Write a research question to examine the relationship between exercise (cause) and the change in heartrate (effect).
Design your own lab (in groups) on feedback mechanisms to maintain homeostasis.
Your experiment should include a minimum of your test subjects conducting 1 experiment a minimum of 3 times (e.g. 3 sets of 25 jumping jacks at a cadence of one per second)
You should be able to separate your test subjects into two or more groups so that you can compare various groups (e.g. boys v. girls, or athletes v. non-athletes)
Draw a conclusion from the data you have collected.
Evaluate the effectiveness of your experiment.
Be sure your research question meets the following criteria:
Be Specific: Your question should be clear and focused. A good research question often starts with “how,” “what,” or “why.”
Make It Measurable: Ensure that the question can be answered through experiments or observations you can realistically conduct.
Ensure Relevance: The question should contribute to understanding the topic better and offer insights that are significant in the context of your studies.
Clear and focused. In other words, the question should clearly state what the writer needs to do.
Not too broad and not too narrow. The question should have an appropriate scope. If the question is too broad it will not be possible to answer it thoroughly within the word limit. If it is too narrow you will not have enough to write about and you will struggle to develop a strong argument.
Not too easy to answer. For example, the question should require more than a simple yes or no answer.
Not too difficult to answer. You must be able to answer the question thoroughly within the given timeframe and word limit.
Researchable. You must have access to a suitable amount of quality research materials, such as academic books and refereed journal articles.
Analytical rather than descriptive. In other words, your research question should allow you to produce an analysis of an issue or problem rather than a simple description of it.
How will you measure your Heart Rate
Stopwatch and pulse
Cell phone heart rate monitor
DO NOT USE A PAID VERSION, just a free version is good enough.
Personal watch (Apple Watch, Samsung Galaxy, FitBit, etc)
Locations to Test:
Within sight of MHS 100
Quantitative Data:
Create a spreadsheet to collect all of your data.
You should have a column for each of the qualities (age, athlete, gender, etc.) and quantities you will be collecting. Please use the Human Reaction Time data table as a guide.
Qualitative Observations:
Paragraph or bullets
Only put relevant data into your data table (color of shirt is not that important)
Patterns and trends in the data discussed with reference to graphs and tables
Variation within the data discussed
Anomalies identified and discussed
Pattern in the data related to the RQ
Evidence / Analysis of Data:
Table 1: Raw Data: Include a table for your Raw data (data collected directly from the lab)
Table 2: Sample Calculations: Include one example of each type of calculation you performed. (Optional - Only necessary if doing a complex calculation)
Table 3: Processed Data: After you have completed any calculations, the data should be presented here.
Graph #1 - x: A graph of your processed data.
THIS IS THE EVIDENCE that you should refer to.
2-3 sentences saying what this graph means.
Clearly answers the research question.
Use your data (both quantitative and qualitative) to describe the results of your investigation.
Identify any trends or patterns you notice.
Include a scientific explanation for your results
Explains how and why EACH piece of evidence supports your claim.
Interpretation of data gathered from observations, experience, or research materials.
Include an explanation of the underlying science concept (Homeostasis) that produced the evidence or data.
Goals:
Evaluates weaknesses and limitations.
Evaluation of Results -
Were the measurements accurate (close to the true values) and precise (close to each other)?
Is your conclusion (claim) reasonable or not, based on your evidence?
Each Limitation of Design needs to be supported with evidence from your data.
Limitations of Procedure -
Focus on Design of experiment
Control Variables: What variables did you not control or forgot to control?
# of Trials:
Did you collect enough trials to eliminate possible outliers?
Range of data:
Did you collect data over the entire range of possibilities that your equipment allowed for?
Did you collect too much of a range? Beyond the limitations of your equipment. Did you max out your sensors/measuring device?
Improving the Experiment:
From the list of Limitations above, suggest reasonable improvements to the design of the experiment to increase the reliability of your evidence.
Utilize a table as shown to the right
Note: do not say “Measurements could have been more accurate…” or “there was error in measurement.” Or “we could have worked harder/paid more attention.” Those are not valid evaluation statements and you are just wasting paper.
Are there further experiments that can be performed or did the data suggest other avenues to explore?