SlideShare a Scribd company logo
Give your insights
about the word
“Random”
In statistics, when
we say random, it
has something to
do with probability
or chances.
Lesson 1.1
Introduction to Random
Variables
Learning Competency
At the end of the lesson, the learners should
be able to do the following:
● Illustrate a random variable (discrete and
continuous) [M11/12SP-IIIa-1].
Objectives
1. Define a random variable.
2. Cite real-life situations using random
variables.
Check-up Questions:
Directions:
1. Fill in the KW chart
2. Indicate what you know about the subject and what
you want to know about Statistics and Probability.
3. Random students will present the output.
Group Activity
Check-up Questions:
1. How did you find the activity class?
2. What have you realized after accomplishing the
activity?
3. Why is there a need to study Statistics and
Probability?
Learn about It!
A random experiment is an experiment that can be
repeated numerous times under the same conditions.
The results must be independent of one another.
Example:
Tossing a coin is a random experiment.
Random Experiment
Learn about It!
An outcome is the result of a random
experiment.
Example:
The possible outcomes of tossing a coin are
head and tail.
Outcome
Learn about It!
A sample space ­
is the set of possible outcomes
of a random experiment; denoted by a capital
letter, usually .
Example:
The sample space of tossing a coin is .
Sample Space
Learn about It!
A random variable is a function that associates a
numerical value to every outcome of a random
experiment; denoted by a capital letter, usually .
The domain is the sample space, and the range is
some set of real numbers.
Random Variables
Learn about It!
Example:
Suppose represents the number of heads that
can appear in tossing a coin. The possible values
of the random variable are 0 and 1.
Random Variables
Try it!
Let’s Practice
Example 1: Let be a random variable that denotes the result
of rolling a die. What are the possible values of ?
Solution to Let’s Practice
Example 1: Let be a random variable that denotes the result
of rolling a die. What are the possible values of ?
Solution:
The sample space of rolling a die is Thus, the possible values
of are and .
Try it!
Let’s Practice
Example 2: A coin is flipped three times. If represents the
number of tails of the outcome, what are the possible values
of ?
Solution to Let’s Practice
Solution:
1. List the possible outcomes of the experiment.
Example 2: A coin is flipped three times. If represents the number of tails of
the outcome, what are the possible values of ?
This can be done using a table or tree diagram. Let
represent heads and represent tails.
Solution to Let’s Practice
Solution:
1. List the possible outcomes of the experiment.
Example 2: A coin is flipped three times. If represents the number of tails of
the outcome, what are the possible values of ?
Solution to Let’s Practice
Solution:
1. List the possible outcomes of the experiment.
Example 2: A coin is flipped three times. If represents the number of tails of
the outcome, what are the possible values of ?
From the illustration on the previous slide, we can say
that the possible outcomes are:
𝑆={𝐻𝐻𝐻,𝐻𝐻𝑇 ,𝐻𝑇𝐻,𝐻𝑇𝑇 ,𝑇𝐻𝐻,𝑇𝐻𝑇,𝑇𝑇𝐻,𝑇𝑇𝑇}
Solution to Let’s Practice
Solution:
2. Count the number of tails in each outcome.
Example 2: A coin is flipped three times. If represents the number of tails of
the outcome, what are the possible values of ?
Possible
outcomes
Number of tails Possible
outcomes
Number of tails
HHH 0 THH 1
HHT 1 THT 2
HTH 1 TTH 2
HTT 2 TTT 3
Solution to Let’s Practice
Solution:
2. Count the number of tails in each outcome.
Example 2: A coin is flipped three times. If represents the number of tails of
the outcome, what are the possible values of ?
Based on the table, the number of tails can be , , , or .
Thus, the possible values of are and.
Group Activity
●Cite real-life situations using random
variables. Associate a numerical value to
every outcome of a random experiment;
denoted by a capital letter .
𝑋
Essay Test
Direction: Cite real-life situations using random
variables.

More Related Content

PPTX
SP Lesson 2.pptx_hahahsggssbshshnajaiajanna
PPTX
Genmath random variable RANDOM VARIABLE.pptx
PPTX
Random Variables G11
PPTX
Week 1 Statistics and Probability R.pptx
PPTX
Random-Variables.pptx grade 11 topic shs
PPTX
Lesson 1 Stat.pptx
PPTX
Math 8 Introduction to Probability.pptx
PPTX
STATISTICS and PROBABILITY.pptx file for Stats
SP Lesson 2.pptx_hahahsggssbshshnajaiajanna
Genmath random variable RANDOM VARIABLE.pptx
Random Variables G11
Week 1 Statistics and Probability R.pptx
Random-Variables.pptx grade 11 topic shs
Lesson 1 Stat.pptx
Math 8 Introduction to Probability.pptx
STATISTICS and PROBABILITY.pptx file for Stats

