Lesson 5.4.3
5.4.3 Predictions, models and their limitations Quiz: Pearson Edexcel Biology, Unit 5
20 questions
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Lesson 5.4.3, Predictions, models and their limitations: 20 multiple choice questions for the Pearson Edexcel Biology (9BI0), Unit 5: On the Wild Side, written with Revision Ninja.
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The 20 questions
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What is the term for extending a climate data trend beyond observed values?
- Extrapolation
- Correlation
- Interpolation
- Regression
-
What do scientists use to simulate physical processes and predict future climate trends?
- Genetic algorithms
- Barometers
- Quadrant sampling
- Climate models
-
What major factor introduces uncertainty into long-term climate change predictions?
- Uncertain feedback loops
- Constant carbon emissions
- Known ocean volume
- Fixed solar constant
-
What makes cloud behaviour difficult to simulate accurately in climate models?
- Complex small-scale processes
- Stable atmospheric pressure
- Uniform air temperature
- Constant solar irradiance
-
What do different climate model scenarios primarily test?
- Orbital cycles
- Assumed emission levels
- Past solar radiation
- Tectonic plate movements
-
What determines the difference in predicted temperature rise between climate model scenarios?
- Core body temperature
- Ocean depth
- Latitude changes
- Greenhouse gas emissions
-
Why are climate predictions for global averages more reliable than local weather predictions?
- Higher sensor density
- Simpler mathematical equations
- Constant cloud cover
- Less short-term variability
-
What is testing a climate model using known historical data called?
- Hindcasting
- Calibration
- Extrapolation
- Forecasting
-
Which human factor creates significant uncertainty in future climate predictions?
- Future emissions policy
- Past volcanic activity
- Historical census data
- Current genetic diversity
-
What are climate models designed to predict most accurately?
- Next week's rainfall
- Long-term trends
- Exact daily weather
- Yearly weather fluctuations
-
Why might conclusions drawn from the same climate data sometimes differ between scientists?
- Subjective evaluation bias
- Flawed physics laws
- Incorrect arithmetic
- Invariable data sets
-
What effect can a positive feedback mechanism have on climate warming?
- Reduce solar output
- Lower greenhouse gases
- Prevent atmospheric change
- Amplify initial warming
-
What is the effect of melting ice exposing darker ocean surface?
- Increased albedo effect
- Decreased sea level
- Decreased heat absorption
- Increased heat absorption
-
What is the first step when a climate model's predictions differ from observed data?
- Ignore the discrepancy
- Publish the model
- Refine model assumptions
- Discard observed data
-
Why are climate model predictions typically presented as ranges rather than single values?
- To simplify calculations
- To communicate uncertainty
- To match historical data
- To hide anomalies
-
What is the main risk of extrapolating climate data to make future predictions?
- Data becomes corrupted
- Uncertainty is eliminated
- Sample size decreases
- Trends may change
-
What is a major advantage of using climate models alongside direct observations?
- Testing future scenarios
- Eliminating experimental error
- Replacing real data
- Guaranteeing perfect accuracy
-
Which factor should be evaluated when assessing the reliability of a climate model?
- Researcher popularity
- Input data quality
- Funding source size
- Graphic design quality
-
What type of mechanism counteracts a change to restore a system to its set point?
- Negative feedback
- Positive feedback
- Linear feedback
- Exponential feedback
-
Why must climate models undergo scientific peer review before findings are accepted?
- To increase funding
- To speed publication
- To standardise software
- To verify assumptions
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