1. Click the mouse button or press the Space Bar to display the answers.
5-Minute Check on Section 6-1
If two events do not affect each other, then they are called?
What type of probabilities are probability models used for?
Starting with the first row of random digits in your book, simulate getting a snow day for 25 days; given that the probability of it snowing is 10% and the probability of a snow day given that it snowed is 50%.
independent
theoretical
Assignment: 0: snow; 1-9: no snow; 0-4: snow day; 5-9: school
↑ ↓ ↑↓ ↑↓
On the 8th day it snowed and we missed school; on the 10th day it snowed and we were in school and on the 22nd day it snowed and we were in school.
Click the mouse button or press the Space Bar to display the answers.

2. Lesson 6 – 2a
Probability Models

3. Knowledge Objectives Explain what is meant by random phenomenon.
Explain what it means to say that the idea of probability is empirical.
Define probability in terms of relative frequency.
Define sample space.
Define event.

4. Knowledge Objectives Cont
Explain what is meant by a probability model.
List the four rules that must be true for any assignment of probabilities.
Explain what is meant by equally likely outcomes.
Define what it means for two events to be independent.
Give the multiplication rule for independent events.

5. Construction Objectives
Explain how the behavior of a chance event differs in the short- and long-run.
Construct a tree diagram.
Use the multiplication principle to determine the number of outcomes in a sample space.
Explain what is meant by sampling with replacement and sampling without replacement.
Explain what is meant by {A  B} and {A  B}.
Explain what is meant by each of the regions in a Venn diagram.

6. Construction Objectives Cont
Give an example of two events A and B where A  B = .
Use a Venn diagram to illustrate the intersection of two events A and B.
Compute the probability of an event given the probabilities of the outcomes that make up the event.
Compute the probability of an event in the special case of equally likely outcomes.
Given two events, determine if they are independent.

7. Vocabulary Empirical – based on observations rather than theorizing
Random – individuals outcomes are uncertain
Probability – long-term relative frequency
Tree Diagram – allows proper enumeration of all outcomes in a sample space
Sampling with replacement – samples from a solution set and puts the selected item back in before the next draw
Sampling without replacement – samples from a solution set and does not put the selected item back

8. Vocabulary Cont
Union – the set of all outcomes in both subsets combined (symbol: )
Empty event – an event with no outcomes in it (symbol: )
Intersect – the set of all in only both subsets (symbol: )
Venn diagram – a rectangle with solution sets displayed within
Independent – knowing that one thing event has occurred does not change the probability that the other occurs
Disjoint – events that are mutually exclusive (both cannot occur at the same time)

9. Idea of Probability
Chance behavior is unpredictable in the short run, but has a regular and predictable pattern in the long run
The unpredictability of the short run entices people to gamble and the regular and predictable pattern in the long run makes casinos very profitable.

10. Randomness and Probability
We call a phenomenon random if individual outcomes are uncertain but there is nonetheless a regular distribution of outcomes in a large number of repetitions
The probability of any outcome of a random phenomenon is the proportion of times the outcome would occur in a very long series of repetitions. That is, probability is long-term frequency.

11. Example 1
Using the application on your calculator flip a coin 1 time and record the results? Now flip it 50 times and record the results. Now flip it 200 times and record the results. (Use the right and left arrow keys to get frequency counts from the graph)
Number of Rolls
Heads
Tails 1 51
251 33

12. Probability Models
Probability model is a mathematical description of a random phenomenon consisting of two parts: a sample space S and a way of assigning probabilities to events S E F 5 2 1 4 3 6
Sample Space S: possible outcomes in rolling a six-sided die
Event E: odd numbered outcomes
Event F: even numbered outcomes

13. Example 2
Draw a Venn diagram to illustrate the following probability problem: getting a 5 on two consecutive rolls of the dice. E F 1 3 5 2 4 6 S

14. Tree Diagrams
Tree Diagram makes the enumeration of possible outcomes easier to see and determine N
HTT
HTH
HHT
HHH N Y Y N Y Y
Event 1
Event 2
Event 3
Outcomes N
TTT
TTH
THT
THH N Y N N Y Y
Running the tree out details an individual outcome

15. Example 3
Given a survey with 4 “yes or no” type questions, list all possible outcomes using a tree diagram. Divide them into events (number of yes answers) regardless of order.

16. Example 3 cont YNNN YNNY YNYN YNYY YYNN YYNY YYYN YYYY N N Y N N Y Y Y
Q 1
Q 2
Q 3
Q 4
Outcomes
NNNN
NNNY
NNYN
NNYY
NYNN
NYNY
NYYN
NYYY N N Y N N Y Y N N N Y Y N Y Y

17. Example 3 cont YNNN 1 YNNY 2 YNYN 2 YNYY 3 YYNN 2 YYNY 3 YYYN 3 YYYY 4
NNNN 0
NNNY 1
NNYN 1
NNYY 2
NYNN 1
NYNY 2
NYYN 2
NYYY 3
Number of Yes’s 1 2 3 4 6
Outcomes

18. Multiplication Rule
If you can do one task in n number of ways and a second task in m number of ways, then both tasks can be done in n  m number of ways.

19. Example 4
How many different dinner choices can we have if you have a choice of 3 appetizers, 2 salads, 4 entrees, and 5 deserts?
3  2  4  5 = 120 different choices

20. Replacement With replacement maintains the original probability
Draw a card and replace it and then draw another
What is your chance of drawing two hearts?
Without replacement changes the original probability
Draw two cards
What is you chance of drawing two hearts
How have the odds changed?
Events are now dependent

21. Example 5 From our previous slide:
With Replacement: (13/52) (13/52) = 1/16 =
Without Replacement (13/52) (12/51) =

22. Summary and Homework Summary Homework
Probability is the proportion of times an event occurs in many repeated trials
Probability model consist of the entire space of outcomes and associated probabilities
Sample space is the set of all possible outcomes
Events are subsets of outcomes in the sample space
Tree diagram helps show all possible outcomes
Multiplication principle enumerates possible outcomes
Sample with replacement keeps original probability
Sample without replacement changes original probability
Homework
Day One: pg , 24, 25, 29, 34, 36