Similar to SP Lesson 1.pptx_statistics and probability (20)

PPTX
THIRD COT-PROBABILITY-OF-SIMPLE-EVENTS.pptx
PPTX
COT-PROBABILITY-OF-SIMPLE-EVENTS.pptx THIRD QUARTER
PPTX
COT-PROBABILITY-OF-SIMPLE-EVENTS.pptx 3RD QUARTER
PPTX
Statistics and Probability- Random Variables and Probability Distribution
PPTX
Random variable
PPTX
Random Variables.pptx
PPTX
Introduction to Probability of Compound Event - TUESDAY(MARCH 5, 2024).pptx
PPTX
MODULE 1 Third Quarter in Statistics.pptx
PDF
Topic 1 __basic_probability_concepts
PPTX
STATPRO-WEEK-1-RANDOM VAR•••••••••••••••
PPTX
The Basic concepts of probability Grade 8 topic
PPT
Marketing management planning on it is a
PPTX
Power Point Presentation FOR STATISTICS.
PPTX
The binomial distributions
DOCX
3 PROBABILITY TOPICSFigure 3.1 Meteor showers are rare, .docx
PPTX
MATH 8 QUARTER 4 GUESS THE WORD GAME MATH
PPTX
PSUnit_I_Lesson_2_Constructing_Probability_Distributions.pptx
PPTX
Introduction to probabilities and radom variables
PDF
2nd unit mathes probabality mca syllabus for probability and stats
PDF
M.C.A. (Sem - II) Probability and Statistics.pdf
THIRD COT-PROBABILITY-OF-SIMPLE-EVENTS.pptx
COT-PROBABILITY-OF-SIMPLE-EVENTS.pptx THIRD QUARTER
COT-PROBABILITY-OF-SIMPLE-EVENTS.pptx 3RD QUARTER
Statistics and Probability- Random Variables and Probability Distribution
Random variable
Random Variables.pptx
Introduction to Probability of Compound Event - TUESDAY(MARCH 5, 2024).pptx
MODULE 1 Third Quarter in Statistics.pptx
Topic 1 __basic_probability_concepts
STATPRO-WEEK-1-RANDOM VAR•••••••••••••••
The Basic concepts of probability Grade 8 topic
Marketing management planning on it is a
Power Point Presentation FOR STATISTICS.
The binomial distributions
3 PROBABILITY TOPICSFigure 3.1 Meteor showers are rare, .docx
MATH 8 QUARTER 4 GUESS THE WORD GAME MATH
PSUnit_I_Lesson_2_Constructing_Probability_Distributions.pptx
Introduction to probabilities and radom variables
2nd unit mathes probabality mca syllabus for probability and stats
M.C.A. (Sem - II) Probability and Statistics.pdf
Ad

Recently uploaded (20)

PDF
Fluorescence-microscope_Botany_detailed content
PPTX
MODULE 8 - DISASTER risk PREPAREDNESS.pptx
PPTX
climate analysis of Dhaka ,Banglades.pptx
PPTX
Computer network topology notes for revision
PDF
168300704-gasification-ppt.pdfhghhhsjsjhsuxush
PPTX
oil_refinery_comprehensive_20250804084928 (1).pptx
PPTX
Acceptance and paychological effects of mandatory extra coach I classes.pptx
PDF
[EN] Industrial Machine Downtime Prediction
PPTX
1_Introduction to advance data techniques.pptx
PPTX
AI Strategy room jwfjksfksfjsjsjsjsjfsjfsj
PPTX
IB Computer Science - Internal Assessment.pptx
PPTX
STUDY DESIGN details- Lt Col Maksud (21).pptx
PDF
Introduction to Data Science and Data Analysis
PPTX
Microsoft-Fabric-Unifying-Analytics-for-the-Modern-Enterprise Solution.pptx
PPTX
Database Infoormation System (DBIS).pptx
PPTX
The THESIS FINAL-DEFENSE-PRESENTATION.pptx
PPTX
Qualitative Qantitative and Mixed Methods.pptx
PPTX
Introduction-to-Cloud-ComputingFinal.pptx
PPT
ISS -ESG Data flows What is ESG and HowHow
Fluorescence-microscope_Botany_detailed content
MODULE 8 - DISASTER risk PREPAREDNESS.pptx
climate analysis of Dhaka ,Banglades.pptx
Computer network topology notes for revision
168300704-gasification-ppt.pdfhghhhsjsjhsuxush
oil_refinery_comprehensive_20250804084928 (1).pptx
Acceptance and paychological effects of mandatory extra coach I classes.pptx
[EN] Industrial Machine Downtime Prediction
1_Introduction to advance data techniques.pptx
AI Strategy room jwfjksfksfjsjsjsjsjfsjfsj
IB Computer Science - Internal Assessment.pptx
STUDY DESIGN details- Lt Col Maksud (21).pptx
Introduction to Data Science and Data Analysis
Microsoft-Fabric-Unifying-Analytics-for-the-Modern-Enterprise Solution.pptx
Database Infoormation System (DBIS).pptx
The THESIS FINAL-DEFENSE-PRESENTATION.pptx
Qualitative Qantitative and Mixed Methods.pptx
Introduction-to-Cloud-ComputingFinal.pptx
ISS -ESG Data flows What is ESG and HowHow
Ad

