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Making Data Tables and Graphs

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Making Data Tables and Graphs
Data tables and graphs are useful tools for both recording and
communicating scientific data.
Making Data Tables
You can use a data table to organize and record the measurements that you
make. Some examples of information that might be recorded in data tables are
frequencies, times, and amounts.
EXAMPLE
Suppose you are investigating photosynthesis in two elodea plants. One sits in
direct sunlight, and the other sits in a dimly lit room. You measure the rate of
photosynthesis by counting the number of bubbles in the jar every ten minutes.
1. Title and number your data table.
2. Decide how you will organize the table into columns and rows.
3. Any units, such as seconds or degrees, should be included in column
headings, not in the individual cells.
The data in the table above could also be organized in a different way.
Lab Handbook R23
LAB HANDBOOK
Table 1. Number of Bubbles from Elodea
Light Time (min)
Condition 0102030405060
Sunlight 0 15 25 32 41 47 42
Dim light 0 5 8 7 10 9 9
Put units in
column heading.
Time (min) Sunlight Dim Light
00 0
10 15 5
20 25 8
30 32 7
40 41 10
50 47 9
60 42 9
Table 1. Number of Bubbles from Elodea
Always number and
title data tables.
Page 14 of 26
Making Line Graphs
You can use a line graph to show a relationship between variables. Line
graphs are particularly useful for showing changes in variables over time.
EXAMPLE
Suppose you are interested in graphing temperature data that you collected
over the course of a day.
1. Use the vertical axis of your line graph for the variable that you are
measuring—temperature.
2. Choose scales for both the horizontal axis and the vertical axis of the
graph. You should have two points more than you need on the vertical
axis, and the horizontal axis should be long enough for all of the data
points to fit.
3. Draw and label each axis.
4. Graph each value. First find the appropriate point on the scale of the hori-
zontal axis. Imagine a line that rises vertically from that place on the scale.
Then find the corresponding value on the vertical axis, and imagine a line
that moves horizontally from that value. The point where these two imag-
inary lines intersect is where the value should be plotted.
5. Connect the points with straight lines.
R24 Student Resources
LAB HANDBOOK
Figure 1. Outside Temperature
During the Day on March 7
Te mperature (˚C)
Time of day
7:00
A.M.
9:00
A.M.
11:00
A.M.
1:00
P. M .
3:00
P. M .
5:00
P. M .
7:00
P. M .
0
2
4
6
8
10
12
14
16
18
Table 1. Outside Temperature During the Day on March 7
Time of Day
7:00 A.M.9:00 A.M. 11:00 A.M. 1:00 P.M. 3:00 P.M. 5:00 P.M. 7:00 P.M.
Te mp (
˚
C) 8 9 11 14 12 10 6
Be sure to add a number
and a title to your graph.
vertical axis
horizontal axis
Page 15 of 26
Making Circle Graphs
You can use a circle graph, sometimes called a pie chart, to represent data
as parts of a circle. Circle graphs are used only when the data can be expressed
as percentages of a whole. The entire circle shown in a circle graph is equal to
100 percent of the data.
EXAMPLE
Suppose you identified the species of each mature tree growing in a small
wooded area. You organized your data in a table, but you also want to show
the data in a circle graph.
1. To begin, find the total number of mature trees.
56 + 34 + 22 + 10 + 28 = 150
2. To find the degree measure for each sector
of the circle, write a fraction comparing the
number of each tree species with the total
number of trees. Then multiply the fraction
by 360º.
Oak:
1
5
5
6
0
360º = 134.4º
3. Draw a circle. Use a protractor to draw the
angle for each sector of the graph.
4. Color and label each sector of the graph.
5. Give the graph a number and title.
Lab Handbook R25
LAB HANDBOOK
Table 1. Tree Species in
Wooded Area
Number of
Species Specimens
Oak 56
Maple 34
Birch 22
Willow 10
Pine 28
Figure 1. Tree Species in Wooded Area
Willow 10
Oak 56
Maple 34
Pine 28
Birch 22
Instead of labeling
each sector, you could
make a color key.
Oak 56
Maple 34
Pine 28
Birch 22
Willow 10
Page 16 of 26
R26 Student Resources
LAB HANDBOOK
Bar Graph
A bar graph is a type of graph in which the lengths of the bars are used to
represent and compare data. A numerical scale is used to determine the
lengths of the bars.
EXAMPLE
To determine the effect of water on seed sprouting, three cups were filled with
sand, and ten seeds were planted in each. Different amounts of water were
added to each cup over a three-day period.
1. Choose a numerical scale. The greatest value is 8, so the end of
the scale should have a value greater than 8, such as 10. Use equal
increments along the scale, such as increments of 2.
2. Draw and label the axes. Mark intervals on the vertical axis according to
the scale you chose.
3. Draw a bar for each data value. Use the scale to decide how long
to make each bar.
Figure 1. Effect of Water
on Seed Sprouting
Number of sprouting seeds
Water added each day (mL)
01020
0
2
4
6
8
10
Label each bar.
Daily Amount of Water (mL)
0
10
20
Number of Seeds That
Sprouted After 3 Days in Sand
1
4
8
Table 1. Effect of Water on Seed Sprouting
Label the scale.
Be sure to
add a number
and a title.
Page 17 of 26
Lab Handbook R27
LAB HANDBOOK
Double Bar Graph
A double bar graph is a bar graph that shows two sets of data. The two bars
for each measurement are drawn next to each other.
EXAMPLE
The same seed-sprouting experiment was repeated with potting soil. The data for
sand and potting soil can be plotted on one graph.
1. Draw one set of bars, using the data for sand, as shown below.
2. Draw bars for the potting-soil data next to the bars for the sand data. Shade
them a different color. Add a key.
Daily Amount of
Water (mL)
0
10
20
Number of Seeds
That Sprouted After
3 Days in Sand
1
4
8
Number of Seeds
That Sprouted After
3 Days in Potting Soil
2
5
9
Table 2. Effect of Water and Soil on Seed Sprouting
Figure 2. Effect of Water and
Soil on Seed Sprouting
Number of sprouting seeds
Water added each day (mL)
01020
0
2
4
6
8
10
Sand
Potting soil
Make a key to
show what each
color represents.
Leave room for
“potting soil” bars.
Page 18 of 26
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Making Data Tables and Graphs

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