School:    BANTAYAN NHS-BARAS DIUTAY EXT.
Grade Level:   11
              DAILY                                                                 Learning
             LESSON            Teacher:          DARYL SHAREN MAE D. SAUSE             Area:    STATISTICS & PROBABILITY
                LOG          Date/Time:               FEBRUARY 28, 2023             Quarter:    THIRD QUARTER
   I.       OBJECTIVES
A. Content Standards:
                                          The learner demonstrates understanding of key concepts of random variables
                                          and probability distributions.
B. Performance Standards:
                                            The learner is able to apply an appropriate random variable for a given real-
                                          life problem (such as in decision making and games of chance).
C. Learning
    Competencies/Objectives:             Interprets the mean and the variance of a discrete random variable.
Write the LC Code for each               M11/12SP-IIIb-3
   II.      CONTENT                     Random Variables and Probability Distributions
   III.     LEARNING
            RESOURCES
   A. References
  1. Teacher’s Guide Pages
  2. Learner’s Materials Pages
  3. Textbook Pages
  4. Additional Materials from
       Learning Resource (LR)
       portal
  5. Other Learning Resources
   IV.      PROCEDURES
A. Reviewing Previous Lesson or
   Presenting the New Lesson
1. Establishing a Purpose for the       •The purpose of this lesson is to help students understand how to interpret the
   Lesson                               mean and the variance of a discrete random variable, and to show them how
                                        these measures can be used to describe the properties of a probability
                                        distribution.
2. Presenting Examples/Instances of     •Begin by introducing the concept of a discrete random variable and providing
   the Lesson                           examples of discrete random variables (e.g. the number of heads in 10 coin flips,
                                        the number of cars that pass through a particular intersection in an hour).
                                        •Show student’s how to calculate the mean and variance of a discrete random
                                        variable using the formulas E(X) = ∑xP(x) and Var(X) = ∑(x-E(X))^2P(x),
                                        respectively.
                                        •Provide examples of probability distributions for different random variables, and
                                        use these examples to illustrate the concepts of mean and variance.
                                        •Have students practice calculating the mean and variance of simple probability
                                        distributions, and encourage them to think about what these measures tell us
                                        about the distribution.
3. Discussing New Concepts and          •Discuss with the students how the mean of a discrete random variable
   Practicing New Skills #1             represents the center of its probability distribution, and how the variance
                                        represents the spread of the distribution.
                                        •Use examples to show how the mean and variance can be used to compare
                                        different distributions.
                                        •Have students practice interpreting the mean and variance of probability
                                        distributions, and explain how these measures can help us understand the
                                        properties of a distribution
4. Developing Mastery                   •Provide more challenging examples of probability distributions, and ask
   (Leads to Formative Assessment       students to calculate the mean and variance.
   3)                                   •Have students compare and contrast different distributions based on their mean
                                        and variance, and explain the implications of these differences.
                                        •Encourage students to ask questions and work collaboratively to deepen their
                                        understanding of the concepts.
5. Finding Practical Applications of    •Show students how the concepts of mean and variance can be applied to real-
   Concepts and Skills in Daily
    Living                              world situations, such as analyzing data on test scores or stock prices.
                                        •Discuss how understanding the properties of probability distributions can be
                                        useful in fields such as statistics, economics, and finance.
 6. Making Generalizations and          •Have students reflect on what they have learned about the mean and variance
    Abstractions about the Lesson       of a discrete random variable, and how these measures can be used to describe
                                        the properties of a probability distribution.
                                        •Encourage students to make connections between these concepts and other
                                        mathematical ideas, such as standard deviation and correlation.
 7. Evaluating Learning                 •Assess student understanding through a quiz or other form of assessment, and
                                        provide feedback to help students improve their understanding of the material.
                                        •Provide opportunities for students to ask questions and receive feedback
                                        throughout the lesson.
 8. Additional Activities for           •Provide additional practice problems or real-world applications for students who
    Application or Remediation          need extra support.
                                        •Encourage students to explore more advanced topics related to probability
                                        distributions, such as the central limit theorem or hypothesis testing.
    V.        REMARKS
    VI.       REFLECTION
A. No. of learners who earned 80% in
   the evaluation
B. No. of learners who require
   additional activities for
   remediation
C. Did the remedial lessons 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
   work well? Why did this work?
F. What difficulties did I encounter
   which my principal or supervisor
   can help me solve?
G. What innovations or localized
   materials did I use/discover which
   I wish to share with other
   teachers?
             PREPARED BY:
             DARYL SHAREN MAE D. SAUSE
             MATHEMATICS TEACHER
             CHECKED BY:
             LEA S. ANTONIEGO
             HEAD TEACHER I