Here are the probabilities of the compound events in the assignment: 1a) The probability of drawing an 8 or 16 is 2/20 = 0.1 1b) The probability of drawing a 5 or a number divisible by 3 is 11/20 1c) The probability of drawing an odd number or a number divisible by 3 is 17/20 1d) The probability of drawing a number divisible by 3 or divisible by 4 is 19/20 2) The probability of drawing a violet marble or a pink marble is 40/52 3) The probability that a randomly selected household has a rabbit or a dog is 1824/4820 + 720/4820 - 252/48

1. PROBABILITY

2. INTRODUCTION
People use the term probability many times each day.
For example, physician says that a patient has a 50-50
chance of surviving a certain operation. Another
physician may say that she is 95% certain that a
patient has a particular disease.

3. PROBABILITY
the mathematical expression of uncertainty
Both science and branches of mathematics deals with chances
of an event that will happen or occur
a chance of occurrence
it ranges from 0 to 1
may use in fraction, decimal or in percent
The probability of the occurrence of an event E is given by
𝑃 𝐸 =
𝑛(𝐸)
𝑛(𝑆)
where:
E = event (subset of the sample space)
S = sample space (set of all possible outcomes)

4. TERMS IN PROBABILITY
Events
 A set of possible outcomes resulting from a particular experiment.
 A subset of a sample space of an experiment.
 Any subset E of the sample space
For example, a possible event when a single six-sided die is rolled is {5, 6}, that is, the roll could
be a 5 or a 6.
In general, an event is any subset of a sample space (including the possibility of an empty set).
Experiment
activities such as rolling a die, tossing a coin, or randomly choosing a ball from a box which
could be repeated over and over again and which have well-defined results
a process by which an outcome is obtained, i.e., rolling a die.
any activity or process that has a number of outcomes.
any planned process of data collection. It consists of a number of trials (replications) under the
same condition.

5. TERMS IN PROBABILITY
Outcome
The results of an experiment.
Any of the possible results of an experiment. In rolling a six-sided die, rolling a 2 is an outcome.
Sample space:
the set of all outcomes in an experiment
the set S of all possible outcomes of an experiment.
i.e. the sample space for a die roll is {1, 2, 3, 4, 5, 6}
Simple Events: Consider rolling a die.
a. “Getting a number 5” is called a simple event.
b. “Getting a 6” is also a simple event.
What about the event of “getting an odd number”?

6. Example
1. Consider the activity of a rolling die.
This activity has 6 possible outcomes.
S = sample space
1, 2, 3, 4, 5, 6  outcomes/sample points
n(S) = 6
2. Tossing a coin
This activity has 2 possible outcomes.
S = sample space
H, T  outcomes/sample points
n(S) = 2
3. Deck of cards
SAMPLE SPACE

7. Example
1. How many events will occur for an odd number?
A = events of having odd number
n(A) = (1, 3, 5) n(A) = 3
2. How many events will occur for an even number?
B = events of having even number
n(B) = (2, 4, 6) n(B) = 3
EVENTS

8. PROBABILITY RULES
1. The probability of any event is a number (either a fraction, a decimal or a
percent) from 0 to 1.
Example: the weather forecast shows a 75% rain
P (rain) = 75%
2. If an event will never happen, then its probability is 0.
Example: when a single die is rolled, find the probability of getting a 9.
Since the sample space consists of 1, 2, 3, 4, 5, and 6, it is impossible to get
a 9. Hence, P(9) =
0
9
= 0.

9. 3. If an event is sure to happen, then the probability is 1.
Example: When a single die is rolled, what is the probability of getting a number
less than 7?
Since all the outcomes {1, 2, 3, 4, 5, 6} are less than 7,
P (number less than 7) =
6
6
= 1
4. The sum of the probabilities of all the outcomes in the sample space is 1.
Example:
In rolling a fair die, each outcome in the sample space has a probability of
1
6
.
Hence, the sum of the probabilities of the outcomes is 1.
If a fair coin is flipped, P (T) =
1
2
and P(H) =
1
2

10. PROBABILITY OF SIMPLE EVENTS
If each of the outcomes in a sample space is equally likely to occur, then the
probability of an event E, denoted as P(E) is given by
𝑃 𝐸 =
𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑤𝑎𝑦𝑠 𝑡ℎ𝑒 𝑎𝑛 𝑒𝑣𝑒𝑛𝑡 𝑐𝑎𝑛 𝑜𝑐𝑐𝑢𝑟
𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑝𝑜𝑠𝑠𝑖𝑏𝑙𝑒 𝑜𝑢𝑡𝑐𝑜𝑚𝑒𝑠
or
𝑃 𝐸 =
𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑜𝑢𝑡𝑐𝑜𝑚𝑒𝑠 𝑖𝑛 𝑡ℎ𝑒 𝑒𝑣𝑒𝑛𝑡
𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑜𝑢𝑡𝑐𝑜𝑚𝑒𝑠 𝑖𝑛 𝑡ℎ𝑒 𝑠𝑎𝑚𝑝𝑙𝑒 𝑠𝑝𝑎𝑐𝑒
𝑃 𝐸 =
𝑛(𝐸)
𝑛(𝑆)

11. EXAMPLES
1. If a basket contains 1 pink marble, 1 yellow marble and 1 black, find the
probability that if you pick a marble, it will be a pink marble.
𝑃 𝐸 =
𝑛(𝐸)
𝑛(𝑆)
=
1
3
= 0.3333 = 33.33%
2. If a die is cast, find the probability that it falls
a. 3 face up
3. If a coin is tossed, what is the probability of getting a tail?

12. PROBABILITY OF
COMPOUND EVENTS

13. ASSIGNMENT
1. A jar contains 20 chips numbered 1 to 20. If a chip is drawn
randomly from the bowl, what is the probability that it is
a. 8 or 16?
b. 5 or a number divisible by 3?
c. Odd or divisible by 3?
d. A number divisible by 3 or divisible by 4?
2. Dominic puts 52 marbles in a box in which 12 are violet, 12
are blue, and 28 are pink. If Dominic picks one marble at
random, what is the probability that he selects a violet marble or
a pink marble?
3. Out of 4820 households surveyed, 1824 had a rabbit, 720had
a dog, and 252 had both a rabbit and a dog. What is the
probability that a randomly selected household has a rabbit or a
dog?