Exam Notes: Scientific Method & Data Analysis
Announcements and Reminders
- Assignment 1 is due Friday at 11:59 PM.
- Lab starts this week on Thursday or Friday, depending on your section.
Chapter 1: Scientific Method & Data Analysis
- The Scientific Method:
- Describes the procedures for developing and testing hypotheses.
- Separates science from other disciplines.
Observation
- Scientific studies begin with observations of natural phenomena.
- Example: Toilets around the world look different.
Question
- Observations give rise to questions that seek an explanation of the observed phenomenon.
- Example Question: What’s the best way to poop? What is the most efficient and most comfortable pooping position?
Hypothesis
- An answer to the question is proposed as a statement of cause and effect.
- Example Hypothesis: If you poop in a specific position, then you will have the most efficient and comfortable bowel movement.
- Independent Variable(s):
- X-axis of results graph.
- Predictor variable, potential “cause” of an effect.
- Example: Specific position.
- Other possibilities mentioned: Efficiency, comfort level, number of test subjects, type of food eaten.
- Dependent Variable(s):
- Y-axis of results graph.
- Response variable, potential “effect” that we think depends on the independent variable.
- Example: Efficiency, comfort level.
- Other possibilities mentioned: Specific position, number of test subjects, type of food eaten.
- Null Hypothesis:
- States that there is no effect of the independent variable on the dependent variable.
- Examples:
- Pooping position has no effect on efficiency and comfort of bowel movement.
- Pooping in a sitting position is the fastest and most comfortable position.
- Pooping in a squatting position is the fastest and most comfortable position.
Prediction
- Predictions that follow from the hypothesis must be identified and must be testable.
- Example: If you poop in position X, then you will have the most efficient and comfortable bowel movement.
Hypothesis Testing
- The predictions that follow from the hypothesis must be tested through observations and experiments (field and laboratory).
- Data from these experiments must then be analyzed and interpreted to determine if they support or reject the hypothesis.
Study Example: Straining During Defecation in Three Positions
- Study by Dov Sikirov, MD, published in Digestive Diseases and Sciences, Vol. 48, No. 7 (July 2003), pp. 1201-1205
- Aim: Compare straining forces applied when sitting or squatting during defecation.
- Methodology:
- 28 healthy volunteers (ages 17-66 years) with normal bowel function.
- Recorded time needed for sensation of satisfactory emptying in three positions:
- Sitting on a standard-sized toilet seat (41-42 cm high).
- Sitting on a lower toilet seat (31-32 cm high).
- Squatting.
- Recorded six consecutive bowel movements in each position.
- Noted subjective impression of the intensity of the defecation effort.
- Results:
- Time needed for satisfactory bowel emptying and subjectively assessed straining were reduced sharply in the squatting position compared to both sitting positions (P < 0.0001).
- Conclusion:
- Sitting defecation posture necessitates excessive expulsive effort compared to squatting.
Characteristics of a Good Scientific Study
- Healthy sample size (e.g., 28 volunteers).
- Repeated samples (e.g., 6x per person).
- Consistency across data collection.
- Volunteers were supplied with a digital timer to record the time needed for sensation of satisfactory bowel emptying.
- Used a predesigned form to record time.
- Questionnaire for subjective assessment of any difficulties in defecation graded from very easy to very difficult.
- No confounding variables.
- Volunteers instructed not to change their usual diets and defecation habits.
- Control group.
Data Representation (Graphs)
- Independent variable goes on the X-axis.
- Dependent variable goes on the Y-axis.
- If the independent variable is categorical and the dependent variable is numerical, a bar graph is appropriate.
- Example Results from Sikirov Study:
- Time spent for bowel emptying according to position:
- Squatting: Average time approximately 1 minute
- Sitting, Height 31-32cm: Average time approximately 2 minutes
- Sitting, Height 41-42cm: Average time approximately 3 minutes
- Comfort level according to position (average assessment grade):
- Squatting: Lowest difficulty score (best comfort)
- Sitting, Height 31-32cm: Intermediate difficulty score
- Sitting, Height 41-42cm: Highest difficulty score (least comfort)
Types of Experiments and Studies
- Controlled Experiment:
- Investigator manipulates independent variable and conditions of experiment.
- Also called “Field Experiments” & “Laboratory Experiments”.
- Comparative Experiment or Study:
- Investigator studies naturally occurring variation in the independent variable.
- Also called “Field Studies” or correlational study.
- Ecologists use mathematical & computer models.
- Models: abstract, simplified representations of real systems.
- Used to predict responses using a set of assumptions.
- Predictions should be testable.