BackBIO 101 Midterm Practical Review: Lab Safety, Measurement, and Scientific Method
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Lab Safety, Measurement, and Scientific Method
Lab Safety
Laboratory safety is essential for preventing accidents and ensuring a productive learning environment. Understanding safety symbols, following rules, and proper clean-up procedures are fundamental skills for all biology students.
Common Lab Safety Symbols: Indicate hazards such as hot surfaces, cold hazards, flammable materials, and explosive materials.
Lab Safety Rules:
Dress appropriately (lab coats, goggles, closed-toe shoes).
No food or drink in the lab.
Be careful with chemicals and equipment.
Keep work areas clean and organized.
Know emergency procedures (e.g., location of eyewash stations, fire extinguishers).
Lab Clean-up Procedure:
Return equipment to its proper place.
Dispose of materials and chemicals properly.
Clean glassware, lab sink, and tables.
Wash hands thoroughly after lab work.
Measurement and Unit Conversions
Accurate measurement and correct unit conversions are crucial for scientific experiments. The metric system is standard in biology labs.
Temperature Conversions:
Celsius to Fahrenheit:
Fahrenheit to Celsius:
Celsius to Kelvin:
Kelvin to Celsius:
Mass Conversions:
Milligrams to grams:
To convert mg to g:
Example:
Volume Conversions:
Liters to milliliters:
To convert L to mL:
Example:
Length Conversions:
1 cm = 10 mm
1 m = 100 cm
1 km = 1000 m
Type | Base Unit | Common Conversions |
|---|---|---|
Length | meter (m) | 1 m = 100 cm = 1000 mm |
Mass | gram (g) | 1 g = 1000 mg |
Volume | liter (L) | 1 L = 1000 mL |
Temperature | Celsius (°C) | °C to K: |
Scientific Method
The scientific method is a systematic approach to investigation, involving observation, hypothesis formation, experimentation, and analysis.
Steps of the Scientific Method:
Observation
Question
Hypothesis
Experiment
Data Collection
Analysis
Conclusion
Variables in Experiments:
Independent Variable (IV): The factor that is deliberately changed or manipulated by the experimenter. Plotted on the X-axis of a graph. Example: In an experiment to see how the amount of water you drink before a race affects your speed, the IV is the amount of water consumed.
Dependent Variable (DV): The factor that changes in response to the independent variable; what is measured in the experiment. Plotted on the Y-axis. Example: In the same experiment, the DV is the time it takes to finish the race.
Quantitative Data: Accuracy and Precision
Quantitative data must be both accurate and precise to be reliable in scientific research.
Precision: How close repeated measurements are to each other (consistency or specificity).
Accuracy: How close a measurement is to the true or accepted value (correctness).
Always record the most specific reading on your instrument and estimate one more decimal place if possible.
Type | Description |
|---|---|
Accurate & Precise | Measurements are close to each other and to the true value. |
Precise but not Accurate | Measurements are close to each other but not to the true value. |
Accurate but not Precise | Measurements are close to the true value but not to each other. |
Neither Accurate nor Precise | Measurements are neither close to each other nor to the true value. |
Example:
If a scale consistently reads 1.2 g for a 1.0 g standard, it is precise but not accurate.
If readings are 0.9 g, 1.1 g, and 1.0 g for a 1.0 g standard, they are accurate but not precise.
Additional info: These foundational concepts are essential for success in all laboratory-based biology courses and are frequently tested in practical exams.