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Republic of the Philippines
UNIVERSITY OF NORTHERN PHILIPPINES Tamag, Vigan City
2700 Ilocos Sur
SENIOR HIGH SCHOOL AFFAIRS
UNIVERSITY OF NORTHERN PHILIPPINES
SEA TEACHER PROJECT
VIGAN CITY, PHILIPPINES
FEBRUARY, 2018
MEAN, VARIANCE, AND STANDARD DEVIATION OF
DICRETE RANDOM VARIABLE
A DETAILED LESSON PLAN
Prepared by:
RIKA AULIA NANDA
1406103020062
HELEN R. SIEMBRE
Cooperating Teacher
A LESSON PLAN FOR FINAL DEMONSTRATION – FEBRUARY 13, 2018
A. Component Identity
1. School : Senior High School Affairs
2. Subject : Statistics and Probability
3. Class/Semester: 11 – 2nd Semester
4. Time : 12:30 – 01:30
5. Topic : Random Variables
6. Sub-Topic : Mean, Variance and Standard Deviation
B. Objectives
Through a lesson and group collaboration students will be able to :
1. Illustrate the mean, variance, and standard deviation of discrete random variable
2. Calculate the mean, variance, and standard deviation of discrete random variable
3. Solve problems involving mean, variance, and standard deviation of probability
distribution
C. Subject Matter
1. Topic : Random Variables
2. References : Mercado, J.P., and Fernando B. Orines. 2016. Next Century
Mathematics Statistics and Probability. Philippines: Phoenix Publishing House,
Inc.
3. Materials : Power Point, Marker, Board, Activity Sheets, Coins
D. Methodology
1. Elicit ( Review/ recall )
The teacher will ask students about the lesson that they have learned in the
previous meeting regarding random variables
2. Engage (Motivation)
The teacher will elicit students responses about the probability of tossing coins
3. Development of the lesson
a. The teacher will show the topic about mean, variance and standard
deviation using power point.
b. The teacher will discuss how to find mean, variance and standard
deviation and give some examples.
c. The students will be divided into 5 groups. Then, each group will be
giventhe group activity in finding the mean, variance and standard
deviation. They will be given 15 minutes to discuss about their responses
regarding the group activity.
d. The students will present the result of the discussion in front of the class.
E. Assesment / Evaluation
After the discussion, the teacher will administer a short quiz.
F. Assignment / Agreement
The teacher will make a conclusion and tell the students what will be the next topic.
TEACHER’S ACTIVITY
STUDENTS’ ACTIVITY
I. PREPARATION
Prayer
Good Morning everyone!
There’s no better way of doing it than
acknowledging the goodness of our
Creator. Let’s pray by our own faith
before we start the lesson.
Checking of Attendance
Where are our classroom monitors?
Is there anyone who is absent? Check
your classmates and please report.
Statement of Objectives
By the end of the lesson, hopefully you
are able to
• Illustrate the mean, variance, and
standard deviation of discrete
random variable
• Calculate the mean, variance, and standard deviation of discrete
random variable
• Solve problems involving mean, variance, and standard deviation
of probability distribution
Recall
Can someone give me a recap of our
lesson last time?
In tossing 3 coins, how many probability
in getting 3 heads?
That was wonderful! Yes, that is 1/8.
Thank you for that wonderful responses.
Motivation
Now, look at what is in my hand ?
Yes, you are correct. This is the dices. We
have 2 dices here. What do you usually
the dices ?
A student will be called to lead the prayer
The class monitor will report if someone
is absent.
Ma’am all boys are present.
All girls are present except….
Last meeting, we discussed about the
random variables. I learned that the
random variable is the variable which
assigning values determined by chance.
Its 1/8 Ma’am !
It is dices ma’am!
We role the dices ma’am.
Yes, it’s true dear. What for we role the dices?
Yes, and then what we got after playing
dices?
Yes, very good. Then, let’s role the dices.
In indonesia, we called it by dadu. Okay
guys, let’s role the dices until 5 times.
Please someone write the outcomes on
board.
We finished role the dices, what we got
guys ?
Compute the value guys! Add all of the
numbers and divided by how many trial
experiment that we had done?
So the result is ?
Okay guys, according to the computed
value that we got, we had ... as the result.
We called it mean right ?
The mean is the average, where you add
up all the numbers and then divide by the
number of numbers.
Do you understand guys ?
Okay, Today, you will learn how to find
the mean, variance and standard deviation
of discrete random variable.
For playing ma’am! hahaha
We got numbers and we add the numbers
of the dices ma’am!
Okay ma’am. Oo I see ma’am.
Yes, ma’am.
We got, ....
.../.... = ... ma’am!
It is....
Yes, ma’am!
