The document discusses different types of graphs used for presenting scientific data, including line graphs, bar graphs, and pie charts, highlighting their specific applications and advantages. It emphasizes the importance of organizing data in science for effective communication of results, as well as providing examples related to the impact of fertilizer on plant height. Key concepts include the distinction between independent and dependent variables and the significance of visual data representation.

1. Types of Graphs
(I would take some notes
on this!)
• Line graphs – data that
change
– Independent variable – one you
set (x-axis)
– Dependent variable – changes in
response to independent (y
axis), one you measure
Presenting Scientific Data

2. • Line graphs are best for continuous change.
– dependent variable: values depend on what
happens in the experiment
• Plotted on the x-axis
– independent variable: values are set before the
experiment takes place
• Plotted on the y-axis
Line Graph
• shows the
relationship
between 2
variables
– Dependant
– Independent

3. ble
ria
a
V
t
n
e

4. d
n
e
p
e
D
Independent
Variable
Line Graph

5. Other types of graphs
• Bar graphs – compare data

6. for several items/events • Pie
charts – display data that are
parts of a whole
Bar Graph
• shows
information
collected by
counting

7. Bar Graph
Pie Graph
• shows
distribution

8. of parts
within a
whole
quantity
– Rarely used
for science
labs!
Presenting Scientific Data,
continued
Composition of a Winter Jacket

9. • Pie graphs show the parts
of a whole.
– A pie graph is ideal for
displaying data that are
parts of a whole.
– Data in a pie chart is
presented as a percent.
Presenting Scientific Data,
continued
〉Why is organizing data an important
science skill?

10. 〉Because scientists use written reports and
oral presentations to share their results,
organizing and presenting data are
important science skills.
Bellringer
Imagine your teacher asked you to study
how the addition of different amounts of
fertilizer affect plant heights. In your
experiment, you collect the data shown in
the table below. Use this data to answer the
following questions.

11. Bellringer, continued
1. Which amount of fertilizer
produced the tallest plants?
2. Which amount of fertilizer
produced the smallest plants? 3.
Plot the data on a grid like the

12. one below.
m
c
Affect of fertilizer on
plant height
25
20
15
t in
n

13. pla
f o
t
h
eig
10
5
H
0
10 25 20 0 5 30 15 35 Amount
of Fertilizer (g)
t
)
Affect of
Fertilizer on
Plant height
25
20
n
Pla
s r

14. e 15
f
t
e
o
t
tim
h
eig
n e
c
10
(
H
5
0
0 5 10 15 20 25 30 35
Amount of fertilizer
(grams)
Key Ideas

15. 〉Why is organizing data an
important science skill?
〉How do scientists handle very
large and very small
numbers?
〉How can you tell the precision
of a measurement?