SP Lesson 1.pptx_statistics and probability

  • 1. Give your insights about the word “Random”
  • 2. In statistics, when we say random, it has something to do with probability or chances.
  • 3. Lesson 1.1 Introduction to Random Variables
  • 4. Learning Competency At the end of the lesson, the learners should be able to do the following: ● Illustrate a random variable (discrete and continuous) [M11/12SP-IIIa-1].
  • 5. Objectives 1. Define a random variable. 2. Cite real-life situations using random variables.
  • 6. Check-up Questions: Directions: 1. Fill in the KW chart 2. Indicate what you know about the subject and what you want to know about Statistics and Probability. 3. Random students will present the output. Group Activity
  • 7. Check-up Questions: 1. How did you find the activity class? 2. What have you realized after accomplishing the activity? 3. Why is there a need to study Statistics and Probability?
  • 8. Learn about It! A random experiment is an experiment that can be repeated numerous times under the same conditions. The results must be independent of one another. Example: Tossing a coin is a random experiment. Random Experiment
  • 9. Learn about It! An outcome is the result of a random experiment. Example: The possible outcomes of tossing a coin are head and tail. Outcome
  • 10. Learn about It! A sample space ­ is the set of possible outcomes of a random experiment; denoted by a capital letter, usually . Example: The sample space of tossing a coin is . Sample Space
  • 11. Learn about It! A random variable is a function that associates a numerical value to every outcome of a random experiment; denoted by a capital letter, usually . The domain is the sample space, and the range is some set of real numbers. Random Variables
  • 12. Learn about It! Example: Suppose represents the number of heads that can appear in tossing a coin. The possible values of the random variable are 0 and 1. Random Variables
  • 13. Try it! Let’s Practice Example 1: Let be a random variable that denotes the result of rolling a die. What are the possible values of ?
  • 14. Solution to Let’s Practice Example 1: Let be a random variable that denotes the result of rolling a die. What are the possible values of ? Solution: The sample space of rolling a die is Thus, the possible values of are and .
  • 15. Try it! Let’s Practice Example 2: A coin is flipped three times. If represents the number of tails of the outcome, what are the possible values of ?
  • 16. Solution to Let’s Practice Solution: 1. List the possible outcomes of the experiment. Example 2: A coin is flipped three times. If represents the number of tails of the outcome, what are the possible values of ? This can be done using a table or tree diagram. Let represent heads and represent tails.
  • 17. Solution to Let’s Practice Solution: 1. List the possible outcomes of the experiment. Example 2: A coin is flipped three times. If represents the number of tails of the outcome, what are the possible values of ?
  • 18. Solution to Let’s Practice Solution: 1. List the possible outcomes of the experiment. Example 2: A coin is flipped three times. If represents the number of tails of the outcome, what are the possible values of ? From the illustration on the previous slide, we can say that the possible outcomes are: 𝑆={𝐻𝐻𝐻,𝐻𝐻𝑇 ,𝐻𝑇𝐻,𝐻𝑇𝑇 ,𝑇𝐻𝐻,𝑇𝐻𝑇,𝑇𝑇𝐻,𝑇𝑇𝑇}
  • 19. Solution to Let’s Practice Solution: 2. Count the number of tails in each outcome. Example 2: A coin is flipped three times. If represents the number of tails of the outcome, what are the possible values of ? Possible outcomes Number of tails Possible outcomes Number of tails HHH 0 THH 1 HHT 1 THT 2 HTH 1 TTH 2 HTT 2 TTT 3
  • 20. Solution to Let’s Practice Solution: 2. Count the number of tails in each outcome. Example 2: A coin is flipped three times. If represents the number of tails of the outcome, what are the possible values of ? Based on the table, the number of tails can be , , , or . Thus, the possible values of are and.
  • 21. Group Activity ●Cite real-life situations using random variables. Associate a numerical value to every outcome of a random experiment; denoted by a capital letter . 𝑋
  • 22. Essay Test Direction: Cite real-life situations using random variables.