The students should have their data already recorded in their
data table. Now they need to graph their data. Graphing should
not be a new concept for students but take some time to refresh
their memory. Most students will use a line or a bar graph but
it's a good idea to also go over pie graphs, multiple line and
multiple bar graphs.
Here is where you can return to the creating data tables worksheet.
The students should have completed all of the data tables and you've
gone over the correct answers with them. Now, they should take
each data table and graph the data.
Again go over the correct answers with the students before they
begin creating a graph for their own data. The graph should really
help them see any patterns in the data.
Drawing Conclusions
This is a difficult process to internalize for most students because
it requires them to use their critical thinking skills in a way
that they probably have little or no experience in doing. Students
drawing conclusions from data is like a detective solving a case
from evidence. The overall questions in data analysis are: What
happened? and How come?
The students will need a lot of guidance and direction in drawing
these conclusions. Have students look carefully at their data table
and graph. They should be pulling out patterns or trends that they
see. They should also be looking for anything that looks out of
the ordinary (anomalies). Have them list each finding separately
on a data analysis chart as a statement. Once they have all of
the results laid out and have identified “what happened”, they
can start answering the “how come” question for each results statement.
Before having students analyze their own data, try going through
one example with the students then break them up into smaller groups
to see what they come up with. Reserve quite a bit of time for
this phase of the project.
Pointers:
Find as many result statements
as possible
Group similar statements together
Draw a conclusion as to why
the result happened
Provide evidence for each conclusion
made
Example : Creating Data Tables #4
RESULTS
(What happened?)
CONCLUSION
(How come?)
Keaukaha‘s
ranifall range is
1/16 – 1/4 inch
Waiākea
Uka‘s rainfall range is
1/4 – 1 inch
Keaukaha‘s
rainfall was £ 1/4 inch
Waiākea
Uka‘s rainfall was ³ 1/4 inch
Keaukaha
is closer to the ocean.
Waiākea Uka is closer to the Mountain.
Clouds
gather near mountains. More clouds lead to more rain.
So there
should be more rain near the mountain and less rain
near the ocean.
Rainfall
for both locations varied from week to week
Weather
conditions in Hilo are not constant from day to day
Rainfall
in Waiākea Uka was greater than the rainfall in Hilo
every week except the 5 th week
There
was a storm in Hilo during the 5 th week
Waiākea
Uka experienced drought or extremely dry weather during
the 5 th week
The investigator made
an experimental error; measured incorrectly, faulty
equipment
The highest rainfall in any location over the 5 weeks
was 1 inch
The
experiment was conducted during spring break when the
weather is more wet than dry, but not as wet as it would
be during the winter
Once students have gone through the practice examples with you
and have completed a data analysis chart for their own experiment,
collect their charts to check if they are on the right track. They
will use the chart to write up both their results and conclusion
sections of their report or display board.