Transcript ppt

Reading & Understanding
Graphs
Examine each graph carefully.
What was tested, changed, or compared
(INDEPENDENT VARIABLE) is plotted
on the X-axis.
The data that was observed & measured
(DEPENDENT VARIABLE) is plotted on
the Y-axis.
• The title and the label on the X-axis tells
us that the amount of fertilizer was
tested in this experiment (Independent
variable).
• The Y-axis tells us that plant height was
measured in centimeters in this
experiment (Dependent variable).
• Since there is a difference in the heights
of the plants that received different
fertilizers, we can say that there seems
to be a relationship between plant height
and type of fertilizer.
• The independent variable (type of
fertilizer) affected the dependent variable
(plant height).
• The title and the X-axis tells us that the
types of degrees earned at colleges
and universities between 1999 and
2000 were compared.
• The Y-axis tells us the number of
people earning these degrees was
measured. Counting is a type of
measurement.
• There is a significant difference between
the number of people graduating with
business degrees and the number of
people graduating with other types of
degrees.
• We can say that the type of degree
(independent variable) affects the
number of people that get that degree
(dependent variable).
• The title and the X-axis tells us that the
independent variable (what was tested
by the scientist) was time spent
studying.
• The Y-axis tells us that the dependent
variable (what was measured by the
scientist) was grades on a test.
• We can see that the time spent studying
increases along the X-axis.
• We can see that tests grades increases
along the Y-axis.
• As time spent studying increases, so do
tests grades.
• There seems to be a relationship
between time spent studying and test
grades.
• The more time spent studying, the higher
the test grade.
• The title and the X-axis tells us years
were being compared (independent
variable) by the scientist. When time is a
variable, it is plotted on the X-axis.
• The Y-axis tells us that the number of
students [in millions] was measured by
the scientist (dependent variable).
• We can see that the time in years
increases along the X-axis.
• We can see that the number of students
in millions increases along the Y-axis.
• As time increases, so does the number
of students.
• There seems to be a relationship
between time and the number of
students.
• The more time increases, the more
students are enrolled in public schools.
• The title and the X-axis tells us that the
independent variable is the number of
missed free throws per game. This is
what was tested by the scientist.
• The Y-axis tells us that the dependent
variable is the number of wins. This is
what was measured by the scientist.
• We can see that the number of free throws
increases along the X-axis.
• We can see that the number of wins
decreases along the Y-axis.
• As the number missed free throws increases,
the number of wins decreases..
• There seems to be a relationship between
number of missed free throws and the
number of games won.
• The more free throws that are missed, the
more games that are lost.