Solving exponential equationsAQA A-Level Maths: Subtopic test
10 questions, 27 marks
AQA A-Level Maths
Solving exponential equations
Total 27 marks
Name
Class
Date
- 1The equation is to be solved using logarithms.(a)Which expression gives the solution of ?[1 mark]
- A
- B
- C
- D
(b)Find the value of to 3 significant figures.[1 mark]- A
- B
- C
- D
(c)Hence, or otherwise, solve , giving your answer to 3 significant figures.[2 marks]Total for question 1: 4 marks
- 2£2000 is invested in an account that pays 3.5% compound interest per year. After complete years the value of the investment is £.(a)Which equation must be solved to find when the investment first reaches £3000?[1 mark]
- A
- B
- C
- D
(b)What is the smallest whole number of years after which the investment is worth more than £3000?[1 mark]- A
- B
- C
- D
(c)Find the smallest whole number of years after which the investment is worth more than £5000.[2 marks]Total for question 2: 4 marks
- 3Two equations are given: and .(a)Solve , giving your answer to 3 significant figures.[3 marks](b)Solve . Give the exact solution and its value to 3 significant figures.[4 marks]
Total for question 3: 7 marks
- 4Two bacterial cultures are studied. In culture A the number of bacteria, , after hours is modelled by . In culture B an antibiotic is added, and the number of bacteria, , after hours is modelled by .(a)(i) Write down the number of bacteria in culture A at .[6 marks]
(ii) Find the time at which culture A reaches 20 000 bacteria.
(iii) Find the time taken for culture A to double in size.
Give your times in hours to 3 significant figures.(b)(i) Find the time at which culture B falls to 500 bacteria.[6 marks]
(ii) Find the time taken for culture B to halve in size.
(iii) State, with a reason, whether this model ever predicts that culture B has no bacteria.
Give your times in hours to 3 significant figures.Total for question 4: 12 marks
End of questions
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).