
47
Age of a
car,
years
0.5
1
1.5
2
3
4
4.5
5
6
7
Mileage,
km/L
16
15
10
12
10
12
11
10
11
8
(Leads to Formative
Assessment 3)
Activity 6: It’s your time to Apply!
Group 1: Age and weight (kg)
(Find the value of Pearson coefficient r. Give your conclusion about the variables of the study).
Group 2: Height (cm) and weight (kg)
(Find the value of Pearson coefficient r. Give your conclusion about the variables of the study).
G) Finding practical
applications of concepts
and skills in daily living
Group 3: Age and shoe size (in)
(Find the value of Pearson coefficient r. Give your conclusion about the variables of the study).
Group 4: Weekly allowance and sleeping hours.
(Construct a scatterplot for the following data and use it to comment on the form, direction, and strength
between the variables).
Group 5: Age and average of books read in a week
(Construct a scatterplot for the following data and use it to comment on the form, direction, and strength
between the variables).
Address: F.L. Peña, Kabasalan, Zamboanga Sibugay
Email Address: ksths.scitechista@gmail.com
4
SHOOT IN THE BASKET
Each student will be given a colored piece of paper. Every color is assigned with a
task/question to be done or answered. Once they are done, they will be required to roll
their paper and shoot it on the basket at the center.
H) Making
generalizations and
abstractions about the
lesson
Name one important thing you learned from today's lesson
What question do you still have about the lesson?
1. A study examined the number of hours students spent playing sports per week and
their average GPA. It was determined that the relationship between these two
quantities was linear and the correlation coefficient was -0.78. Which conclusion can be
made based on the findings of this study?
A) There is a strong positive correlation between hours spent playing sports and GPA.
B) There is a weak negative correlation between hours spent playing sports and GPA.
C) There is a strong negative correlation between hours spent playing sports and GPA.
D) There is no correlation between hours spent playing sports and GPA.
2. A study compared the amount of rainfall in a region and the yield of corn crops in
that region. It was determined that the relationship between these two quantities was
linear and the correlation coefficient was 0.65. Which conclusion can be made based
on the findings of this study?
A) There is a strong positive correlation between rainfall and corn yield.
B) There is a moderate positive correlation between rainfall and corn yield.
C) There is a strong negative correlation between rainfall and corn yield.
D) There is no correlation between rainfall and corn yield.
I) Evaluating learning
3. A study observed the daily temperature and the number of cups of hot chocolate
sold at a cafe. It was determined that the relationship between these two quantities was
linear and the correlation coefficient was -0.89. Which conclusion can be made based
on the findings of this study?
A) There is a weak negative correlation between temperature and hot chocolate sales.
B) There is a strong negative correlation between temperature and hot chocolate sales.
C) There is a strong positive correlation between temperature and hot chocolate sales.
D) There is no correlation between temperature and hot chocolate sales.
4. A study analyzed the number of advertisements a company ran and the company's
total sales. It was determined that the relationship between these two quantities was
linear and the correlation coefficient was 0.95. Which conclusion can be made based
on the findings of this study?
A) There is a weak positive correlation between advertisements and sales.
B) There is a strong negative correlation between advertisements and sales.
C) There is a strong positive correlation between advertisements and sales.
D) There is no correlation between advertisements and sales.
5. A study measured the age of cars and their resale value. It was determined that the
relationship between these two quantities was linear and the correlation coefficient was
-0.82. Which conclusion can be made based on the findings of this study?
A) There is a moderate positive correlation between age and resale value.
Address: F.L. Peña, Kabasalan, Zamboanga Sibugay
Email Address: ksths.scitechista@gmail.com
5
B) There is a strong negative correlation between age and resale value.
C) There is a strong positive correlation between age and resale value.
D) There is no correlation between age and resale value.
J) Additional Activities
for
application
or
remediation
V. REMARKS
VI. REFLECTION
A) No. of learners who
earned 80% formative
assessment
B) No. of learners who
require additional activities
for remediation
C) Did the remedial lesson
work? No. of learners who
have caught up with the
lesson.
D) No. of learners who
continue
to
require
remediation
E) Which of my teaching
strategies worked well?
Why did these work?
F) What difficulties did I
encounter
which
my
principal or supervisor can
help me solve?
G) What innovation or
localized materials did I use
/discover which I wish to
share with other teachers?
Prepared by
Observed by
IMEE D. MALANG
SHS Teacher II
Address: F.L. Peña, Kabasalan, Zamboanga Sibugay
Email Address: ksths.scitechista@gmail.com
APRIL JOY S. PECATO, EdD
Secondary School Principal II
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