Correlation and Causation
Warm Up:
2/20
Is the statement true? Why or why
not?
1.
If I wash my hands, I will not get sick.
2.
If I wear my favorite football jersey,
my team will win the game.
3.
If I am a good driver, I will not get in
any accidents.
4.
If I memorize the answers to the
questions on the study guide, I will do
well on the test.
February 20
th
Agenda:
•
Warm Up
•
Correlation
•
Causation
•
Exit Slip
Essential Question:
What is a correlation coefficient, and what does it
tell us about two data sets?
Correlation:
Turn to pg. 534 in your workbook.
Correlation:
Brain Break!
Which actor/actress would you
choose to play you in a movie
about your life? Why?
6 O’clock
Correlation vs. Causation:
Correlation vs. Causation:
1.
Is selling ice cream
necessary
for shark
attacks to occur?
2.
Is selling ice cream
sufficient
for shark
attacks to occur?
3.
Is there a
correlation
between ice cream
sales and shark attacks?
4.
Is it true that ice cream sales
cause
shark attacks?
Correlation vs. Causation:
Correlation vs. Causation:
1.
Is an increase in the number of pirates
necessary
for the global temperature to
increase?
2.
Is an increase in pirates
sufficient
for
the global temperature to increase?
3.
Is there a
correlation
between the
number of pirates and the global
temperature?
4.
Is it true that the number of pirates
causes
the global temperature to
change?
Correlation vs. Causation:
Brain Break!
You are stranded on a deserted
island. You have three items with
you (not including a phone, boat,
raft, plane, or any other way off
the island). What three items do
you have with you?
4 O’clock
Correlation:
Turn to pg. 538 in your workbook.
Homework:
Pg. 493-495 (1-6 all)
Exit Pass:
1.
What value of r
best represents the
scatterplot to the
right.
2.
Describe the
meaning of this
value r.
3.
Is there
causation? Explain.
Homework: Pg. 493-495
Explore the concepts of correlation and causation through various scenarios such as handwashing and sickness, wearing a favorite football jersey and winning games, or memorizing study guides for tests. Distinguish between correlation and causation with thought-provoking examples like ice cream sales and shark attacks or the number of pirates and global temperatures. Engage in brain breaks and discussions related to these concepts in an interactive learning environment.
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Presentation Transcript
Warm Up: 2/20 Is the statement true? Why or why not? 1. If I wash my hands, I will not get sick. 2. If I wear my favorite football jersey, my team will win the game. 3. If I am a good driver, I will not get in any accidents. 4. If I memorize the answers to the questions on the study guide, I will do well on the test.
February 20th Agenda: Warm Up Correlation Causation Exit Slip Essential Question: What is a correlation coefficient, and what does it tell us about two data sets?
Correlation: Turn to pg. 534 in your workbook.
Brain Break! Which actor/actress would you choose to play you in a movie about your life? Why? 6 O clock
Correlation vs. Causation: 1. Is selling ice cream necessary for shark attacks to occur? 2. Is selling ice cream sufficient for shark attacks to occur? 3. Is there a correlation between ice cream sales and shark attacks? 4. Is it true that ice cream sales cause shark attacks?
Correlation vs. Causation: 1. Is an increase in the number of pirates necessary for the global temperature to increase? 2. Is an increase in pirates sufficient for the global temperature to increase? 3. Is there a correlation between the number of pirates and the global temperature? 4. Is it true that the number of pirates causes the global temperature to change?
Brain Break! You are stranded on a deserted island. You have three items with you (not including a phone, boat, raft, plane, or any other way off the island). What three items do you have with you? 4 O clock
Correlation: Turn to pg. 538 in your workbook.
Homework: Pg. 493-495 (1-6 all)
Homework: Pg. 493-495 Exit Pass: 1.What value of r best represents the scatterplot to the right. Image result for scatterplot 2.Describe the meaning of this value r. 3.Is there causation? Explain.
