The student conducted an experiment to test the hypothesis that running would increase heart rate more than walking. They measured participants' resting heart rate and heart rate after walking or running laps around a track. The results showed that average heart rate after running was higher than after walking, supporting the hypothesis. Some ways to improve the experiment include adding more participants and varying the activity, such as comparing heart rate while dancing to music versus resting.

1. Name: Chang Sun
Partners: Dongmin, Jessica
Date of experiment: 13/2/2011
Heart Rate Lab
Aim:The aim of experiment is to find out how different kinds of exercise affect the heart
rate.
Hypothesis:Running around the track will increase the heart rate more than walking
around the track, because running makes us tired and walking makes us nothing.
Variables:
Independent variable: Type of exercise: Walking vs. Running around the track,
It will be changed by alternating between walking and
running.
Dependent variable: Heart rate after exercise, it will be measured it by
measuring with stopwatch in beats per minute.
Control variables:
Control variable 1: Same temperature, it will keep it the same by doing
the exercise in the same day.
Control variable 2: Same person, it will keep it the same by using the
same test subject.
Control variable 3: Same equipment, it will keep it the same by using
the same stopwatch.
Materials:
Stopwatch
Track
Test Subject

2. Method:
1. Get Test Subject
2. Take out stopwatch and make test subject sit still
3. Take the heart rate of the test subject for 1 minute
4. Repeat step 3 three times
5. Record the average of these three results in Data Table
6. Make test subject walk 1 lap around the track
7. Measure their heart rate as soon as they finish
8. Wait until their heart rate goes back to average resting heart rate
9. Make test subject run around the track
10. Measure their heart rate as soon as they finish
11. Repeat steps 6-10 three times to obtain average heart rate after exercise
12. Record all data in Data table
Results:
Data table 1: Running walking heart rate record table (beats per minute)
Trial 1 Trial 2 Trial 3 Average
Running 159 130 160 149.67
Walking 110 118 120 116
Data table 2: Resting Heart rate (beats per minute)
Trial 1 Trial 2 Trial 3 Average
96 83 87 88.7

3. Graph 1: Running, walking and resting heart rate
Average of Running and Walking and
Resting heart rate
Resting
Activities
Walking
Running
0 20 40 60 80 100 120 140 160
Heart rate ( beats per minute)
Conclusion:
The hypothesis was correct. Running heart rate was higher than walking heart rate. The
data shows that as the test subject runs or walks, running heart rate was higher than
walking heart rate. This shows that the hypothesis was correct. When the test subject
runs, the test subject gets tired, so the heart rate goes up. When the test subject walks, the
test subject doesn’t get tired, and the test subject is normal. Therefore, the heart rate goes
little. The data is believed to be reliable, because all people’s heart rate goes up when
people run. As the same way, people’s heart rate goes up little when people walk too. It
was difficult to measure the heart rate after the test subject finished running or walking.
The reason why is that the test subject came in different time in each trial, so it was kind
of difficult to measure the heart rate after the test subject finished running or walking.
Evaluation:
One part of the method that went really well was setting up for experiment. Some things
that could be changed for the next time are place so that experiment can be more
interesting. Another thing that could be changed is to add more test subject. It would be
more interesting to compare test subject 1 and test subject 2. In a future experiment, the
input variable could be the listening to music and dance. It could make the heart rate goes
up higher and it’s fun to listen to music and dance.

4. Criterion B: Inquiring and Designing
Score
Problem Hypothesis Variables Method
Able to Able to design a logical,
Able to create and Able to explain how to
identify a complete and safe
explain a testable manipulate the
problem or method in which the
question and
hypothesis using variables and describe
student selects 4
correct scientific how sufficient, relevant
justify the appropriate materials
reasoning data will be collected
selection and equipment
Able to outline Able to describe how to Able to design a
Able to create and
a problem or manipulate the complete and safe
explain a testable
question and
hypothesis using
variables, and identify method and select 3
justify the how sufficient, relevant appropriate materials
scientific reasoning
selection data will be collected and equipment
Able to identify how to Able to design a safe
Able to create a
Able to outline manipulate the method in which
testable hypothesis
a problem or
using scientific
variables, and outline materials and 2
question how relevant data will equipment have been
reasoning
be collected selected
Able to state a
Creates a testable Attempts to design and
problem or
hypothesis
Identifies variables
experiment 1
question
The student does not read a standard described by any of the descriptors above 0
Criterion C: Processing and Evaluating
Tables / Score
Conclusion Hypothesis Method Improvements
Graphs
Collects, Accurately
Evaluates the Evaluates the Explains
organizes, interprets data
validity of a validity of the improvements or
transforms and and explains
hypothesis based method based extensions to the
presents data results using
on the results of a on the results method that would
4
in numerical correct
scientific of a scientific benefit the scientific
and/or visual scientific
investigation investigation investigation
forms correctly reasoning
Collects, Accurately Describes the Describes the Describes
organizes and interprets data validity of a validity of the improvements or
presents data and explains hypothesis based method based extensions to the
in numerical results using on the results of a on the outcome method that would
3
and/or visual scientific scientific of a scientific benefit the scientific
forms correctly reasoning investigation investigation investigation
Identifies the Identifies the Identifies
Collects and
Accurately validity of a validity of the improvements or
presents data
interprets data hypothesis based method based extensions to the
in numerical
and explains on the results of a on the outcome method that would
2
and/or visual
results scientific of a scientific benefit the scientific
forms correctly
investigation investigation investigation
Outlines the Outlines the
Collects and
validity of a validity of the Outlines
presents data
Interprets hypothesis based method based improvements or
in numerical
data on the results of a on the outcome extensions to the
1
and/or visual
scientific of a scientific method
forms
investigation investigation
Does not reach a standard described by any of the descriptors above 0

5. You didn’t site any specific data in your conclusion.