4. VOCABULARY
1. Experiment: An activity that produces data that is
observed and recorded
2. Trial:
3. Outcome:
4. Event:
5. Probability:
6. Theoretical Probability:
7. Experimental Probability:
Thursday, September 8, 2011
5. VOCABULARY
1. Experiment: An activity that produces data that is
observed and recorded
2. Trial: One single performance of the experiment
3. Outcome:
4. Event:
5. Probability:
6. Theoretical Probability:
7. Experimental Probability:
Thursday, September 8, 2011
6. VOCABULARY
1. Experiment: An activity that produces data that is
observed and recorded
2. Trial: One single performance of the experiment
3. Outcome: The result of one trial
4. Event:
5. Probability:
6. Theoretical Probability:
7. Experimental Probability:
Thursday, September 8, 2011
7. VOCABULARY
1. Experiment: An activity that produces data that is
observed and recorded
2. Trial: One single performance of the experiment
3. Outcome: The result of one trial
4. Event: A collection of outcomes of an experiment
5. Probability:
6. Theoretical Probability:
7. Experimental Probability:
Thursday, September 8, 2011
8. VOCABULARY
1. Experiment: An activity that produces data that is
observed and recorded
2. Trial: One single performance of the experiment
3. Outcome: The result of one trial
4. Event: A collection of outcomes of an experiment
5. Probability: The likelihood that something will occur
6. Theoretical Probability:
7. Experimental Probability:
Thursday, September 8, 2011
9. VOCABULARY
1. Experiment: An activity that produces data that is
observed and recorded
2. Trial: One single performance of the experiment
3. Outcome: The result of one trial
4. Event: A collection of outcomes of an experiment
5. Probability: The likelihood that something will occur
6. Theoretical Probability: What you expect should occur in
an experiment
7. Experimental Probability:
Thursday, September 8, 2011
10. VOCABULARY
1. Experiment: An activity that produces data that is
observed and recorded
2. Trial: One single performance of the experiment
3. Outcome: The result of one trial
4. Event: A collection of outcomes of an experiment
5. Probability: The likelihood that something will occur
6. Theoretical Probability: What you expect should occur in
an experiment
7. Experimental Probability: What actually occurs when
you conduct an experiment
Thursday, September 8, 2011
15. QUESTION
What is the difference between theoretical and
experimental probability?
Thursday, September 8, 2011
16. EXAMPLE 1
You roll one six-sided die. What is the probability of rolling a
number greater than 4?
Thursday, September 8, 2011
17. EXAMPLE 1
You roll one six-sided die. What is the probability of rolling a
number greater than 4?
P(# > 4)
Thursday, September 8, 2011
18. EXAMPLE 1
You roll one six-sided die. What is the probability of rolling a
number greater than 4?
2
P(# > 4) =
6
Thursday, September 8, 2011
19. EXAMPLE 1
You roll one six-sided die. What is the probability of rolling a
number greater than 4?
2 1
P(# > 4) = =
6 3
Thursday, September 8, 2011
20. EXAMPLE 1
You roll one six-sided die. What is the probability of rolling a
number greater than 4?
2 1
P(# > 4) = = or
6 3
Thursday, September 8, 2011
21. EXAMPLE 1
You roll one six-sided die. What is the probability of rolling a
number greater than 4?
2 1 1
P(# > 4) = = or 33 %
6 3 3
Thursday, September 8, 2011
22. EXAMPLE 2
A bag of lollipops has 4 orange, 6 grape, 2 watermelon, and 5
cherry lollipops. Find the following probabilities of getting a
random lollipop.
a. P(grape) b. P(not watermelon)
c. P(orange or cherry)
Thursday, September 8, 2011
23. EXAMPLE 2
A bag of lollipops has 4 orange, 6 grape, 2 watermelon, and 5
cherry lollipops. Find the following probabilities of getting a
random lollipop.
a. P(grape) b. P(not watermelon)
6
17
c. P(orange or cherry)
Thursday, September 8, 2011
24. EXAMPLE 2
A bag of lollipops has 4 orange, 6 grape, 2 watermelon, and 5
cherry lollipops. Find the following probabilities of getting a
random lollipop.
a. P(grape) b. P(not watermelon)
6 15
17 17
c. P(orange or cherry)
Thursday, September 8, 2011
25. EXAMPLE 2
A bag of lollipops has 4 orange, 6 grape, 2 watermelon, and 5
cherry lollipops. Find the following probabilities of getting a
random lollipop.
a. P(grape) b. P(not watermelon)
6 15
17 17
c. P(orange or cherry)
9
17
Thursday, September 8, 2011
26. EXAMPLE 3
Find a coin and flip it 20 times. Keep track of how many
heads and tails you flip in the table. Then answer the
questions based on your results.
Thursday, September 8, 2011
27. EXAMPLE 3
Find a coin and flip it 20 times. Keep track of how many
heads and tails you flip in the table. Then answer the
questions based on your results.
Outcome Heads Tails
Tally
Frequency
Thursday, September 8, 2011
28. EXAMPLE 3
Find a coin and flip it 20 times. Keep track of how many
heads and tails you flip in the table. Then answer the
questions based on your results.
Outcome Heads Tails
n
ow
yo ur
Tally do nt!!!
to me
ed eri
ne xp
You e
Frequency
Thursday, September 8, 2011
29. EXAMPLE 3
a. What percentage of heads were you expecting before you
performed your experiment?
b. What percentage of heads did you actually have in your
experiment?
Thursday, September 8, 2011
30. EXAMPLE 3
a. What percentage of heads were you expecting before you
performed your experiment?
Hopefully, you expected 50%. Why should you expect this?
b. What percentage of heads did you actually have in your
experiment?
Thursday, September 8, 2011
31. EXAMPLE 3
a. What percentage of heads were you expecting before you
performed your experiment?
Hopefully, you expected 50%. Why should you expect this?
b. What percentage of heads did you actually have in your
experiment?
Answers will vary. Why is that?
Thursday, September 8, 2011
33. PROBLEM SET
p. P9 #1-23 odd
“Your time is limited, so don’t waste it living someone else’s life. Don’t
be trapped by dogma - which is living with the results of other people’s
thinking. Don’t let the noise of other’s opinions drown out your own
inner voice. And most important, have the courage to follow your
heart and intuition. ey somehow already know what you truly want
to become. Everything else is secondary.” - Steve Jobs
Thursday, September 8, 2011