Dis Reps
1. Robert Carter
So a problem I normally run into on a common basis is that I'm excessively tired when I wake up for work during the week. I usually go to sleep between 11 and midnight and I get about 6 to 8 hours of sleep. I get up for work at 0630 and I must be at work by 0730. It takes me about 40 mins to get ready for work and about 15 mins to arrive to work which has me arriving to work at 0725.
The scientific method could be used to understand why I wake up tired for work. I would hypothesize that going to sleep earlier and getting more hours of sleep would alleviate the feeling of being tired. To test my hypothesis, I would go to sleep at my regular time for 1 week, then go to sleep 1 hour earlier the next week and then 2 hours earlier the following week after that. Each day of all three weeks, I would keep a journal and annotate how tired I was using a scale of 1 to 5 (5 being extremely tired). After the conclusion of the 3 weeks, I would look at my results to see if my hypothesis was correct and I would determine if there were other factors at play which could of affected my study (example: diet, daily activities, health level).
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2. Marilyn Smith
For my everyday problem I chose to go with heart palpitations that I have been experiencing over the last few months. About 3 months ago I noticed my blood pressure and heart rate were elevated, causing a fluttering and out of rhythm heartbeat, usually after heavy meals, and I have since gone to the doctor. I learned that although I am young, not a smoker, relatively active, and not overweight that I was experiencing high blood pressure due to poor diet/high salt intake that was causing my heart palpitations. So I was put on a beta blocker until I made changes to my diet and focused on my salt intake in order to lower my blood pressure/ heart rate and no longer have the palpitations all together. My hypothesis is going to focus on the steps prior to going to the doctor, and an experiment I could have done on my own to determine what was causing these heart palpitations.
Hypothesis: Lowering my daily sodium intake will lower my blood pressure and stop my heart palpitations.
How would I conduct the experiment: How much sodium should I consume in a day? According to the American Heart Association, " no more than 2,300 milligrams (mg) a day and moving toward an ideal limit of no more than 1,500 (mg) per day for most adults", is the ideal amount of sodium. I believe the culprit for my palpitations is sodium, so with this information I would first want to get a control. My control would be to check my blood pressure and record my heart rate after 12hrs of no food, so preferably in the morning before breakfast. Once I have the control I can begin testing with variables. Every 2 days, for the next 2 weeks, I want to increase my daily sodium intake by 200 (mg) across the 3 meals per day.
Day 1: I would start off with just below the average recommended intake at 1,100 (mg) across 3 meals and repeat this for 2 days so as to get acclimated and ensure accuracy. I would record quantitive observations such as my blood pressure and heart rate before eating and 1 hour after eating each meal and record the data. I would also record specific qualitive observations such as to how I am feeling, record an overall comfort level from 1-10 (10 being most uncomfortable with very frequent palpitations). (Repeat on day 2)
Day 3: 1,300 (mg) ; Day 5: 1,500 (mg); Day 7: 1,700 (mg): Day 9: 1,900 (mg); Day 11: 2,100 (mg); Day 13: 2,300 (mg); Day 15: 2,500 (mg).
Once I have accumulated all the data it would be relatively easy to compare to my hypothesis and either reject or support it. If the experiment went well I should be able to pinpoint precisely what my ideal daily sodium intake should be and reduce or eliminate the heart palpitations all together.
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3.
Antonia Davis posted May 21, 2021 9:29 AM
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SCIENTIFIC METHOD APPLICATION
1. PROBLEM
The problem I encounter every day is a runny nose every morning during the Winter time. When I wake up, I always experience mucus dripping from my nose; this has been going on for more than five years. Sometimes my nose becomes completely congested, leading to breathing difficulties. When it is cold, the runny nose caused sore throat, fatigue, facial pressure, cough, and sometimes fever due to flu. Most of the time, I sneeze with itchy and watery eyes.
2. HYPOTHESIS STATEMENT
The Dependent Variable is a runny nose, and the independent variables are cold, flu, and allergies. The study will test allergies as the independent Variable.
The null hypothesis (H0): Allergies do not cause a runny nose.
The Alternative hypothesis (H1): Allergies cause a runny nose.
3. DESIGNING EXPERIMENTAL DESIGN
While designing the experimental treatment, allergies will be treated as the categorical Variable considering different levels of specific Immunoglobulin E in the blood. I will experiment with a test every morning between 6 am-8 am for seven days. An allergy testing scale of 10 points will be used to perform my test level on specific IgE in my blood.
4. DATA COLLECTION
I will undertake a 7-day test examination will be done when I have a runny nose.
A skin prick test will be completed to check for body reaction to several substances.
A blood test will be done to measure the amount of immunoglobulin E antibodies to particular allegiance in my blood.
5. RESULTS AND ANALYSIS
Data collected will be entered in the Statistical Package of Social Sciences (SPSS) to yield mode to summarize the data in the form of bar, graphs, and charts. Chi test will be used to test for the association between the independent Variable (allergies) and the Dependent Variable (runny nose). Statistical significance will be set at a 95% confidence level (P-value of less than or equal to 0.05)
6. CONCLUSION
The results from the analysis will indicate whether the claim that formed the basis of the hypothesis will be accepted or not. The probability value or critical values can be used to make this decision. If the results indicates that there is a high chance to support the claim, allergies cause running nose, and then the claim is retained. However, if there is a low chance/ probability that is the claim is not valid, then it is rejected.
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