DATE: JAN. 22, 2019 DATE: JAN. 23, 2019 DATE: JAN. 24, 2019 DATE: JAN.
DATE: JAN. 24, 2019 DATE: JAN. 25, 2019
TUESDAY WEDNESDAY THURSDAY FRIDAY
Content Standards The learner demonstrates understanding of key concepts of tests of hypotheses on the population mean and
population proportion.
Performance Standards The learner is able to perform appropriate tests of hypotheses involving the population mean and population
proportion to make inferences in real-life problems in different disciplines.
I. OBJECTIVES: At the end of the lesson the At the end of the lesson the At the end of the lesson the
students should be able to: students should be able to: students should be able to:
1. Differentiate null hypothesis 1. Define the Level of 1. Identify the rejection period in
SECTIONS: COOKERY 1, COOKERY 2 and Alternative Hypothesis. A SEMI-DETAILED
significance. LESSON PLAN IN a given statistical hypothesis.
ANIMAL PROD. & HUMSS STATISTICS
2. Formulate a null hypothesis and AND PROBABILITY
2. Hypothesize the level of11 2. Interpret the rejection period in
alternative hypothesis in a given significant. a statistical hypothesis.
problem. 3. Accelerate the students’ 3. Accelerate the students’
3. Appreciate the difference knowledge in determining the knowledge in determining the
between null hypothesis and level of significance. level of significance.
alternative hypothesis.
II. SUBJECT MATTER
A. TOPIC STATISTICAL HYPOTHESIS LEVEL OF SIGNIFICANCE PERIOD OF REJECTION
B. RESOURCES Internet, books, articles Internet, books, articles Internet, books, articles
C. INSTRUCTIONAL Meta-cards, Manila paper, Meta-cards, Manila paper, Meta-cards, Manila paper,
cartolina, chalk, eraser cartolina, chalk, eraser cartolina, chalk, eraser
MATERIALS
III. LEARNING PROCEDURES PRAYER PRAYER PRAYER
CHECKING OF ATTENDANCE CHECKING OF ATTENDANCE CHECKING OF ATTENDANCE
A. PREPARATION CHECKING OF ASSIGNMENTS REVIEW CHECKING OF ASSIGNMENTS
B. MOTIVATION The teacher shows different data (The teacher shows some (The teacher shows a diagram that
from the given statistics of scores questions about percentage: states a Decision Errors in a Legal
in a basketball. What is 10% of 100? etc.) Trial. What are H0 and H1?)
C. ANALYSIS What is your idea on the scores of What do you think that I apply If you are the defendant, which is
Stephen Curry in the game with the percentage in our discussion the worse error? Why?
Lebron James? class? (Some students give their
brief ideas) (The students give their different
Class, studying statistics is very We cannot get the level of ideas on the given statistical
important in every decision; did significance if we are not master hypothesis.
you think that the judges are unfair in solving percentage and this is
on their decisions when it comes to very important especially in your
a contest? They are following the research proposal.
rubrics and before they decide they
always use statistics.
There are two types of a statistical
hypothesis: 1. Null Hypothesis (H 0);
and 2. Alternative Hypothesis (H1).
(the teacher discuss further)
D. ABSTRACTION Null hypothesis is a statistical The level of significance is Critical or Rejection Region is the
hypothesis that states there is no defined as the probability of range of values for the test value
