Lesson 9.5.1
9.5.1 Numerical methods in context Quiz: Pearson Edexcel Maths, Unit 9
20 questions
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Lesson 9.5.1, Numerical methods in context: 20 multiple choice questions for the Pearson Edexcel Maths (9MA0), Unit 9: Numerical methods, written with Revision Ninja.
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The 20 questions
-
What real-world quantity does finding a root often represent in applied maths?
- Maximum value
- Equilibrium point
- Rate of change
- Total area
-
If a profit function P(x) has a root at x = 15, what does this represent?
- Break-even point
- Zero sales
- Maximum profit
- Initial investment
-
When modelling population growth, what does a root of the adjusted model equation signify?
- Growth rate
- Carrying capacity
- Extinction rate
- Initial population
-
Which numerical method relies on repeatedly bisecting a closed interval containing a sign change?
- Iteration method
- Bisection method
- Newton-Raphson
- Trapezium rule
-
What condition must a continuous function satisfy on [a, b] to apply the bisection method?
- Opposite signs
- Zero derivative
- Always positive
- Equal values
-
What is the primary drawback of using the bisection method to solve contextual problems?
- Requires calculus
- Complex setup
- Slow convergence
- Diverges often
-
Which iterative formula type is used for finding roots in the form x_(n+1) = f(x_n)?
- Newton-Raphson
- Trapezium rule
- Fixed-point iteration
- Linear interpolation
-
What causes a fixed-point iteration scheme to fail and diverge from the actual root?
- Zero gradient
- Continuous domain
- Negative root
- Derivative too large
-
Which numerical technique uses tangents to rapidly approximate roots in real-world problems?
- Newton-Raphson method
- Fixed-point iteration
- Bisection method
- Simpson's rule
-
What is the standard iterative formula for the Newton-Raphson method?
- x + f(x)/f'(x)
- x - f(x)/f'(x)
- f'(x) / f(x)
- f(x) / x
-
What potential issue occurs if the starting point in Newton-Raphson has a zero derivative?
- Infinite domain
- Slow convergence
- Division by zero
- Negative output
-
Why might Newton-Raphson cycle endlessly without finding a root in certain contexts?
- Small intervals
- Linear graphs
- Positive gradients
- Stationary points
-
In a physics context, what does a root of velocity against time graph represent?
- Maximum speed
- Total distance
- Constant acceleration
- Instantaneous rest
-
When modelling cost minimisation, what feature of the cost function are we usually locating?
- Stationary point
- Asymptote
- Root
- Y-intercept
-
If f(2) = -3 and f(3) = 4, what is the initial interval for root-finding?
- [2.5, 3]
- [-3, 4]
- [0, 5]
- [2, 3]
-
What geometric feature does the bisection method ignore when locating roots?
- Continuity
- Function gradient
- Domain bounds
- Sign changes
-
Which numerical method generally requires the fewest steps to achieve high precision?
- Graphical tracing
- Newton-Raphson
- Bisection method
- Fixed-point iteration
-
What real-world scenario is best modelled by setting a cubic cost function to zero?
- Average revenue
- Marginal cost
- Peak efficiency
- Break-even volumes
-
What must be true for a function to be suitable for the Newton-Raphson method?
- Always positive
- Quadratic only
- Differentiable
- Linear
-
In financial modelling, what does a root of the net present value equation represent?
- Initial investment
- Total profit
- Payback period
- Internal rate of return
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