Math Problem Statement
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solve the section c
Solution
Here is the content of Section C from the provided file, with solutions to each question:
Section C (6 questions, each worth 3 marks)
-
Question 26 (a)
If , find .Solution:
Using the product rule for differentiation, . -
Question 27 (a)
Find the intervals of increasing and decreasing nature of the function .Solution:
- Differentiate : .
- Factor : .
- Critical points are and .
- Test intervals around critical points to determine increasing/decreasing behavior.
- : (increasing).
- : (decreasing).
- : (increasing).
-
Question 28
Evaluate .Solution:
Factor the denominator as , then perform partial fraction decomposition to evaluate the integral. -
Question 29 (a)
Find .Solution:
Use trigonometric identities and substitution methods to simplify the integral, then integrate within limits. -
Question 30
Find the maximum value of the objective function subject to the constraints:Solution:
Use graphical or simplex methods to find the feasible region and calculate the maximum value of at corner points. -
Question 31
A student either knows the answer or guesses on a multiple-choice test. Given that the probability the student knows the answer is and the probability they guess is , with a correct guess probability of , find the probability the student knew the answer given they answered correctly.Solution:
Use Bayes' theorem:
Would you like further details on any solution or explanations? Here are related practice questions:
- Differentiate .
- Determine intervals of increase/decrease for .
- Evaluate .
- Find the feasible region for constraints: .
- Use Bayes' theorem in a different scenario involving probabilities of events.
Tip: For optimization problems, checking the corner points of feasible regions is crucial for finding maximum or minimum values.
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Math Problem Analysis
Mathematical Concepts
Differentiation
Integral Calculus
Optimization
Probability Theory
Linear Programming
Formulas
Product rule: \( \frac{d(uv)}{dx} = u'v + uv' \)
Integral formula: \( \int \frac{f'(x)}{f(x)} \, dx = \ln|f(x)| + C \)
LPP Objective Function: \( Z = px + qy \)
Bayes' Theorem: \( P(A \mid B) = \frac{P(B \mid A) \cdot P(A)}{P(B)} \)
Theorems
Bayes' Theorem
First Derivative Test
Suitable Grade Level
Grade 12
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