This document defines key probability terms and provides examples of experiments and outcomes. It begins by defining an experiment, sample space, event, and outcome. An experiment is any activity that can be repeated under similar conditions, a sample space is the set of all possible outcomes, an event is a subset of the sample space, and an outcome is an element in the sample space. Examples are provided of rolling dice and calculating probabilities. The document then provides examples of discrete and continuous random variables and asks students to classify variables as discrete or continuous.

9. PROBABILITY

10. LET’S RECALL SOME TERMS!
Identify the term being described in
each of the following:

11. 1. Any activity which can be done
repeatedly under similar conditions
EXPERIMENT

12. 2. The set of all possible
outcomes in an experiment.
PLMESA CEPAS
SAMPLE SPACE

13. 3. A subset of a sample space.
EVENT

14. 4. The elements in a sample space.
OUTCOME

15. 5. The ratio of the number of
favorable outcomes to the number
of possible outcomes.
PROBABILITY

16. Answer the following questions.
1. In how many ways can two
coins fall? 4

17. Answer the following questions.
2. If three coins are tossed, in how
many ways can it fall?
3. In how many ways can a die
fall?
4. In how many ways can two dice
falls?
8
6
36

20. EXAMPLES:
weight
facebook messages
number of COVID-19
positive
gadgets used by students in a class
number of shots made
by a basketball player

21. EXAMPLES:
1. Rolling a die
Random variable X is the top
face of the die.
The possible values of X are
{1, 2, 3, 4, 5, 6}

22. 2. Rolling two dice
Random variable Y is the sum of the number of
dots on the top faces of each die.
Here are some possible results:

23. 3. The score a Grade 11 student gets her
Statistics test can take on values 0 to 50.
The random variable X is the test
score of a randomly selected student.
The possible values of the variable X is 0 to 50.

31. 1. The number of cookies in a jar.
2. The humidity in Pasig City.
3. The number of People who watched the Tokyo
Olympics 2020.
4. The amount of water flowing through a dam per
hour.
5. The length of time a battery lasts.

33. 1. The number of people infected by COVID-19 in
the Philippines
2. The number of text messages sent in a day
3. The time (in hours) needed to finish this activity
4. The body temperature of sick person
5. The volume of milk consumed by an infant in a day
6. The number of gadgets sold by a mobile company in a week
7. The number of grafted mango seedlings sold in a month
8. The amount of ink used in printing promotional posters
Classify the following random variable as discrete or continuous.
CLASS ACTIVITY

34. 9. The number of medical front liners in a hospital
10.The distance travelled by a car using 10 liters of gasoline
11.The time consumed on Facebook by an online seller in a day
12.The number of people helping the church every Sunday
13.The volume of water needed by an indoor plant in order
to survive in a month
14.The length of time in minutes that a scheduled airplane
flight is delayed
15.The number of aircraft near-collisions observed by an air
controller over a 24-hour period
Classify the following random variable as discrete or continuous.
CLASS ACTIVITY

35. 1. The number of people infected by COVID-19 in
the Philippines
2. The number of text messages sent in a day
3. The time (in hours) needed to finish this activity
4. The body temperature of sick person
5. The volume of milk consumed by an infant in a day
6. The number of gadgets sold by a mobile company in a week
7. The number of grafted mango seedlings sold in a month
8. The amount of ink used in printing promotional posters
Classify the following random variable as discrete or continuous.
CLASS ACTIVITY

36. 9. The number of medical front liners in a hospital
10.The distance travelled by a car using 10 liters of gasoline
11.The time consumed on Facebook by an online seller in a day
12.The number of people helping the church every Sunday
13.The volume of water needed by an indoor plant in order
to survive in a month
14.The length of time in minutes that a scheduled airplane
flight is delayed
15.The number of aircraft near-collisions observed by an air
controller over a 24-hour period
Classify the following random variable as discrete or continuous.
CLASS ACTIVITY

37. THANK YOU
FOR
LISTENING!