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Exponential Functions — Free MYP5 Mathematics (Standard) Practice Questions
1QuestionGrowthConcept Practice
2 marks~3 minCriterion C
A population of bacteria doubles every hour. A researcher models the population using y=a⋅bx, where x is time in hours. The population is 4 000 at x=1 and 8 000 at x=2.
a
Deduce the value of b, the growth factor, showing your method. [1]
b
Interpret what the value of b means in the context of this bacterial population. [1]
Solutions
2QuestionGraphing exponentialAssessment Practice
2 marks~3 minCriterion B
The graph shows two exponential functions: curve A, y=2x, and curve B, y=(21)x.
Explain why the two curves are reflections of each other across the y-axis, using the relationship between the two functions. In your answer, state what this means for a general point (a,b) on curve A. [2]
Solutions
3QuestionDecayConcept Practice
4 marks~6 minCriterion A
A radioactive substance decays according to the model y=80(0.5)t/5, where y is the mass in grams and t is the time in years. The graph passes through the points (0,80), (5,40), and (10,20).
a
Deduce the half-life of the substance from the graph. [1]
b
Calculate the mass remaining after 15 years. [1]
c
A laboratory requires at least 15 g of the substance to conduct a valid experiment. Advise the laboratory whether the experiment can be conducted after 15 years, justifying your answer with reference to your calculated value. [2]
Solutions
4QuestionCompare growthAssessment Practice
2 marks~3 minCriterion D
A social media post goes viral. The number of shares is modelled by two competing predictions: a linear model f(x)=2x+1 and an exponential model g(x)=2x, where x is the number of days after posting and the output is in thousands of shares.
A campaign is considered successful if it exceeds 10 thousand shares by day 5.
a
Calculate f(5) and g(5). [1]
b
Both models predict a successful campaign. Justify which model a campaign manager should rely on for long-term planning, and defend your choice using the day-5 values and the growth behaviour of each model. [1]