Oo I see ma’am ..
Yes, sure ma’am.
Alright, ma’am.
II. PRESENTATION
Now, I will be going to present to you
about the first topic.
Showing a Power Point
Slide 1
Mean of Discrete Random Variable
The mean of a discrete random variable X
is also called the expected value of X. The
discrete random variable X assumes
values or outcomes in every trial of an
experiment with their corresponding
probabilities.
Alright, Ma’am.
The students listen the discussion of the
teacher.
The expected value of X is denoted by E(X) / µ
Do you understand the topic guys ?
What is mean ?
Brilliant! Can you read the next slide?
Yes, that’s true!
Okay. May I show you some example!
Example 1.
A researcher surveyed the households in a
small town. The random variable X
represents the number of college
graduates in the households. The
probability distribution of X is shown
below:
x 0 1 2
P(x) 0.25 0.50 0.25
Find the mean or expected value of X.
I answer the question by using the formula
of mean.
Are you understand guys ?
You just need to multiply x and P(x) then
get the sum of it. That’s it guys! The table
will be like this :
X P(x) x.P(x)
0 0.25 0
1 0.50 0.50
2 0.25 0.50
∑[𝑥𝑃(𝑥)]
= 1.00
Can you tell me what is the result of the
mean?
Yes, correct! The expected value is 1. So
the average number of college graduates
in the household of the small town is one.
Yes Ma’am!
Mean is the Expected Value of X Ma’am!
The mean or expected value of a discrete
random variable x is computed using the
following formula:
E (X) = ∑[𝑥 𝑃 (𝑥)]
Sure, Ma’am!
The students will pay attention while the
teacher solve the example.
Okay, Ma’am!
It is 1.00 Ma’am!
Yes, Ma’am.
Is it clear guys ?
Okay. Can we proceed to the next slide
and read it for me guys ?
Very good guys!
Do you understand what is that ?
Okay, I will explain it to you.
Guys, you have to know the symbol of the
variance is “small letter sigma”
I will show you the formula of the
variance for you to understand well.
𝑉𝑎𝑟(𝑋) = ∑[ (𝑥 − 𝜇)2𝑃(𝑥)] OR
σ2 = ∑[ (𝑥 − 𝜇)2𝑃(𝑥)]
I will again discuss what variance is all
about.
This means that you are going to subtract
the values of x to mean, then you are
going to squared it, after that you are
going to multiply it from the probability
of x, then get the sum of it.
Understand class?
I will give you the same example, but we
are going to find the variance of the X, so
lets add another 3 columns from the table
above.
Aah, yaa sure! You may.
While the student copy the topic, I add
the another 3 columns to find the
variance.
Then I ask to student. Any body who can
still remember what i’ve told you to a
while ago in finding variance?
Can you tell once again ?
That’s clear Ma’am!
Of course Ma’am !
The variance of a random variable X is
denoted by σ 2
The variance of a random variabe is the
expected value of the square of the
difference between the assumed value of
random variable and the mean.
Not really Ma’am.
Yes Ma’am!
Yes Ma’am!
Ooo, i see Ma’am!
Yes Ma’am!
Wait Ma’am! We will copy first!
The students are copying.
Yes Ma’am!
Yes Ma’am. We are going to subtract the
values of x to mean, then we are going to
squared it, after that we are going to
Great guys. Very good !
Look at the table. So the result of the
variance is .....
Is it clear with variance guys?
Okay, that’s good!
Now, lets talk about the standard
deviation!
Kindly read the slide guys ?
Yes students, and then ?
Yes, that’s the formula of the standard
deviation. That’s is so easy, we just need
to square root the result of the variance.
Guys, lets see the example of standard
deviation.
Yes, dear. Sure, we can, because we just
have to square root of the variance.
So, what is the result guys ?
Yeah, very good student. So, is that clear
for mean, variance and standard deviation
?
So good.
You have to know that all of this formulas
are related to each others, so if we want to
find the variance, we have to know first
the mean, same goes with the standard
deviation. If we want to find the standard
deviation, we have to know first the
variance. That’s the point.
Do you understand guys?
So glad to hear that guys!
multiply it from the probability of x, then get the sum of it.
..... Ma’am !
Yes, Ma’am!
The standard deviation of a discrete
random variable X is written as σ.
It is square root of the variance.
The standard deviation is computed as :
σ = √∑[ (𝑥 − 𝜇)2𝑃(𝑥)]
Yes ma’am. We understand ma’am.
Ma’am, can we just add the row in same
table above ?
The result is ... ma’am
Yes ma’am!
Yes ma’am!
Thank You, ma’am!
Now, I will write another example on the board. The example is :
Determine the variance and standard
deviation of the following probability
mass function:
x 0 1 2 3 4
P(x) 0.1 0.2 0.3 0.3 0.1
Guys, do you know how to answer the
question?
