chapter 7 probability. 7.1 the nature of probability
TRANSCRIPT
Definitions
An experiment is a controlled operation that yields a set of results.
The possible results of an experiment are called its outcomes.
An event is a subcollection of the outcomes of an experiment.
Definitions continued
Empirical probability is the relative frequency of occurrence of an event and is determined by actual observations of an experiment.
Theoretical probability is determined through a study of the possible outcomes that can occur for the given experiment.
Empirical Probability
Example: In 100 tosses of a fair die, 19 landed showing a 3. Find the empirical probability of the die landing showing a 3.
Let E be the event of the die landing showing a 3.
P(E)
number of times
event E has occurred
total number of times the
experiment has been performed
P(E)
19
1000.19
The Law of Large Numbers
The law of large numbers states that probability statements apply in practice to a large number of trials, not to a single trial. It is the relative frequency over the long run that is accurately predictable, not individual events or precise totals.
Equally likely outcomes
If each outcome of an experiment has the same chance of occurring as any other outcome, they are said to be equally likely outcomes.
For equally likely outcomes, the probability of Event E may be calculated with the following formula.
P(E)
number of outcomes favorable to E
total number of possible outcomes
Example
A die is rolled. Find the probability of rolling a) a 2. b) an odd number. c) a number less than 4. d) an 8. e) a number less than 9.
Solutions: There are six equally likely outcomes: 1, 2, 3, 4, 5, and 6. a)
b) There are three ways an odd number can occur 1, 3 or 5.
c) Three numbers are less than 4.
P(2)
number of outcomes that will result in a 2
total number of possible outcomes
1
6
P(odd)
3
6
1
2
P(number less than 4)
3
6
1
2
d) There are no outcomes that will result in an 8.
e) All outcomes are less than 9. The event must occur and the probability is 1.
Solutions: There are six equally likely outcomes: 1, 2, 3, 4, 5, and 6. continued
P(number greater than 8)
0
60
Important Facts
The probability of an event that cannot occur is 0. The probability of an event that must occur is 1. Every probability is a number between 0 and 1
inclusive; that is, 0 ≤ P(E) ≤ 1. The sum of the probabilities of all possible
outcomes of an experiment is 1.
Example
A standard deck of cards is well shuffled. Find the probability that the card is selected.
a) a 10.
b) not a 10.
c) a heart.
d) an ace, 2, or 3.
e) diamond and spade.
f) a card greater than 4 and less than 7.
Example continued
a) a 10
There are four 10’s in a deck of 52 cards.
b) not a 10
P(10)
4
52
1
13
P(not a 10) 1 P(10)
11
13
12
13
Example continued
c) a heart
There are 13 hearts in the deck.
d) an ace, 2 or 3
There are 4 aces, 4 twos and 4 threes, or a total of 12 cards.
P(heart)
13
52
1
4 P(A, 1 or 2)
12
52
3
13
Example continued
d) diamond and spade
The word and means both events must occur. This is not possible.
e) a card greater than 4 and less than 7
The cards greater than 4 and less than 7 are 5’s, and 6’s.
P > 4 and < 7 P 5 or 6
8
52
2
13
P(diamond and spade)
0
520
Example: Odds Against
Example: Find the odds against rolling a 5 on one roll of a die.
The odds against rolling a 5 are 5:1.
P 5 1
6 P fails to roll a 5 5
6
5616
5
66
1
5
1odds against rolling a 5
Probability from Odds
Example: The odds of spinning a blue on a certain spinner are 4:3. Find the probability that
a) a blue is spun. b) a blue is not spun.
Solution
Since the odds are 4:3 the denominators must be 4 + 3 = 7.
The probabilities ratios are:
P blue 4
7
P not blue 3
7
Expected Value
The symbol P1 represents the probability that the first event will occur, and A1 represents the net amount won or lost if the first event occurs.
E P1A
1 P
2A
2 P
3A
3 ... P
nA
n
Example
When Calvin Winters attends a tree farm event, he is given the opportunity to purchase a ticket for the $75 door prize. The cost of the ticket is $3, and 150 tickets will be sold. Determine Calvin’s expectation if he purchases one ticket.
Solution
Calvin’s expectation is - $2.48 when he purchases one ticket.
E 1
15075 149
150 3
75
150
447
150
372
150 2.48
Counting Principle
If a first experiment can be performed in M distinct ways and a second experiment can be performed in N distinct ways, then the two experiments in that specific order can be performed in M • N distinct ways.
Definitions
Sample space: A list of all possible outcomes of an experiment.
Sample point: Each individual outcome in the sample space.
Tree diagrams are helpful in determining sample spaces.
Example
Two balls are to be selected without replacement from a bag that contains one purple, one blue, and one green ball.
a) Use the counting principle to determine the number of points in the sample space.
b) Construct a tree diagram and list the sample space.
c) Find the probability that one blue ball is selected.
d) Find the probability that a purple ball followed by a green ball is selected.
Solutions
a) 3 • 2 = 6 ways
b)
c)
d)
B
P
B
G
B
G
P
G
P
PB
PGBP
BGGP
GB
P blue 4
6
2
3
P Purple,Green P P,G 1
6
Or Problems
P(A or B) = P(A) + P(B) - P(A and B) Example: Each of the numbers 1, 2, 3, 4, 5, 6,
7, 8, 9, and 10 is written on a separate piece of paper. The 10 pieces of paper are then placed in a bowl and one is randomly selected. Find the probability that the piece of paper selected contains an even number or a number greater than 5.
Solution
P(A or B) = P(A) + P(B) - P(A and B)
Thus, the probability of selecting an even number or a number greater than 5 is 7/10.
Peven or
greater than 5
P even P greater than 5 Peven and
greater than 5
5
10
5
10
3
10
7
10
Example
Each of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 is written on a separate piece of paper. The 10 pieces of paper are then placed in a bowl and one is randomly selected. Find the probability that the piece of paper selected contains a number less than 3 or a number greater than 7.
Solution
There are no numbers that are both less than 3 and greater than 7. Therefore,
P less than 3 2
10
P greater than 7 3
10
P
less than 3 or
greater than 7
2
10
3
10 0
5
10
1
2
Mutually Exclusive
Two events A and B are mutually exclusive if it is impossible for both events to occur simultaneously.
Example
One card is selected from a standard deck of playing cards. Determine the probability of the following events.
a) selecting a 3 or a jack
b) selecting a jack or a heart
Solutions
a) 3 or a jack
b) jack or a heart
P 3 P jack 4
52
4
52
8
52
2
13
P jack P heart Pjack and
heart
4
52
13
52
1
52
16
52
4
13
And Problems
P(A and B) = P(A) • P(B) Example: Two cards are to be selected with
replacement from a deck of cards. Find the probability that two red cards will be selected.
P A P B P red P red
26
5226
52
1
21
2
1
4
Example
Two cards are to be selected without replacement from a deck of cards. Find the probability that two red cards will be selected.
red red
26 25
52 511 25 25
2 51 102
P A P B P P
Independent Events
Event A and Event B are independent events if the occurrence of either event in no way affects the probability of the occurrence of the other event.
Experiments done with replacement will result in independent events, and those done without replacement will result in dependent events.