Okay guys, please fill in the blank , write
your answer on the board.
Who wants to fill the answer ? please
come in front of the class.
Yes, sure dear!
Yes, please everyone fill the blank until
the table is complete!
Very good students! Thank you!
Yes ma’am!
Yes, Ma’am!
Me ma’am!
Me ma’am!
Yes ma’am!
Ma’am, it is done!
You’re welcome ma’am!
III. PRACTICE
Group Discussion
Now, after you have understood about
mean, variance and standard deviation, I
want to divide you into five groups.
Then, each group will discuss about the
questions in the group activity sheets. You
have 10 minutes to discuss about your
response. Afterwards, you will match
your answer with the heart shape that I
had prepare. So you have to paste in the
kartunila on the board until the kartunila
completed! The group that posted the
most answers will get the highest points.
One patch, you’ll get one point.
Any question about the instruction?
Class, class. Have you done with the
discussion?
Okay, now, who wants to take the first
chance?
Guys, please go forward to paste your
answer !
Yes/No, Ma’am.
Yes ma’am !
Me, Ma’am!
Yes ma’am!!
IV. PURPOSEFUL CLOSURE
Conclusion
Before we end the class, is there anyone
wants to conclude what we have learned
today?
Yes, that’s correct guys, very well.
So, the mean of a discrete random
variable x is the expected value of x. The
variance of a random variable x is the
expected value of the square of the
difference between the assumed value of
random variable and the mean. And the
last, the standard deviation of a random
variable X is the square root of the
variance.
Short Quiz
Find the mean, variance and standard
deviation of the following situation. An
officer at a prison questioned each inmate
to find out how many times the inmate has
been convicted. The officer came up with
the following table that shows the relative
frequencies of x:
x 0 1 2 3 4
P(x) 0.16 0.53 0.20 0.00
8
0.03
Next Topic
Next meeting, we will learn about
sampling and sampling distribution.
Closing Prayer
Let’s pray together by our own faith..
Goodbye class.
We have learned about mean, variance
and standard deviation Ma’am.
It has its own formulas. The formulas
realted to each other.
Good bye Ma’am.
Group Name : …………………………………………………..
Member’s Name : …………………………………………………..
& Presense Number …………………………………………………..
…………………………………………………..
…………………………………………………..
………………………………………………….
Class :
Learning Content : Mean, Variance, and Standars deviation of Discrete Random
Variable
Indicators :
1. Student will be able to illustrate the mean, variance, and standard deviation of discrete
random variable
2. Student will be able to calculate the mean, variance, and standard deviation of discrete
random variable
Direction :
1. Fill the Group’s Identity
2. Work in your group.
3. Answer the question by fill in the blank using pen
4. If any question, raise your hand and tell to teacher
1. When four coins are tossed, the probability distribution for the random variable X
representating the number of heads. Compute the mean, variance and standard deviation
of the probability distribution.
x P(x)
0 .....
1 .....
2 .....
3 .....
4 .....
Answer :
x P(x) x P(x) x-μ (𝐱 − 𝛍)2 (𝐱 − 𝛍)2 P(x)
0 ..... ..... ..... ..... .....
1 ..... ..... ..... ..... .....
2 ..... ..... ..... ..... .....
3 ..... ..... ..... ..... .....
4 ..... ..... ..... ..... .....
∑(𝐱 𝐏(𝐱)) = ..... ∑[(𝐱 − 𝛍)𝟐 𝐏(𝐱)] = .....
GROUP ACTIVITY
TASK
μ = ........................ ( write the formula)
= ........................
So, the mean of X is ................................., the variance of X is ......................................,
and the standard deviation of X is ..................................... .
2. Find the mean, variance and standard deviation of the probability distribution of the
random variable X
x 11 12 13 14 15
P(X) 0.1 0.3 0.3 0.1 0.2
Answer :
x P(x) x P(x) x-μ (𝐱 − 𝛍)2 (𝐱 − 𝛍)2 P(x)
..... ..... ..... ..... ..... .....
..... ..... ..... ..... ..... .....
..... ..... ..... ..... ..... .....
..... ..... ..... ..... ..... .....
..... ..... ..... ..... ..... .....
∑(𝐱 𝐏(𝐱)) = ..... ∑[(𝐱 − 𝛍)𝟐 𝐏(𝐱)] = .....
μ = ........................ ( write the formula)
= ........................
σ2 = ......................... ( write the formula)
= .........................
σ 2 = ......................... ( write the formula)
= .........................
σ = √. . . . . . . . . . . . . . . .( write the formula)
= √. . . . . . . . . . . . … . = .........................